(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
(* CreatedBy='Mathematica 9.0' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 157, 7]
NotebookDataLength[ 893491, 17567]
NotebookOptionsPosition[ 877090, 17043]
NotebookOutlinePosition[ 877447, 17059]
CellTagsIndexPosition[ 877404, 17056]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[CellGroupData[{
Cell["234 Lichtquellen", "Title",
CellChangeTimes->{{3.564479086921564*^9, 3.564479094431097*^9},
3.564484416959182*^9, 3.564570623183568*^9}],
Cell[CellGroupData[{
Cell["Sonnenspektrum", "Section",
CellChangeTimes->{{3.564479159740716*^9, 3.564479161658573*^9},
3.564484416959441*^9, 3.564570623183873*^9}],
Cell["Import der gemessenen Daten.", "Text",
CellChangeTimes->{{3.564483328813442*^9, 3.564483332075283*^9},
3.564484416959689*^9, 3.564570623184166*^9}],
Cell[BoxData[
RowBox[{
RowBox[{"sonnenspektrum", " ", "=", " ",
RowBox[{"Import", "[",
RowBox[{
"\"\\"", ",",
"\"\
\""}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.5644794484113283`*^9, 3.564479460591337*^9}, {
3.5644795939204817`*^9, 3.564479648579673*^9}, {3.564483288237018*^9,
3.564483288791595*^9}, 3.564484416960052*^9, 3.5645706231845417`*^9}],
Cell[BoxData[
RowBox[{
RowBox[{"himmelsspektrumOhneFenster", " ", "=", " ",
RowBox[{"Import", "[",
RowBox[{
"\"\\"", ",",
"\"\\""}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564479804544333*^9, 3.564479837383031*^9}, {
3.564480083232499*^9, 3.564480102077187*^9}, 3.564483303287031*^9,
3.564484416961162*^9, 3.564570623184896*^9}],
Cell[BoxData[
RowBox[{
RowBox[{"himmelsspektrumMitFenster", " ", "=", " ",
RowBox[{"Import", "[",
RowBox[{
"\"\\"", ",",
"\"\\""}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564479896389455*^9, 3.564479911863556*^9},
3.564483310862555*^9, 3.564484416962275*^9, 3.564570623185223*^9}],
Cell["\<\
Um einfacher rechnen zu k\[ODoubleDot]nnen, spalten wir die Listen auf.\
\>", "Text",
CellChangeTimes->{{3.564483336038463*^9, 3.5644833405788*^9}, {
3.564483440287945*^9, 3.564483441668458*^9}, {3.5644835894603786`*^9,
3.564483590434243*^9}, 3.564484416963462*^9, 3.564570623185526*^9}],
Cell[BoxData[
RowBox[{
RowBox[{"wavelengths", "=",
RowBox[{
RowBox[{"Transpose", "[", "sonnenspektrum", "]"}], "[",
RowBox[{"[", "1", "]"}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564481202679839*^9, 3.564481371712221*^9},
3.5644844169637957`*^9, 3.564570623185817*^9}],
Cell[BoxData[
RowBox[{
RowBox[{"sonnenvalues", "=",
RowBox[{
RowBox[{"Transpose", "[", "sonnenspektrum", "]"}], "[",
RowBox[{"[", "2", "]"}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.5644813902592773`*^9, 3.564481403357839*^9},
3.5644844169648933`*^9, 3.564570623186111*^9}],
Cell[BoxData[
RowBox[{
RowBox[{"himmelsMitValues", "=",
RowBox[{
RowBox[{"Transpose", "[", "himmelsspektrumMitFenster", "]"}], "[",
RowBox[{"[", "2", "]"}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564481406567958*^9, 3.564481421330845*^9},
3.564484416966009*^9, 3.564570623186397*^9}],
Cell[BoxData[
RowBox[{
RowBox[{"himmelsOhneValues", "=",
RowBox[{
RowBox[{"Transpose", "[", "himmelsspektrumOhneFenster", "]"}], "[",
RowBox[{"[", "2", "]"}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564481427908399*^9, 3.564481431860683*^9},
3.564484416967115*^9, 3.564570623186679*^9}],
Cell[BoxData[
RowBox[{
RowBox[{"T", "=", "Transpose"}], ";"}]], "Input",
CellChangeTimes->{{3.564481608386293*^9, 3.5644816158196983`*^9},
3.564483599539117*^9, 3.564484416968151*^9, 3.564570623186942*^9}],
Cell[BoxData[
RowBox[{
RowBox[{"ll", "[", "lines_", "]"}], ":=",
RowBox[{"Map", "[",
RowBox[{
RowBox[{
RowBox[{"Line", "[",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"#", ",", "0"}], "}"}], ",",
RowBox[{"{",
RowBox[{"#", ",", "100000"}], "}"}]}], "}"}], "]"}], "&"}], ",",
RowBox[{"QuantityMagnitude", " ", "@", " ",
RowBox[{"UnitConvert", "[",
RowBox[{"lines", ",", "\"\\""}], "]"}]}]}],
"]"}]}]], "Input",
CellChangeTimes->{{3.5645736370468893`*^9, 3.564573661537347*^9}, {
3.564573698896447*^9, 3.564573734821587*^9}, 3.564686079057171*^9}],
Cell[CellGroupData[{
Cell["Glasabsorption", "Subsection",
CellChangeTimes->{{3.564483632993348*^9, 3.564483634513262*^9},
3.564484416969285*^9, 3.5645706231872597`*^9}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"ListPlot", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"T", "[",
RowBox[{"{",
RowBox[{"wavelengths", ",", "himmelsMitValues"}], "}"}], "]"}], ",",
RowBox[{"T", "[",
RowBox[{"{",
RowBox[{"wavelengths", ",", "himmelsOhneValues"}], "}"}], "]"}]}],
"}"}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",",
RowBox[{"GridLines", "\[Rule]", "Automatic"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLegends", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}],
"}"}]}], ",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{
"\"\\"", ",", "Bold"}],
"]"}]}]}], "]"}]], "Input",
CellChangeTimes->{{3.564482266840465*^9, 3.564482333073411*^9}, {
3.564483756033368*^9, 3.564483769460803*^9}, {3.564483835508008*^9,
3.564483868753899*^9}, {3.564484232842105*^9, 3.5644842493381443`*^9}, {
3.5644843143565073`*^9, 3.564484320987886*^9}, 3.564484416969811*^9,
3.564570623187763*^9}],
Cell[BoxData[
TemplateBox[{GraphicsBox[{{{}, {{
RGBColor[0.24720000000000014`, 0.24, 0.6],
LineBox[CompressedData["
1:eJxVnXdc19X3x51ZZpkrNbfm3hsXIIh7jxy5UUT2FGSDIAiaC0UUF4iCOFCW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"]]}, {
RGBColor[0.6, 0.24, 0.4428931686004542],
LineBox[CompressedData["
1:eJxUnXd8z9f3x201ahQ1SmvVbO0QI2TYe9VeMSJk770TicRKbIJIiCAiMogM
Qqv2rFJFa3xrU61qVY1f+nk93+nj5x+Pd97ve+45r/M65573fd97P81mu4yd
V65MmTKWNcqU+fd/u3//OdtZlvn3X6h1sUXVqymuXv9dT1t+9GWbwP+uA+pm
DLodbmc5+LZ/3Yxo6+KxeZ9GPV5sZ1nSqqSpTbHbvwJW2FmanttgWWx6bq2d
pUlOn0HFpv4221n+e9s/h/6221n++9ggq0HqL93O8rOox2Py3tmovyw7y69f
tpm23Jr+DtpZtv33wRPW6q+Y6xgr9XccfWdZqb9zdpZPxpQ0dBhQ/K/YT79H
n8Y26u8G+lzGvjt2ln+2+fdOP/X30M7SpOd0K/X3HP2CrYv/bT7tLzvLrqZ/
/dTfO6M/a/VXcb6l6e+VLNVf9fmWZ8+U/Eunv4/mW5qei7Is3rC+5F/D+Zam
/yfTX9P5liY9frNUf62N+32K/1W7bof50n98H/Vnhrx5lsXb/nVLb0N+T/Vn
PV/+aUR/Q7hf0bL4327GjEb+tb7qb+J82fPYSv3NwJ5vrdTfPOT5W6k/B+63
sio2+c0d+b/Qnx/3U+kvdL78lWSl/qLBx9Fa/S1Dn/V9ik1/X4W9q/qpv43z
5c8bfdRf8nz5o45lsYlXO+dbmnDs1Ev9ZYJnfM9iE28PzJc/PwXPQ8Z9S/X3
Dfqc6VdswuE0/SXaqL9L8y1Netfsq/6uzbf8ly4WsX2LTXbd4v4oG/V338C7
X7GJZ0+xp66V+vsDfOxs1N8/9F+9b7FJbjl7S5PdX2NfFXtLU/NnFuqvlj38
tyw22fWxPXy1VH9N7OGzdbGp35b2liZcXlmpv/b20m+AlfrrQvsZfYpNcWZO
f8ss1Z+lveL/Lyv1N9Ae/vdTfI+wV77YYan+xtsL333WxSY/TbWHD8S3LfJH
Wqo/e3v4Sny7GPpaK9680W9zb/UXZK/49eqneIsErzkW6i8OeT9aqr94e/xH
PllnL7640t8W2ttYqr9U8ImyEP/3oI8v8Z2DvdH9FW/5tL/bR/w/gv21LdXf
CUN/C/H/PPptIN6uIL+Bjfq7aa98aUt83zXw6C0+PrJXPkwj3n7DP/WJt1fo
d5z4fm+vePGwVH+VFsj+zN7iY/UF8JF4q7NA+Tic+G60QP7ebSU+Nlsgfr3t
o/7aLBAfy1iJ/x25vwk+mi2QPc1s1F8fnr9lKT7aLCiNTxMfh9LfY+JtDPq1
6i0+TloAXvBxxgLFY9W+6m/eAuE/xkJ8dFyAP/uJHx7GfeLNf0HpeGbCNXRB
aT6Vn9HvHfG2DHvCLMXH1QuE/0Qr8SPR0Ac+pnD/ah/xcecC+NhP/MhcUMo/
U38HFsi/HzC+HTLw6S9+HDPw6Kv+zuDP0Vbi4yXwt4Af15D3wEL+urWA/AY/
7mPvdvjxDP83tyZfcV0OfvyD/Cbwo9zC0vhTvloofI5Yqb9aC9U+2VL8qL9Q
8WtmRb5aiP7k45Y8Xw5+tDeehx9dFlIf2Ki/nv/1r3yFvE49yFcLlW+ce6u/
EQvxRz/yldGfFflqoewLsiJfLWS8MvLVQsVX5d7kK+5X702+WljKb8lBvxTy
RyT4bLWQv2IXUp8Y+Wqh/DONemsd+oX3k7+2LCyNf5Ndqdi7wpJ8tZD8TP7I
Xqj4X2kpf+Ub/VuRr7jfFX+dWCg+HLOQv84jrxr9XTHk95W/bmDfXQv56y74
WfSTvx6Bf0Y/+es3+r/dT/56hT98iK93C4kfxs+KDozXxHN1B8arvvJXHQfF
0/newq+hA/J7yV9NHagXbOSv1g7kl57yVwcH6kUr+cuM60Dq4z4O5P8+1Ff0
Nwr8hvD8jb7y12gH8eEJ9c5EB/nvKPjNQB+P3tRXDsSnNfUV8l36U1/RfwPq
AT8H6g+jvnIorV9MsEUb8sBvqQN8Znxe5aB8l99b/troUDpemOQmO5TGk3jm
8P/9lekAP6zlr/3o96qv8CtyID8xPn+D/dYD5K/TyNuKvy46wP8+wu8HrutS
f//8n/4mufccSushkx5PHcgPfYXfC+ypTP392kHxaGkuf5V1pL9+wu8DR9qT
n2o6Cv/l+OtjR/AkPzV2FH5TyE8tHMnPvYVfO0fehxgvOzuCTy/hZ+5YWn+b
2vXler2F8BvgCD/IT8Npv85S+I1zLK3XTPhNdpQ/Pud9YpZjaT414TCf+xUt
hJ+zo/xzD/y8HEvHRxN+AdxvBd/DDX2pbxaDR5u+wm8F+jWwFn5rHakXegu/
zchLJV9sA7986u3djuQL8nuWY2n+NOF30BG+w79ix9LxwYTDt+iT1l34nXUU
P2rA98uOpfWNCb/rjoy35Pfbjso/a4nfB4Z95NtfuT8R/P50JB8xHr+lvw7m
wq+8E/mkr+K3KtfT+gq/2k7EE/VTAyfe94jfz4xr6pnPaZ9IvfaFE3zqKfy6
OsFfc+HXy4n3ZcYrS5737Ss+DEL+NQvhN9KJet9G+H2FvO8Zr6Y5KZ4GWYoP
s52IRwvht8CJ8RT8XJ3E32zeZ33or6GN+BBMf8+Ip0gn8g38i3OSv4d2F34J
TvL3bPiw3gl/8v6VhL1tegu/HTwfzni/h/tpVuJDDvp17SY+FPD8Uew5gv1e
5L8T2L+D94Xz9F+J+uyKE/U+7+c3nUrfNzQu4r8bvJ8/Mvzbk/rd8Afj7yvw
taCefu9U+j6t8dCZ+hX8qjvDPzPxoY5z6fu5SUwjZ/xnjIfOpf7SeOgsfOzh
Qweu2zB/Y+Zc+j6gvOZcGn8aD51L9dN46Mz7O/l8tDPzS7z/THQurU80HqK/
M/bMdRYfInhfdXBmvKB+cXeGH9QTfs7Cq4j3g1DsjSY/LHKWv1/wvrrUuXQ+
R3oa8vqIDxudGU/NxYetzqX1n8meNGfl1+fYs9dZ+finHrJnv4FPX/GhiPbD
LcSHr51L319Mz51yFj/eMF5cBP8HVrLnB+y/Db9/dv7//P7FuTRfmOx5YvTf
S/a8AO/HjBd/4/+1+KeMC/ctxIfKLuDJfFcNF/jRT/bUc2G86il7PnGBT7yf
NndR/NSzFh/auoA37x+dXOAr+a6HC3hbyB4L2ufin/7G89Tnw1yYD7MQv8f+
d23Sc5ILfOP9baZL6XirvIE+Lxj/nFzIz+QfDxfev5lv8kf+5V6yJwx71/aQ
PTEu1GvUD8tdGB96yZ7VLuLXqd6yJ9GF+Rfj/dCl9P3E9Nwu2l/sIXsy0adZ
H94PXUrHK70fupT6U3WZSylfTPac/g9/vR+6MP7hn2su8Kkn74cupfWU5rPA
r2Ef5rMMf8G3Pwz8qE/+cWF8h/9lXeFHTz1fwVX8n8R8YmVX3p9oX82VepF4
r+FKfdpN/K3tSn3UU/FSzxX/Mz42cGU+gvGrsSvzl92VTz7j+VXkr+aupfOr
JvxbuTI/1A3+Gv31lT++cKU+xJ+daF+X962u9JffU/b0wL4zjGe9XIlX3vcs
XEvrec2Tu5bWTyY9+mN/NPXjYMOePrJnmCv1hrnsGelKPsaesUZ/1L9fcX2t
N/Fi6Ndb/p+GvdmMDzPB05L51Dnoe6qX7LHDn6+YT18APjXNZY+TK/WCOfWB
K/HRTfZ4/qeP6gVX6oPeyt/+Bh+6Uz8gvyPv12Hwa62Z7Il0ZbynPo1xLY03
kz1x4OvQi3hFn4vdFE8J4D2I+mu1wY+e4vN6o70Rz66l9Z7J/1tcS/OlSc8U
V+KXej/V8C/z0btcS/OzyZ492HsUPme6lr5/av7RtXQ8N7U74Mr7RzfmI/Hn
8B7y/yFDH3PZcwQ8oox8Yfirj+w5YfClB/nD4LO5+Hwee8oyfl0y+E/99L3h
zx7Mlxv6m8n/N+i/Yifmz7lvbia87hJ/nbrInntcZ8LnR4Z98PkpfMmAz88N
e8hnf8C/t8zX/OVamk9N/v/HaG/O9x2DPz2EV1k34r8733vceP83E14fuJXW
wya8qrkxfmFPTTfFT3F3+f8jN+KXeuFjN8ZTc/m/oSG/F++bbowPFvJ/Uzf8
if9bGPLNhFcrN/Il7wPt0Mesq/D60rCnm/DqRH81if9u2GPRS3j1cKOeoF7u
zXV4D/m/rxv+6S7/W6Hfg+7y/wD0f9ZD/h/sxvuMufw/3I33q57Ca5TRXz/h
NdaN91XwmuAGf3oJr8kGXubCa5qb+JTH/Ogsrl+RL+cYeHYXXnbIt2P8XWjg
y/uaE/pd7SH/u3Fdv5v87+lG/qAe8jHw7yS8AsD7hZnwCgbft12EV5jRvqvw
inLj/R68Yrg/pqvwWoJ+bboIr+XYZ079noA9rciXa+ivqKfwWu9WWr+b8Ep0
o17oKbyS3Mh3XYVXiqEfeKViX2Uz6pX/+GTCa4+BN/GYiby64JXjVvq+b8Lr
gFvpfKrex4zrrsLrEPz1as/7GfyZ1ll4HUN/21Z8bzH4DF5nDHvA6zz+79BL
eF0y9OvK/CbxZMl8wjU35ef2nZnvdON9tYvwukV/53kfv0s8N+xM/qK9Qxfy
F/gf7UL+MvT5gvxl+M/IX/SX0oH8ZcSPGfmL+HvehfyFv+I7k7/cS/mpuOG6
NuPXB+7ohz+quZNfu8ofNd0Z7zvLHx+5g2dn+aOeO/O/+KOhO/VRe/mjsbvy
Xa8u8kdT99J8ZHquhTv1Rlf5o5WhT0v5o507+biT/PGlO/FrJn90or/zXeWP
bu7wo4v80cOdepDxpJc7+HeQP/rSf9d28oeVO3h+Ln/0p/82neSPweCzpJP8
MQx7XraWP0a5k086yh9jsd+/rfzxFXi16Cp/TAbPuq3lj2mGfq3kj5nYN6qL
/DEHf8S2ov5ypx5oRf3F9fHW1F/g+bgR9Zfhn5bUX9hzpiP1l9H/59Rfhvxm
1F+Gv1pQf7kzfrVgPsedfNlI/ogx9G0rf8T9J9+EyzJ38nlb+SPB8F8t+WO1
gefrwyY/rOP6Xkv5I9GdfPIp33Pxn2tj+SPF8G8dvu8a+jSTP3ZyXbUF30+M
9h/JL5nGdQO+pxh41pE/Dhj9V5Vd+fAzo6zirMjwfyW+ixl4/++wSe43Bj+b
6P8Thv1t5KfTxnUDjQvnDL41Uj+XjHhtKT2+B99yXfX3Hwx9OzMPZfCto/7+
M/kgvrf0vONOvdZTuNyjv68s5eeH7qzn6a+4eEJ7t4GS/5z7R4ZI/gvwfzFM
8v9En2EjJP+1O99XR0v+W/BsMlbyy3hI7pPx0quCh/T/3wTGCQ/559Yk8a6a
h+ScnCye1PAQjoenyY7aHtI3bLp4V88D/GZIbgMP9JmpOP2E/qfZyo7PPNTP
/Dl8J/WQXeXmSe7n3D/Auqe2HpbGugqTnl/Q/zW+g3fCnnS+O3Tl/mTmcbrT
PpN5gZ7od4861oL+NzMOWHpI7ivGsf4eeq4JOAwCn7PIGeohO2d6si4Def6e
8sMY8N3mJZzGe8h/W7yFyyQP6fmtj/4+FTwD/SRnBvYVBsjfs9HnYZD0mIe9
TULVzh75tmGS74j9jcP1dxf0Phou+e60d4iQfG8P6f0+QvL9POBNlOQEou/g
KP091EM86bBIfIrg/qfR8mM0/feP0XOx+HdnjPi0FH2rxYpP8cj7drHkr0Le
hDjJXws+I5dIzkbwebZE7TbDt4+WSf5W7Bu0jO/0HrLz1nK1S0Ofxivkx934
f98K8XWvh/zqv0J6ZHlITuoKyc3l+Xrx+vtBeNIjHr8Z/o6X/MPoH5Mg+V9z
f+pKeOAhO0etkvyTHnruzSr5/Sz2VVwjXl0w8FotPS7zvPka6XEV+53XyO8/
wscFa/T3m/T3cg11rIdw81mr5/6HvF7rJP8B/Lu5TvIfw6fy6/X/M/gyYb1w
+53+6q4Xr15i/9L1+v8V+EdukPw38K/XRsl/T38NEiW/nKfk10iU/Eqeem5V
otpV8RSe6YnMi3lKrk2icKvlKV6fS9RzdTwl90yi4uFjT9l7BvmNuH8N+U08
hc9J5Df1FL9tkd+S64nIb41+fZDfzlP2LEkUDzt4Cv8PN0mvzp567vtNkt/N
U/jU3iL55p4mvzm0TZL83p4m/9+bmKR2fbH/ZpLkW5OHamyV/AGe4uHWrdJz
sKf883SrcB0OPjOSJWeUp4mXNculSP5YT+k1YJvkTxC+oVe2Me8BfhVSJX8a
9r1JlfxZnoqTP1L19znI37VD8u1kv23iDslfqLy6akKa5DsJzxs+aZLvir2u
aZLvKXwel0uTfB/u900TjgG6rngJ+cHcH4H8MPT5GvmRwqNh852SHwOfFu+U
/Dj587jtLslfLryfT9qtuEwQH7wqpUv+avzXJl3y18GPZumSn+hp8nPawHTJ
36LrNl+kS34K+O9Ffiryh+yW/J3gc26X5Kej3/zdkp+Jfxx3S362rrP37Wbc
lb86jEF+PnypuFu8L4If4bslv9hTeW4u8r+Bj+2Rfxx7X4HPafE5dhDyz8Hv
+F2Sf5Hr8si/jL3OuyT/B+J/6y7Jvw5eFuj/M8/3Qf4d7PsafH6Rvq9zkP8A
PvyF/k/g8x30/xX+5iP/BfmgAvL/hK/VkP839vuC/xtP8awN+pfxEj8j4E95
L/mv407Jr+yl5/5Ok/yqXuJH+52S/6GX4sd1p+TX8oLH8LMu7e2RX1/tb9QE
/0+8xOdNu9TuU9rf3yX5zSR/c3fwaSl5FyvDzzZesu8b8Gnvpfxhla747UD7
P9Mltwv2Nt0j+WZeio+Te6jrvOSftRmS38dL/umcobjs5yV8szIk35rrhRmS
P9BL42ZYhuQP8VK7ZhmSP1z9Ozzdozga7SWend+j58apP/8HeyR/Av2nIX+K
l/LPfuRPp7/jGeLZLOlzu81eyZ/L9Xv0n6/2dWP26u8L8c+WvZLvjPxue5Wn
3aSfdZO9ku8JvlfQ31f91xyP/gGqK4evAf9g+bOohK+mfsO9qLd2S34U8mal
U4fofuwv6ZK/RHx8uWwP77lepvif+HqPeJ/gpXizz5D8NV6mv5s/3CP56yW/
xUDwSfQST1plKG8mIe9shuSnyP9df8mQ/FTwytyr/3fhvyN7NW7uAf+ae5k3
hY/L90p+jpf+90D+AfV3NTKD90vwj87g/RI+9UX+Eeyrjvxv8Mdp9D9Bfwcy
pPdp4mcS8s/pvl015F/E3lsZkv89eDvuFe9+AK9ymdLzOvkgNFPyf/ZSu3L7
JP+O7Astudb3a+n74K9M5YWH4kP1PzIl/4n8k3cA+b/K/visTPKZ4tH1WSb5
TP2bpWZK/t/KF+unIf8t+LfPJJ95m54Lb5lJPvM22b27JvIreyt/HN1LPvM2
+SWxcSb5zFt6ZmeSz7xN/mj2BPl1vU1yTs3cRz7zFl5u+1j37q18lr+PfOYt
/V/vI595m+Lk2LN95DO1n9MlS3xvo/57NclinlLyJlfJIp+h/5194mMXbxOe
r07uE25mkj8geZ/4bq7n41vsYx2b5L8u8Y+Jj/1kz9ABmfKLtfA7+hN8H+gt
fh3OkPwh3oxPe8TH4d6K/zl7xMfR3uJHNeJ1nDf1WzrvTcL7xozdvBfT3/Fd
ajfdW3612UVe4DpyJ/O08ufjvTvFx/neytcHd0n+Qm/xsWR8MD3n5K383nKP
5LjJHrvHGfKzJ/h8CB99uD8XvgTI/1tt4WOw9J+2Ej6Gob8bfIkUvvnd4EuM
9CkzYy/1Gfwpg/zl4DOT/JvgLb8N3Et9xvUxxo91XJclvyd6m+Q6l88sfY83
xbd3pviSDF65mZKfij9fZcqfO2X/mPLwJV3yMirCl0zZV672Ptmdrfat3sGX
/eJvijN8zEf+1n3yZxHPX96n54rlzxln9gmXb8TfvLf75M/jwic2nfxyivvv
98mOs96yY1WW5F/k+TtZrOsgXu5ny59XhX+xW47kX/eWnuk58udP8KNirvx4
m/7K5bIPCvv35QinB8TntznC6bH40Lhyrvz5q/SpejlHev4ufnqk5cifL8Wn
28tz5M9Xwu/upzmsG4LPH+fIn+/h45ps5qV8THZH22fzvumj+uZtNu+bPrL3
aDbvmz7q51628K7FvI5NjvxZx0f5a2+O7P7YR3I+yhXeDbmOzGHeCXkuOfJn
Ux+Nt71ymAeX/AFfgXdr7gdny5/tpH/lXdnC+0sf4VQuR3h39tHfS/Aw+bOb
j/hcBrx7+Jj+f+aVLZx7+5jsXFIlWzj19VF+a5clvK18NB49JN/295E/du+T
Pwf7CIdv9jGP6aP8Opl8PlLPvzhO/Iz1kdwfqY++Eh5eG6iPJsm+QROIz2my
P89tr/qZCZ4PqS9mS37XZYzP87hezPi8wEf1QG6G8HaUPWlj9gpvFx8Truer
MD574N+S8dGEt7eP6rkyjM9+yL/C+Bnko/j5h/E5lOuujG8RwvfM7H3Mn9Hf
sn3Mn4l/P3UG76XgOzVLeK+QP/zLZAuPVfJ30Pls6blW/l37Cn5v8JHcEv6Y
+L1Z9t9elyPctsL/cTnSaxt4vILfafhrY7bw3i37L1eGfxnCP3NhFvvawKM1
+SRX9lZfu09654kP8Zv2Ce8C4usX8tVhxU9KjSzpfRQ8OmQJ72PweQ54nFD/
nZpmiX9nZO89myzhfR58UuHfJeKnHvXEFfHfeQ35+xr3A+DfDfz1mPr8Fnwr
x3h8l/h12M28s+wJLXnf1f5Z+PpnmvB4yrV7Gt/RhP/xqWnC44WP6uHHO4TH
X/DtyQ7h8Zr4+C1NOLwlfn7eJf6V9ZWcCrzPVfBVPk7ew/cAX/X/F+9bVX1V
f2xkvKzhK7suMl7W5joJPOr6yq4txGMDX9XPXxGPn/jKzuy9rLvxVT5pkCn+
NffVeNIqU899zvONMoVHG+k/MZz6oT36BxOPHdV/+1bEYxdfk521K1I/mPH8
AOKxp6/4EE390MdXeI6knu3nK341Y3y3Br+u5KeBvqovUqlnhyCvJL71XcRX
9ehWxvfRvtKzhK+q1yR/c48s4TGB/kvyq+o17FmYTb3G8wOzqdeE1/p2jAdz
hGf1zowH831VHzkx/i6UPwdczxEeTuDRLZf5NOT/L5f5NOwNzmU+zVf1Z0IO
3zl8ZdcQxt9g+Tt8BuNjmOR9mpAlPCLlz+OVqEdipO+Zl/AjzlfjY/Zu+W+Z
9Pd32cl3Nvnz4gLiZbWv3ncf7tBz63yVvzcTLxvhc1nmP7bAV/t04ZHsq/mu
tbzfb1f/d+2pL9P0fOOr+C9d/vTy4H1hr/z54gX+y0K/K9QL+8WP2L/B46Dw
zqyO/wrxR5ss4VEsfJd3Jt99rf5vPOL98lvsHZPOPDT6X9wtnM/Cr/8xn3UB
/x5iPvE78avuIuYjrhAfn5PvfsRf4VnS96bw75VIfXOLfPA39dP/8Ofk/cL1
vvD2fbFfeDySPecb5Ml/T8XXhh558t9v8v/w5Qflvz+Eb+7kg/LfX8RPyEH5
7x/ZH3T9oPz3DnnB+fJfWT/93T9f/qvgp/5D8qXvB37CLzef705++vuOfOlb
w486MF84feQn/1UokL71/OT/coXyXwPkORTwvVP9jbpSwPdOP/HjVYH0au6n
fk4VyH+f+wmXdQWsk/CTn9oUyH9foN9nBdKrI/ol5ct/Xbj2Q9/ufnq/vZ0v
//X0k1/aFUjfPn6y49MC8c3ST+8Hm/Olr43seVuCl4lvA2X/UK986TsE/VMP
iicj/NTvN/nSd7Sf+P/9Qdkxzk/9hKHvBOlzI/4g82v4yxx9p/vxfpjP/Jq+
gzZ7flBy5vrp7wsPyq750se3wkHeR9Vf8d6DvI/yHXUS+rqB7yL45om/LPLJ
b37i0zH4FiD/db2GvsHSr7YdfAuDX+MKyG/wZVih/BYjfau3LSS/+cnO3wqE
4zLhHVS5gPwmPFptgW+raf8in/zmp3p7JvpupH1f9N0iPjksQd9k2etcDX23
w48XB6VvmvTpZEd8pMv+yR8USN+94tex5oXkN/h2FH1zhf8r80LpexD/HS/k
+6f0H16jiO+fxM/BQun7tfCr+XMh3zHh09ZC1iGovwEjCln3If409gLfC8i3
Bt/vZG+H1uh7BfkXC1k3oP5zG6PvTcWXfSf0vaX2z/4uZF2W8Pafjb734U8d
9H0E/+qg71PxzTYFfZ/Ln/f8C6TvH+BTr0j6/uWnesYCfV8Tnxno+1b+yQxC
37L+ysfh6FvBX7yvVET95i+eN0bfav7qr6CA+k3Xtcugb21/1Rf58Leuv+L9
Jvo28Nf/veDDJ/7CpSX8/dTfJOdaJfjQjPYfFbCvUs+v/Q3+tqH/p+SH9tJ/
1NB86duRaxv07eKv58LID2b+Gn96kR/M/cXnxfnKD33U30R38kM/f+WtsgWs
g0fennzpOwA8O6PvEPV//otCvoeqvfVnhXyXFx72r8hnY/31fn0MfSfQ34RC
6TsZf5Qj/07zV7zdRt9Z/qr3FpN/5/hrvLhOPrOT/EHJByV3gexN+SNPcp2E
//puB6WvK3ywOKg49fAX/zIOSl9vf8Xf5TzWNQgP56EHWYftr/hyPKh+QrFn
DONxhOz56Wme9I0WHmmujMex0u/uR+i7VHw4FX2Q91P8X5Kv9X4q+eHr8ng/
Rf/9eeLXBsl/sJH6YZO//H6S+mEr8iLyxK9tuj/cO0/67gCvSnni127Z++zp
Afkrw1/xWytPOO7T/Q6LD6ifHPEtKvOA9M2D770OiF8FxNeOA9L7kL/Jr5ZN
0PeI/He8+gH2fSPvswPy1wn5v278fvHrNPi23S9/ndP1jNn7pe8l4vV+LuvV
/DVej8uVnT9wv1+O+HVD/n5pmc33BPmj6je8P9+R/mOW8/78i/BbksL8zQP4
35z35yeS/3gW9e+v0v+yQ7b89Tvx1Yj5hD/Vv1n5/fLX3/A9fb/89UZ8S5x9
QP56T/4IPMB34AD5qyf+qhQgPEv8YfJXlQA9fwF/VQ+QnUPymH8LkJ8a5TH/
FiB82+TJXx/r/o2S/kz2NwzQeDcLfzUJED/z98v+pgHSe9MB2dmC/kr8q/0D
AeL/mQOyv12A/OFxQP76kuuSelj7NNR/Yhn42jVA9UvLg5LbI4B52Tz5q5fs
PeV3UPZbBAjfE8SXpfR5UYHxvL/wc26cz/o1ta/6x0HWr0nfFq3JhyPo7xvq
pTEByt9u1EvjhU9Fo76bKDx6dSG/TJF9Dr558tcMyU/5Hfttuf/wgP4+N0Dj
W85++cte69zeluBvst9B/o6OPSD7naVfzXF5fAcIEM4r82S/Z4DyXd08vpfi
n0aMBwHg1Yf8EgxeKcRrWIB4ZIb9UbK//mvyS4zuL7HC/jjZs7sp9i+Db2Xz
+b5A+2GMX6vB9xH5dZ3wy5/OeJAo+4N+YTzYAj938v6QHKD62seo5wKUH214
f0jDniNGPSc8Ug/g/73iQ0Y1xu8s+TOqP/7PJd7W5LOeDX06FpSuQzT9PaJA
cg4LT689jIdHA/T9Jr5AfvlW+qWNLZD9J/H/jXzZfyaA+p/3p/Oyt7Ef9n+H
/JLx0vTcFfl7/CP4f03xYlmXevYG/NjD+HIL/ifj/7v452vG13vCK3sM9j9E
nw3Y/1T+u3qD95vnxHcQ72MvAjQehBWwPlfxFetQKPtfS7/Q8tRvb9GvDu+P
ZQLVvi/1ZvlAjScl9aK+nwYqX0ZQX1QNlD39Cvh+Gii9v6R+qxXI+ize7+oG
ig95vI/WD1Q+60U91Ejynl3ifbRJIPPRheJT00DVVzWLWN8WqHZliljfFqj5
osXUr+0C5f/11K9fSp8lnxTyvYHns6lfu2GvD/VVj0DJbVPIvge1H/4jfOor
/ctVhk9WgczDUV/11/PVs/OF56BA6dWQ+nKY9B+VTL0yMpB8Ap/GBPJdm/py
vPT99HvePydxfwzxNFX3Z3zC+/KMQNV3XXhfttX18/3MR8yVvxt+T71mj75v
qNcchP/QeuRn50CNdz/xPusme14dOig+eQUq/xZRX/sGajx5RX4KCFT+Hkt8
Buv+je/IT+GBwqEd+SkKPIcRnzHS59RN8IxTf68bg+dy7PmA+ExQfxMLyE+r
AxW/XcFzHXw3N/Kd+Jl9mfjcIv8PeM34nCx+dnhBPbld8XDZjfEuDf92IN7T
A5Vv1oDnXvjvC55Zipf228j3udhfh3x/EHk/5sk/hbr2HQOeh2k/gXx/lOdn
HyTf4f9w6tOTsj83jfHzDPrEUk+fF5757Xh//072Ztzn/f0K/l9GfX4NPk1m
/LghvI6NhZ+3pJ/DQOqHu1xb4p97xGc9+P6QeIslfz6Rv6tag+dz+OiHf14I
3zabyJ9/4t8DjMd/6779LPzzRvdf1obvZYL0vtQW/5QPkl3JjMeVdD86GP9U
CZLcEbzvfBgkeevxT60g8Tk3j/fyIOWrpDzW8wbxPQr/NApS/Lcjfproevl8
xvem0qeTE/VYiyDNxxTw/tBa/SXmUY+2C9L43i+P+i5IegUY9V2Q8kMjo74L
0ng6ifenHrInd6BR3wWJv/G8j1jInrvT8+QfS/RZh7/7Y+9p5A3SdYttxM9Q
9f9TXeJnBPo7Ui+NBo9vqJfGBym/xODvidLXwgd/T1H/duuRNz1I/PgZ/9hK
/zbT8c9cyTMfir/nB2m83oG/FwaJv+bGfF0QedWYrwtSfvwJ/3jClxfEow/+
W0M8+geJ75OZDw3GnyX1j8nfYeLD+CXUM5FByi91qGeita9i8vfIiwXv7oy/
y4KUr+ow/sRjz0Xy5Sr5/+JK8uVa8WPtLfLlRvh6Fnmbpf/5GeTfreL/IE/m
j7bBl7eM52nC0zeC8Xy35E9sQn2YAT6xzO/sk/73BlIf5AQp/n2Rl4f9c5BX
EKR8VKOQ91nZFzqH+uCI7H/xkHrzG/mv4hTmi06A9zTmi07LH7vPIu+c9Ek1
L2S9L/FRl3rjsp5/vIz5vR+k7+3r1BvX4UMu9cZPxMekIrW7jf7hRawnCWK+
n/mcB+D7GHmPpe9zj0PsX4DfHZD3m/DJuIC8l+Sn+ofYpwverQ/puX+Ir6GH
pPe7IOqwQ+JjuWD5q90h6VExWO97NofExw+CTXqs+6SYOj1YfDmOvBpqX3/X
Yb5PBIs/MUV8nwjWc2mH2Y8VrHiIPSx5nwTrfeuHw+LjZ8HK31mHxMfmwWqX
elh2fR4s/pcr5vur7r92O8T312DVp68OMX8XrPG95WHm74JV75VDnpnsaTzn
sOSZByueGh2WvN48XxH9+mHvLORZq7/xww+zn0H2PH9xSPweLHt3Xz0s3IdL
315Rh8TvUcHKVy+K5Oexwtv8XJHkfQXe9sTfpGDx+xHxMg18JxMvM4P1vmpD
/M2m/y+oz+epfdQJxlf7YNXvnyDPkeevI89F+K3fjzx3tT/2G/HsxX2fIsnz
lbwOzajPA/Fvz0OKvxDpu3XXIc4dCNZzDQ8p/qIkf8DGQ5x7Jn+nPkbeEtq3
R97yYL6PIC8B/V4jb7XwfBV8mPVzsm9Y7WLWz+HvyMPUe/jv+WHqPd0fF1JM
vYe8nshL0/Odth+m3pM/27Ut5v02mLoH/bKwNxv9coXXs1+LJC8PfpghrxC+
zcbew5If2wV5RyXPPhx5x4L1/uIIfieCVd9EHpK8M8R3eew9j3+2kG8u6dr1
+SHlm+/1vKXFYeWba/j3MPnmBvzddJj9p8L38bnDkneHfJB9WH//hXiNRN5D
+TOsejHzebr/Y/di5vPg90Xk/Q4e1sh7qfjLqV8seX9j/4bDkveGfPAp+r0X
n+xeIK9ciMavdORVDFGcd0e/KiGsX0Ze9RDli6PIqxki+TnI+yhEeeEm8uqF
iJ+zkdcwRHh+B36Ndf/as0PMw4aIj0+LJK95iOqv4/jj8xDy8CHJa6vnXwxA
3hchqreckNcxRO/XS/BvF9k39B3jiRn2+COvZ4j4dxJ5fUL0fpHG+NRP/T+r
D/+suV8y3pn4N0B45hXC58HY24D4HS57HnzL97FR0vfuA8bjsSH6vvoj4/FX
IfKnA+PxpBD534/xeJr0zXdD3kzZcyMcebN1//UD5M3T/cTx6Gcfovftzujn
iL4+fA9z0XWZcUWS567+1/bGXq8Qzd8VoJ+v7LPfhX6BsmfrGPQLET+KUtAv
XP6IPYJ+USHKd2eQFyP+naln5D/wuYq85eAzCv0SQuTHXei3Gv69xN51sn/a
ziLed7k+U8T8HvL/YDxKxt8VDzG/B9/OkO/T0HcS8tKlT20n5O0VXlfdkJcl
PpZrz/iWK768usb4lgd/fyiUvEL8+79C1tuBx22+dx4Fz5WMR8fA/w3yToSw
vgr9zoSoLinhsynOzxMf84r4nhGi8WdtEd8z8N+MIr5nEI+j+H58XfJdXZH3
s/Bo1QN5d8SPlx7I+4X80hl5D7C/L/Iekz8ikPer/Lf+FvJ+F/4eOdRXL+Ff
Veq1V+Srz436T/642NKo/8T3UdWoj8qGanxwRJ9yoeKLN/1VCBUfitGvYqji
OwV7KoeqXm6KvlVClQ+jkFc1VPjWgb/VQ1l/AD8/DNV40oZ4qxnKPBx8rRWq
fs8RLx+F6v2jNvLqhiqfvCF+6qH/WuTVD1V+moy8BurPeTbx0gj7Dxepfm0c
ynwV36+bhKoeTQPvz0L1flu2SHg2lb75r3h/ay79LM4zP9gyVDj9zfqIz0N5
j+T9r7XsWxvBfFSbUOXdOOZH2gmv4duZn/pC+g6qTT33Zaj4UJ56raP0a9GN
96tO4PsWeV3kn7pGvdcN/QKYPzZT/xfX8v25h/BzmMf7jTn6O/L+0itUfN/J
/Gpvrl8WSp4F8sfyvtIvVPVZFcY3S/QNgG/W8GshfLORPvF+8G2A+t/8O3wb
JHsuD4Fvg0PZD4K8oehTj/pomPCLvg8/RuDf/fBjpPi+9Vf4MRp9QuDbWNmT
OQv+jgsVjhuR95Wef1UVfkwIVf1TqUj8mCS+9OoL36YQH5vg21T4Pgm+TQ8l
7yJvBniWPSR/ztL9azUOSY/Z8nfGTfLrHOybyfvGPPH7RlPeT+ykz+sC8rN9
KPt/qA8WEC81qCccaL8JfzrBBy/86az+ctfBD1f5Z7w3/HATXsUTma/wUH/W
Vfi+4AW+j5i/8IYfLswP+yq+ig4zn+EnvH3vMF8RIHnlOjEfECh5z3vzfSEY
fzxhfiBU8lOakz/C8GdrxtcI5N1k/j8SfXfxvWAR/rzD95UY8tEPfD9YDF4X
+N4SJ//Wz2d8WkK89Wc8W0a+Mmf8W4F/HBjf4skPMYyHK8X3rpeIz1Xie2oI
+K8hvywC/7Xy10+exOd68uVVvodshE9hfA9KJB4WFjI/JPxGJfB9bAt8uYs/
txIvbfFnCnje43vENvw7nu+Bqdi/ke8TO8hX7nzP2In/N/K9YBf+3sr3hXTd
v5vB/FoG8XeUfLuX/HiXfLsPfaLIt1nkw93kxxz4e5F8u1/5Kuo83w8OkP9f
G98jdb+i8f0yn/jsxHrJQuG1fDjrkYqIl47gdRj/fcd83BHGz6Pw/6juvxgE
/78Rv+wHwf9j8o/tbeZHj8O/e8x3nyBefme+9BTj3QXm08+gf1XwOst49pD5
6PPoe5/5xwvkk9t8P7gkfk+7zPzvZfmzdi7z+d+Tr9cz/38V/0Qx//AD+a43
8/E/Uh/8yXz7dc6R+Z71ODfh2xLmv38O1fvMIua3b8HnkXzvv6P+zJ+znuOu
7k++yHqZX4ivPsw/34Mfl1g/84Dxpwzz0Y8YP4Ywv/9Y8XZvPN9XnsJvM+b7
n4HfOOaLn0t+qBnrQX7n/jTm119Qb3Vk/vwl+D09wL4Mtbd8y3qdV/Dr3gHh
9Tf8PX9AeP2D/D7g9Vb5ZfeH4PVO/mtsBl5lOKenMd9Pyoap3yqsVykfpveB
BuBVIUz+/pD5/UphGm/Psd7kgzDlv/OsT6kSJn/eOcA+Ucn3XWmsl9G1+Q+s
r6gRJn7vPiC8aoUJ31Tsqx0mu31YH1MnTHgVgFfdMNlZG7w+DlM+XAIf6oeJ
/61ZD9IwTPVlO9b7fBImv5SBD43DZHfqfuH0qeRNvL1feH0WpvpjO+uLmgnP
B5msn2qOveUPiA8tZV+z46w3aQWej/er39Zqn1Yi38SHturf7BLr2dvJ/vbF
rAf6Ikz8fLCf793q71XifuYDpO/Vkuf1HoL+EfuFUxfkxbK+q1uY9LLEPrMw
xdtE1tf34Hmr/ZyfIDyPDWA9Va8w1sPuFx/64B9z1pdZ4M8p2NcPfwTs5/tS
GPsVcsUHa90fMAr7bLi+nyv7BoSpHnzP/s1BYfLbRdajDcb/GbnUh/R/j/2f
w8Dvei71oeSNP81+lJGSV/NYruwbTbx8myv7xio+Opxmf8o4+XPMo1zZ9xV8
OJ8r+ybgjwLsmyT+eOxl/+XkMNUXP2LfVMWX3XLsmw5/YrFvRhjvF9g3S/e3
dsM+zuF6UB375sje4x9g31z8XQH77PB3Euvn7PX8oBz2Yy4QH3OT2N/jIHsv
HmB/niPxsoH9Ps6y53VCjuxz0fPxSex3dQuD5znipwf9ObLf1FP5pPHv2ZwP
hn+es5/UR/4ZlcH+Pz/dr3uR/YX+si/0SLbsC5T/n29if0ww+S0/W/EXovar
zrJeMSyM87rYfxIOXtey5edI+NQC+6LAowr7F6NlT+Vf2L+6mP7+Yv9NLP6+
wX7JJYqfJfexbyl4R7P/ajn54VvsW0G+jsC+hDDqZfZHrgpj3Rf2rUb/2Gzx
Zi18ymD95Dpd387Gvg34z4n91RuJv43sJ9pE/IVly++bkRfJ/ssk+ef8IPBO
pv/Z2eJTiuTnu2DfdvLHl+CdSnwNYb9vGv21ZX/aTuKzOvtLdxPvp7Jk3x7x
+dTpLOGdQfytypJfMxlvElh/ug++RLI/Lpv4usp5DDlhnBvC/vP9Gm/mZGXJ
vjzGvw3sjz3I8zez+L6JPz8G70LicRPrWw9J36qLstivAB/Xsh/qCPJ3sL/0
qPT7aVoW6yaFX/WZnC/xrcazyZ3Yb3pc+eTeaPa/nmR8GsH+uFPEW0vW554R
/hlj2T97Fj69Y//0efJFlSzpfZF8lcP+/0u6Ts1n/9plxp+d7E/+HvtiOG/g
KuO7J/thfwAfG/bn/sj4Hsb+vRvE/w7O27gJvuv2yW8/E1+H9gnvW/j3MPvN
7hDfeez3vQtfHqLPL+T7suB9D/wK0edBGOvZOQ/hEfF7C30e0/9Z9tM9lTz7
M+jzjPg9yf7059QDSzn/4DfqizTO+3gRpvdTd/ZnvxQedwM4P+FPxv/Z4P0K
/zdgf/ffjK/DOK/hH+KlPedBvGE8qsZ+73fI/y1T+rynnmuK/8uGa3ypgj7l
w8XPN+yXrRCufPi/TOlTKVzv03+wH7ZyuPSpjz5VwsGP/a5Vkf+C8ziqI+9s
pvxfI1z+3s55GDXD5YcA9tfWDtf30ZXo85GuLZLYP1s3XPljFvrUC1c+GsV5
KfXDlX9Go0+DcOGzhf3zjWTP0UD0aazr8FD24zYJlx456PNZuOqNKPRpGs77
Lfo0D+d8I/RpoXMzjx1Fn8/DxV8f9GnF80vQp43wO7MTfdrpnE3bPPRpHy5/
ZqHPl+DvwvkeHSTf8hj6dNJ1mW3sd+4s/GuvR5+uwm95HvtVuwkv5yz06S7/
mB1lf7U5/t+KPj3DlQ/c0Kc3+h1Enz7hrO9En774PwF9+sGPHPSx4jocfazV
XzlH9Okv/71IRJ+B4ewnQJ9B4u+0uugzBP81QZ+h8KUC+gwXX17/zfkMI8Sv
okD2E4/Cvsi9rHciPjZz/tJY6dP1BOfvjIdPY9jf/hX2ntwrPSbizyT2r08K
Zxxgf/wUPT8mFX2m4r8i9Jkuf1ddgD4zuD8ffWYh/zrnTc1G/hb2J8+Bf2c5
X2ce+kdzPped8PC/wvlr9uHgkq7/F0ie1y+7pY8D58C24PwwR/Btny45zuD1
Qbr0ccVfqZxn6Ia/9qZLHw/xL+N9OvUj91vvoX5UvOWN30P9KP2zp3Negh/2
WHIemz/xNXqP8k8g+WAe5x8Fi68thnIeWgjXw8AnDLwSOD8pXPlpVUvOa4gk
fkahTxR8arFH+TAa/LuiTwz5qw36xIarnm20R7jEwdf4dOmzFP6U3cN6WfAo
gz4rlC+GJ3P+WgL4PmW/9kr8tzSd/aDw2ZXz29aQb2ZxnsM6zvkdznlM68Ol
55fpGr82Kv8NGs55kpv0fMU+nBe1Gf51SFc8JJHP3dBnK8+bpctPKfB5QLr8
uo3+LrL/PFX+Nl8H/3aQ737jPLqdRnxzHuYu8PhmN/ON4ZpfesF5dhngt4vz
FveGc84R+9/3wX8PztvIwn+Td8tvOfjPhvMsc+FrA+LhAPlu5G75Ow97vzTO
wwS/9rvFv0LyTdPdwr2I/Fqf8yIPo+99ztcqhs8Fu+Tvo8RbLudffk1/EZzP
dYz4W7RLfv5W7duM2SV9ThA/iZwnchL+1tglfE+D72TOPzhLfJXh/K5z4FV9
l/C9gL9OcX7kRfLFPc7/+g77duwUvpfRty7nW14hvn/g/LCr8L/NLuFwTfHi
WmeX8P0R+zvtkh43iKd2u4TvT+hTbRfrXYiHhpxncpvrMuB7h/Yfge//8Ner
nexvgw8Pdurv97H/5k7h+4B8nLWT/b08v5nzJx7Dt6KdsuOp+H5vLud3/oq8
6TuF73P45ryT85Cx35LzPF/g33bg+5L8Ngt8/yRf/ZMmOa/ga3fw/Rt/99gp
fP8Br1tpwvcN+j7nPNF38GFbmuwsE8F7aBr1JNczOS+3fITkJnMeTQXum6VR
T0aIf5act1s5gu+EabKniu53bZYmfKtGiP/VOK+3eoRwub9D9nwYoe+ff+0Q
TjUj9P6xcQffpyM4r4bzPj7StavXDtlTN0L533qH8K1Hfyt2SO/6EXpu6A7O
b4gQP4N2yJ5GEco/o3eIL59w7bKD9eJcv0mVPZ+ifzfO32kaIfxfprIfGnze
p0rPFupvzGXOR27Juet3UsWXVsL7Rl6q5LbhflGq7Gmrc9kb+qXKnvb4Z3uq
+PJFhPxukcr50hGK3+mpsqcjz5dcm+zpHMH5e6mcJ4E9jVP1926098MeM/T3
x54e6DM+VX7vGcH8Efb04hz5dtjTJ4J15NhjwfPXt/O9OoL43M73avh0aTvf
q/Hv/u2yxwb9vbdLzgD4cWu77Bkof4fmbNdzg+nvwnbZM0T+PPNiu+wZJvxs
r2xXvyPgizX2jIRv87FnNP5tjT1j0L8X/hkXoXyZiH/GI68v/pnA88vxz8QI
5dOl+GdyhOJ7LXybAp8n4J9p2LcM/0zHvwfxz0zwvwjfZvF8firnGhBv77Bn
rq4fdyV+5uH/W9gzH30aED/22P9nquJnofxb8xD2OCDvNfY4gW/NHZzrjD5n
OB/cFftK4kPrmMDjIfZ44P+y5ANP7C3EHm/FS9GRVOHsi7/K7OCcFPHl3nbs
Cfgvfkz2BBJvh7AnOEJ57RDnlYegT0Yq85MR0nMR/g0n3wVgTyR4rMGeKPBw
TlW/0fA3lPiLAZ9u+DcW/vTHv3HqP6pGKvUl7d2Jv+XoYwFfV8hf/sPwbwL+
9oWvK4V3mxHgsZp4m4M9a8BzNHxdB58W49/1+O974m8j+bEk/nT+L/iv2C48
NpPfJmzne7byZd5k4m8r+E/aLv8mc912O/v7pV9s+Hb5N5V48touPHbA10rE
707y8cDtwmMX8V7Sn8nudOQ/3sa5EOBZazvr6eB3ZfJRJvmuF/koS/ly1d1t
wiOb8fG7bZxvJ39MrAAe+w18tqmfPPj0fJv8e5DnX20THgX4K2mb8ChEn+ht
wuMQ8XB+m3Aoxr6UbcLjCP7bvI3zVsD70DbONxa/O5zaxnwl+XE7eBw3+L5N
eJwUH49mbeMcI+LnBL8HcAa854HHWfLxMvA4j/8nbpOeF+DnOPC4hP9ywOM7
xmcX8Pge/Z3B4wryg8Djh//6N+HxI/3NBo/rEfyODHjcJB/03iZ+/ET7itsU
L7eQb83vG9wGj+wU1pkTn03B43/Eew/wuMfzf6QIj/vix+bm4PGQ8bQKeDxi
/G2yjfXZ8OV9iuLlKePF4xTh/iv+qL9N+eM59y+kCM/fyV8/pgjPF9QHv6YI
z5fk2zMpwuMv4mltivB4hT07U9jPTH4quW/C4x+eT03hfGj46JPC9274NTNF
/CoTqfGje4r0KhspvtcCz/KR7HNOEZ4VIuX/98mc/0D7H5KZv4yUPqeTmb+M
lF1rk6k3I6n/k6k39fztpcnUm5HSd0My6yEjlc+uJuu5WpG8tyVTb0Yq/pYl
U29Gyv/J/F5GvUj5e1+y8KwfyXekZOHZIFL+DE9mPyLX/snC8xPs80zmvThS
z01Nlh6fRgq3/snCs2kk39WS9fdmkdRtycKzhfB4PjhZeLYE3/rg2SpS+bQn
eLaOFB/KgWdbybv351bh2Y7+KoDnF5Hi1c2twvNL8DuxVXh2jBTf07cKz06R
fG/ZyvpI6VMUu5W6Q/23WbaV/UJcb+P3Srpj3/yt0sNc/Lm6cKv80Qs++W3l
91Hwv91W+cNC+pVpu1X+6At/Rm4VzpbwrTy/l2IFX5pv5Zxs5Nfbyn5z7H2X
JD0HRrLffKv8MQj/pyVxLgny9ycxnwmeAfxey3D4NC+J/Zr4wzVJdoyK1PhT
ct/kj9HwJzNJ/hgbKZxSkoTLOPBZkcR6Sfxxgt+LmQAegUl8D48ULruT+B4u
/zp4JckfU8W/DmuS1M80/B+fJDtmqH+viUmSO4vrgfxejS32LEuizkB+iT2m
fufC7x5J8ocd8eSQJH/Mh489k+SPBfhjeJL8sZD7I/CHI3zrkCS5TuDfCn+4
yN6a3Wjvir61ae9O/JShvUck6/+26H8v+Oi9Rf70jmSd8BbWT5KPym7hPGDw
er5Z/gwA7/f83k8g9zttkj+DI1lHkyg/hhAPXvw+Uhj8ttoof4bj/4wN0isS
/2Zv4Ps48uZv5Ps41zEb2f9Afti/kfozknOLE6k/uY7i95CW8vzKRLVfhrzu
m8SHFdg/eJP0SJA/ozw36f+V3F+9SXxYjb5Fm9jXCz4XNokP65C/mN9LWk98
HdzEekrw2LSJ9ZTEb7nNnG+Mf2JovwX/7aX9VvBPoX0y+q7ZRB5SvJ3J3iQ+
bAePc5vEhx20n7JJfEhD/yObhNOuSPlt6SbpvVv5t2ruJn7fAjz30T6D9ntp
n0l/92i/j/HBl/bZ2DccPuXQ3wr4tJ98YL1J/x9A3utE3huxr/0m4ZYP354n
sr6S/nbAxyLw30P7w+S/Y/zeVTH4fZ3I/hH8Mxk+fc34mgufjqHfMPj0Lf45
RfsTPJ9I+5PgfYz2p9FnCu3PcD80UXw8R75dmCieXYBPZvxe10X0753IeQzE
kxntLyP/n41qfwX5Ozaq/VX89XSj2l8jnz3cqL//iD++2Sgcb3D9aCPfz+lv
Ge1/Bu9o2t9C/xTa3wHPdNrfpf8pG9n/DJ9WbRRu9+ivmPYPuG5A+4fwpz/t
H6OPE+2fwNeWG8WLZ/Cj1kbZ+Sv4Hd+g9r8Z/N/AOVDwoTft/wC/jRvU/iX9
FW3gfGv8X5LPTHJfYc+kDWr/Gnz8aP8P8X5/vdq/xZ7xtH9H/q6ygfWXUfr7
L+tZfxklfMvSf/ko8aoz7StEsQ55PfVolNrdoX3lKOF5YT31KM8/4/fxqvL8
HtpXj5Idp2n/YZTseUH7mrT/lt/LqxUl/BbR/qMo6bmf9nWi9Nxy2tfDvom0
/5jriPXifQPkj6F9wyjmxWj/SRTrWNepfWOu+9P+U9pbrFfcfhbFvCPtm4Ff
U/pvHqW4aUD7lti7a53af871I35fsHWU/Fqb9m2wr3Cd2rfjdyjv0r499t2h
/ZdR0qMQ/Tugzyzad4oSXzbSvjP27aV9V/zpQftu2Dee9t2xP572PfDHaNr3
5HraOs4z4nc0q9C+D/78kPYW6FOf9v3QvzrtLdHvyVq1t6Z9OdrbRPF9hPYD
6O/2WuZDsecU7QdHKS5T16rdEPTdvVbPDYtS/BTQfjjxsYr2I/FnNO1HoW8G
7cdwHUr7sejvRvvx9O9A+6+wx432E4mXWWvZj48+w2g/hfiZTPup4HeW37+c
HqX8U472M+DL6zX6fxb6FK1Re1vkF9N+Dnw7sEb/z+X59bS3Q/5m2s/nOoHf
01wAPzbSfiH88ae9I9f9ae9E/NnQ3gX+D6G9a5Ty4YrVau+OfidXCScP8Du9
kvOh8M/tBD3nDT92xau9L+3fr6A+Rf/dK6hP6X/KCupT8DuwgvOQkb+X9iH4
88N4zluhP8t45kcNf8WrfSTx2CWe7+/gOz6edQ3c/5D2Mfh3Lu1j4bcv7ePA
L5b2S8kncbRfRv/HaL8CfVPiZWc88j7h91lX4r96Cez3AV/bBMlZgz5uCWq/
Fn8uof168tHFBPWzgfsHaZ+IvD9ovwl7269Uv1vA94OVap+EP3quVPtk5Hmu
FG9TiM/5tN9O/MyhfSrPL10pXNLAJ4v2O8kPu2m/G74V8/u06fjHl/YZ2Lds
Jedtof+ilXpuH/iG0D4LebNWyq4c7AmifS7y/Wl/gHx0aiW/D4J/5tM+H359
S/sC5JX0r/lS7i+n/SH89WqleHIYfJNWsr4TfR/Q/ij+ebNSen/D9UvaH8Oe
+7Q/Dv4frlI/J8DjKu1Pgf9PK6XXaeS9WCncz2L/rys5/xU+x61U3F1A3x20
v4g9+2j/Hf1fX6l4vQx/M2l/BT7ErtT/V8HTnnxxDX1W0P5H8kPJtUnvG+Rz
R9rfJF+areR8WfQv4avWe3K/Iu3vwJeS+yY/3UXfJ8TLL/jrBvFyD/ufEy8P
sPcH4uUh8fwggXoVvF1o/wR7CxPE12fYk5ogvX7F/p0J0vs3+OaVIL7+jr2p
tP+D+AhKgAfIi6T9Xzy/PoH94fDJO0F+ew0/TyVIz3+wNy6B89KQf5j27/D3
9gTWfxKvAbQvu0h65ibwnrtI7b9OEN8qLGJdTQL7yRdJn+sJeq7yItmxhfYf
LCrNTya+VOU6ifbVFglvjwTZ+eEiPbeQ8aXGIs6VTlC7WrRfliA/1F4knKbh
7zqLZN8a8mtd5AXj748Xye6J+Lv+IukZQvuGi+R3T/zdaFEpnqb2jbEvBn83
WcS53PDlM64X4e+m4GOOv5tzvw/+bgHezfH354ukRxv81Yr+2+DvNsjrib/a
LhJO/4uXX9rxu+nV8dcX4PMp/v5ykeT+E6/2HemvAv7qhH5Vad+F5+vjr65c
l8HfZvT/Jf7qDn63qQfM8d9bxtOe6HOI8bw3z59jPO0D344wnvalv3zG037Y
v57x2Ar/bo3X362xxy+e84oXyU+28ZzvxPOr+X31QYtkp0u8/DCY9uHx0nso
fJoWL38Nw1828XzPx/5e/D77yEWyo3u82o3GngHgPYb+asVTv8LntvH6+3iu
f+b347+Cb7XjqV9pf4n6aRLP31xB/Yp+f1A/TeU6nfprOvp8t0J6zkDeIuqv
WdjrsUJ42xKfdfn9+jk8/9EKzluGL0XL9Zwd+aHxcuZX4W/AMuZXkTd3Gb+v
AR+uLlW/jvBhwVLZ7QSez5ZIrjPPf7VEeLti3zdx7E+nfUQc3/ex1yxOeHsi
r0Yc86zo7xYrPX3QPzVWePnhX7tY/e+PPQ6xwisQ/IsXC+8gnu8fK7xCsDdr
sfoNXcR7dKz+Hk68fh6r/yPQb3Qs86LEz65Y2bkI/ZrHsV8dPkfGCa/FyH8c
J5zieL4veC1Bn8Qlwmsp9ny/RDgsJ95K8NZ+JOLhnyWcx8p1z6Vqt5J8eniJ
cF4Nnj5LWE/K85uW8L1/kXBqu4Tv/fD7epye28j9nnHCIRF/1o+T3pvB93Is
863oGw5eW4n3r8ErmfuescJrG3ivjlW/29H//WL8Dt6TYtUuDXktYtmfxPOd
Y2XnbiN/xwqvdPAv8afJLxnoXx5+7eX5j+HXPvwRGcv6UvAbAr9y/uvPpHcu
/irR14TXAfzvGKt4zENeJ+zNh58/Lea9m/z5fDHvqbRfsph6Fv1vL1Y8FoPf
hcXUs+AXB15H4Wv+YupZ4m3PYva3k09iFrO/necfxXC+D/6cslh6noIvI4in
09hrgb1n4fOKxbLjHP31XCy7L3DfG3svgkfJ8yY/fEd/oYvlh8vwbQ72XsH+
BYuZfwWvJdj7A/Yvxt4fsWfCYva7o78T9t5En8uL1e9P8KHkvgn3W+i/F3tv
g9cp7L2L/R3hx//Qpzv54x7+aUM83MefD7D3IfaPJR4ewa+psernCfft4PNT
7DsZK72fEZ+LY2Xvc/J/3Tjp9Rv234iVHS+4706+/AN8i+Dzn/BxSqz+/hf6
ziVf/g1eM+Dza8O/2PsGfe/h37e07xYrPr9H/3rYWyZadv2Ff8tFq91G+Fw+
WjgVLFb8VohmPQv+rRQtvU7D58rR0r+EP5qPjcbv+LdqtPTeBp+rR0v/3MXS
68No6TkT/9REn4nwuRbXqxdzHifym8HHOtGyN5z4rYf80zHiwcfR7BOHj/Wj
2ecYo+caIu9xjP7eCHtPxXCeHfePxXB+ezS/ixIjHD5D3pUYtWtK/3Ex8ktz
7GuGf1pEyw/eMdS3+MMnhvWp0ZyTFEN9i/7TY6hvkXcymvqW/gfHUN8i//do
1gtEs04IvTuC12zyTSfsu4sfu0Sr36PR8k9XA+8Y1iVHs4+Sfrpjb80Y9j/R
rl6M9O6J/9+hby/kTUffPuD9hr9b8PwH+KcffHtJv5bgdRJ9raMZL7DThv4L
aDcA+TOQO5D7ftHSdzD4LuD/IeD0NTgPQ++S50x8Go6ew/h/BHJagsMonv8U
v4xG7xrgPhb/VkffcTz3I3nyK9p3Qd8J4FwJOycRn/WJi8k89zt14FT81wV9
p9H/t4yb09H7IXlvJvrE8t43y+A7eWQ2eN03xgX6d0Hfedx/T96zAwc38pI9
+qygblgAruvR14H7k8jbjuC0gbzvjJ1x6OuCn3zQ15X+h6CvO3Z/gb4e4BuO
vl7gvhF9veGHPfr6Ii8AfUt5gr4B4HUCfQPRbzn4BoFPNPqGgGcc+obiz23o
Gw7f3NA3AvwK0DcKPGIZ5xaB33b0jcGe7ei72Mg/6BtH+8vou4T7n6HXUvrP
ZVxZjn794c0K7K+AnAT+t6bflfivD/G2Gvkz4eUaw7/IWQfenfDjevwTDO83
IGcOOCeijz/6bsI/J+lnC/2MRN8k+llBfkim3VrapeCvMPy0Hb6E008q+sbw
fxpyHqHvTvB6j7670Pdn9E1H7jXy7x7sO0e7veh5CBwyyWdHiO8s7nujZzbP
LcHvuTxXDn33o9eHxEuekf9Z93EQfaqxLjEfvV5y7lYh+rvwOwBF9LuY3zk9
jF0febJOj+evuwrno8b44MA6BPp7asf55Tx/d45w/hYcfrNVu+P45fhs+fMk
/us+r3ScMek52p71r/g7yYHzncDjhrP6PQ8eU11Z18L9NFfhcwm/5rkKn+/g
8UFX4XMZ/Yucmc8F/2Bn5nPx50fOzOdiX4CTnvuR62FO6EX7VGfWH+BvJ2fW
H8CjWa7C5xZ4LnblvHX8Pt9N+NzFv+/cmOeCv64erIcFr7me5G3w8PCi/gX/
Kt7Uv+izz4f6l/48fKl/eX4nv/P5DDwf8Ltmz9FnrH435uhv6NNG59h3fYG8
msHy2x/gbRHC75fBx790TmnUX+C7QedgVf0bf+dzjuZr4mM85yj8g/zVnEPx
luuO7Nt8Z+QT9omVoa6Ywz6vstRha9m3VT5G+jRjH00F6rAurMOtRF04kHX3
lanbyhBfH8T8/31IVambfmbfczX6u88+wQ9jZN9Q1k3XiKEeZ19oLdpXYV9C
bfobzTrkj6g7K7Guvi5176fsU6hHf5+w7rw+9txiH2ED6sBK7FNohH23wlkv
Sx17gX2oTWJK982qH/qLZV/tZzHqZwv7Mptxfwn+aB7DOjj80ZLnDX98Th3e
H3+05vl27CNuE1O6b9bUX1vwHkN/7emvD/19gb63OQejA9ef0V9H8HnMOSid
qUv/4JylLujjy7ku3fDHfM4JMUM/X86V6U77upyTZI5+dcKYxwHPTpwL1Bv5
ZTj3ow/vFe85x68vz1/m3L5+Mbyv6Fy0l5bg9yKU86TgwwPOobPB3uWcszqA
/lZxruFArpvrnL02g+HHePobElN6TqSpv6HYb0F/w9G3PP2NoO7/kP5G4a8s
ztEeTfvcEN7Dibc5nAs8Lqb03GjNa9L/Rzo32X8CeHQL4bsFePfi3OfJ9FeJ
c5WnGO9pnEM8jes4zvmfDp7rg3kPBa869DeL53/ldzNs0e8tv6Myh3ipHsz6
Bfi0hd91sUO/Q/zOxXz0WxPEvC58vczvrCykvy3054D8pvTnRP4q4HfInGPU
Tzv6c0W/2/zOkRv4fUx/HvT3gN8Z8ySf+AfK797w2T6w9L1U5zjzu32+6PMm
gHUW5CtbfvcugHy2it+xC+L58fwuXzD9F+t328qEwpds/U6haxj8cAqgbid+
9tBfJPx+x+9gRiH/Fb8DGw0eXegvBrw+ob9Y7p/T78S6xoHPp/S3hOufGN+W
4S9v+ltu6EN/8eDVkt9VTaD9Bv1OaZlV6FuV/lYTrz399dwa8u8DP84XwP/L
+R3k9eDfw491LuBtod9dXp6IPZX4HfDNyOvD72BvQZ9kxu8k9NnvS32M/kt8
qY+NfMPv1G8HvxRf6mP8s8mX+hh7GlIv7CR/rNLvzp/ZRXzd9lF/6dxf58N+
MPpz9JHcvdyvS3+ZxKOLj+Tswx/PfDi/Cnsv+LAeFz7Mor/99P89/R3Anq70
d5D+b3jzXQ171nurXQH4tqK/IuJ7tzd1PPFd1ZvvHuDt7S0/HQGvet7sDyM+
59HfN+hz3qt0nsnUboQ388P4/7SX/HaC+LrhJb1PYb+jl9qd5n5/L84joH2c
l/Q8h/x4L/39PPbP8pLdF5FXi/4ugfcpT3gBP1M8FbffE89PPNkvhvy/PdXf
D8hP91R/15B3z5P3CIPvvF/c4L6/p/7/Cf/Pob+fyRcFnsL5Fv7p6ym/30Fe
D0/O8cUfA+nvF+Sd9mD9A/4rsc/Euwdcd/cUnx8a+cVDch4RP43o7wn9f0y9
/RT+vPWQ33/FHw88OK8AfM56qL/fySd/ezBfDF93ejBfzLUX9f2f5Ot7HpLz
F/pae1Avw884D+pl+vvcg3oZe564oyf973Qnr8JPN3f2kzEvHO8uOWWZ5y1y
l7/L8Z3B1Z31EHxHuOPGegjm/f9xE/6VmQd2dmeej3n/JHf5uyrylrjLz9X4
DmPvLvyr8/wZN/1fg3nfyu7Suybz2olunI/Fd4rG7py3jz2/uZFn+M6wwE1/
r0f7Wbxffcy8d7Kb9G7AvPMON/m7IfZ6u1Fn851inJv0boy8VW7Cvwn4vXXj
/H3sbenG/DH2NnZj/hj76rixPoJ58cuujDvMwx93lZ6tmHc/4cp+M+O7hyvn
UDLv/rWr5LQDz/G8H38BXsW8H39p4MX7cQf0P+vK+l76u+UquZ3Rb5Wr+u0K
fqd4H+8GfjN5vzWDD2tcOX8V+8+4CA9z7J/pIjx6Ye84F/GxN/dbg0cf9Hnj
rH77Mu9/zYXztPiOcM+F9RLoE+DCegnkbXHWc/35DtLORTgMAD8XZ/IK+I12
Yb0veD91Yl6S68+ZnxgGP/5x4hxt5PVwZj4Z/C2dmE8Gn+bML4yGT3nML4w1
viM6UT8b39GcJGc8165OwmMC8o46Co+J8PeRo/SajPw0R+ExxfiO76i/TwPf
uk7CYzrf8fc7cJ4/9n7pyPoJ7NvCfI0t30GuObI/DfyzHeT3uejjv1B4zDO+
Oy0U7+bjv4yFzNvir44L9feFyN9pz/n+2PPcXng4ou/ABcLFmfh7Yi87XWjf
2Z5zZ9F/x3x+Lwc+xc+XXE/4WsFefvAiPhraM49Hfx3mM7/M/Wt2zC9zbTuf
+WX4MXU+53FxXcdO/grCf1XtWE+B/z+zk79CwbOanfQLx/9N58lfETw/cx7v
ddjTc67kLuL553NldzT4jprH+a74x30e7/3E47B51BngbT5Xdi2lv7Vzpd8y
8snSOczTgu9fc6R3PNefzZV+Cfj7ylzptYr8UmKP1i3w/OE5nLNDvPaaK/3W
oW/+HN7z0CdkDucpcP+juayvwN6f0W8z/h2Oflu4rot+STzvg37J4Fl2nviU
gv9K8FE9TXynzaWeBo/p89jnhLwe86TnTvx9B/12gXf2POoq5JX4y6TfHuS9
ncs+ReLRYp70yySe3s1hfxvyL4FfNs+PmC39coz4Z74217DHlvO86O/sLOmX
h/6f2Uq/fOLpiC11G/7xt2X9MM/3s+V8WCMfz1a/h43xEP2O4D8X9DtqxNts
9rvBlxpz9Nwx+LhijvT7lngcOUf6nTDiCf+ehP9ps6XfKfSZM4e6w8gv4HcW
PA/NZv6Z/FiIfheMfAb/LhrjGfp9x/Va9LsM/kGz4T3+tZ/N+gv8MX0263Th
f83Z0u9H7LWcrb9fN/C0ldyb4H/KVrj+hD+/w78/g88529J1LyZ7ttmy7wd9
JtlKv/8Z49ss8eAX2mfYqp978PWxrXB+gH8q2bK+mP4/sWUeDv3boN8T8G5r
y/kM8OHJLOn3K/kgaVbpOh7ly1nU10b+R78X2POFLfU1+k5Avz/x571Z1NeG
PPT726g/Zum51+hXexb7FuFPg1nsj+P6g5nM26NP0kz9X4Z1Ja9mig9lWVc1
Zpb0Kxdbao+JrxVYd9J9pvxakfbrZur/Sqz72DGLfll3Un2m9KvCOq/HM/gu
xDqq+jM5p451KPNmSI8PWac1Fbxrso6kEfFei+fNZrI+g3UqD8C7DvLXzhQf
6vJ8Sb7QexPX28G7Put2qsyUHQ1Z5/JkpuxuxDq0/02XXp+AT/kZ+r8J68wG
z5Cen3K/K3g3ZZ3P6BnMT4Nf3nTmp1m3lgXeLVkHZAHenyMvZYbatcIfqTPV
bxuePztDdrfF/srg3R57B4D3FzzfZCbrNcD39+ms12CdUKMZwrUT+jYA7y7g
EzhDcrpiXxL2dEM/u6mS0x37Xk8Tzj1YF3doGr93wDo8q+nMqxr+mCG9e8Ov
1tMYV+BHnemc90D/z6eLP/3wR9405NL+6gzxx5rnQ2dQb7Ouq+806m3aT5pK
vY3+vabLnsHIq489Q4ifI1NZv4F976YwX43/bKZw/gP2jpmqv48Cr1ZT+c4C
/q+nEpfIy8A/48Cn4VTOH+N68XQ9N+E/eSZ7Jhp8nyI7JvH8tcml68C0Dmmq
/j4V+6Kn6P/p4PMT9hjrwmpNldyZ8GfsFPnHFvvKTtHfZ6P/s0myZw754c1k
PTcPPn44mfUc3A+cxO8loO/ByXpugSFvIvvv4OcP2ONIvimYrHZO+HPdRNYv
c/8T7HE18JnEPAR4DJ3E/DX+/W1S6TpWxctE5knQfxP2+Bj+mCScfPFn/iTx
zp/+fpmkdgGs26s5Cbvhd4uJnFdm8Hki5+GCbzPsCcUfKyayvgP9rCewnpl8
sGOS/BllPD9B9iwy4m+i+o02xoOJ4udinnedILmx2DdkguxZAj/ejeccBPC4
OZZ9ZLS/NY76m3jwGE/9DT6x46m/6f/2WPa5449241mXhz3Hx1PHwPcr4/X/
OvxbbTzrm+HTkq+Yzzbic5zsTzTyzXjWe8CnB+P5rsi1/XjGffJH8Tj9n4y+
Zb+S3Sn4r+sY6hj0/3G8/JmK/6PGMa/DuumXY/VcGtf1xsufu7g2GyO7d9Of
1VjZv4f+yo9hXz3PzxutfvaCz6LRnKeLP8qMZv8e+JwZJbnZhr9HsU6HfH9m
rP6+n+s+I5gXoP+7o1j/YfhztOTmG/ljlNoV/qefztcF/79Hyv5D+OfcaOa3
6a9wlOw/wvN+Y5jfhm9Oo1n/DL4Vsf8Y4/flser3uMHv0fr7Ce7/MYLzJ8Dr
27Gy/zT3V42R/WeIr3JjZf85+t8zmnl17PtllOy+AD7fjZYdl7Cn+ljZ/x18
9hnNehCe/3qU7L8Cn3ePkt1XjXW4I8l7xG/t0dTj4DcS+6/jjw34/ybXQ0dS
jxv4jFS/P3N/1wjF6W3Gg7WjmGcFv33w5a6BH3z5hfjOHi7775G/TozmfAoj
vkYz342/vEZxXpoxHo2gDqP/v4YJh6dG/TeC9SHG+Ahez7mfO0J4/Ya+bqMl
5wX+OTaC7+7G+DJc7V7S/qsheu4v9H81nP1/Bj5DOa/X4Pdw5tmM+m2k8HrD
81WHS4+3xv2hrOsinzQdKjll2IfRdajsKhcnvE4MYb00+046DBNeFdhns2ko
5/eyz6bREOFVmespQ1gvwj6d2oPRK47xYJBwqPaffFO/1ePwz2Dmv9nXUn8w
74Fc9xig/2vTPmMg56vFcW7YEOq2OP09Z6DsrGfoP5B9GXHEzwDWT8ep3x9s
eO9m3fvXA9kfyHXEIOHYOI51qgPUbxP2rdywFL6fGvJtpGdT+i+y0v/NkNei
P/U5+3qGDaA+j2P8taI+5zpsoPBtBd69BgjfNshLseG9Mo7xuT/rTIz7Azl/
LY74tBG+X4Lv2oHSuyP2rR8gHDsZ/rPhvAv4U6c/PIqTHcP7Mx+O/Kr9mQ+n
fxvw7YG9u23YNxknXG9Z6/9eyEu3Er692ce1yIb9g+D51or1JPhvnY3+3o/+
H9mwvprrU/2FrzX8WQa+NvDnVyvW6YBvvpXaDYzjfQd8B4HPNWvWUYPfxH7S
Yyj832etdsPw320r9hPCl0Ir2TWS6zeWioNR+K95f85Zgc+eNvz+xH/t9d7O
/VX9WG8NftUtJWfCf/c1P879M1bMj2PffZ6fYvCzn+yYatjbm/2FxGsu/pth
+LOf/DcLvmT2Fa62+O9eX/lvNvcvWHJ+MPYk9pL/5hn+sWRfHvE0wJz11/9X
1Nm8QhSFYdxG2dnYKIkpzBgz7ty5HyYzY/4FZW0pWUihxAKxkI2UYqHJzkdR
FsJGErFV1v4BZWMjK+X5PVnee99zz3ue97nvPb33Oec6v9TQuRP/74riNsP1
14T5OuvMJmvM14nvcsJ83XikfFcgH55U0Zu4fQMdIXhOjMp+wf3VZL/I9bc6
dVT43ZIKhyXG81Rl/4x/f/7Or8DHnSp6bPeXUC/HvzbitwqeQV3xW3P+SOTX
Ovzfruj8huMxpnab4DeSst+bxxPzPwvnr5Lst/C/NdG4tsGn2UCnTfvdGJ0v
/k6nxJXjbMR6RPLJV4w+2/eL+L8F/MqH7P/m/J/Ifo/28wH7a5jvgez3wWdu
SDgfEI/7EvMWP+8xOkXnx0h+HsLPrlg4NcFvKmJ9ovEuy/4I/2ZD6ueM5z1B
j+L7l9G9O18XqLs4HwfixzF8aM8J91Oe1+dQ9meOR5H94Rxf+HRuvIvC5cL+
Z1mvaLxC4Xjp4xzzd/MjT52e8XQXZH/F9Zsi+m2PLxAPruHDeEY43drfPDpY
9zeAPsX86+O7PHh+wr878lFnjjj6+R1mXTn36xiUnw+Of0b2j85vPdTT/T4t
UU83HwP1+2L+97NOBz5+ZNFz0/6nt/ELG4+OYw==
"]]}}, {}}, {}},
AspectRatio -> NCache[GoldenRatio^(-1), 0.6180339887498948], Axes -> True,
AxesLabel -> {
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin -> {179.45, 0.}, GridLines -> Automatic,
ImageSize -> {626.578125, Automatic}, Method -> {}, PlotLabel -> FormBox[
StyleBox[
"\"Himmelsspektren mit und ohne Fensterglas\"", Bold, StripOnInput ->
False], TraditionalForm],
PlotRange -> {{179.45, 889.35}, {-47.17, 8446.65}}, PlotRangeClipping ->
True, PlotRangePadding -> {{14.198000000000002`, 14.198000000000002`}, {
169.8764, 169.8764}}],
TemplateBox[{"\"Mit Fensterglas\"", "\"Ohne Fensterglas\""}, "PointLegend",
DisplayFunction -> (StyleBox[
StyleBox[
PaneBox[
TagBox[
GridBox[{{
TagBox[
GridBox[{{
GraphicsBox[{{}, {
Directive[
EdgeForm[{
Opacity[0.3],
GrayLevel[0]}],
RGBColor[0.24720000000000014`, 0.24, 0.6]], {
Directive[
EdgeForm[{
Opacity[0.3],
GrayLevel[0]}],
RGBColor[0.24720000000000014`, 0.24, 0.6]],
PointBox[
NCache[{
Scaled[{
Rational[1, 2],
Rational[1, 2]}]}, {
Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full,
ImageSize -> {10, 10}, PlotRangePadding -> None,
ImagePadding -> 1,
BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, {
GraphicsBox[{{}, {
Directive[
EdgeForm[{
Opacity[0.3],
GrayLevel[0]}],
RGBColor[0.6, 0.24, 0.4428931686004542]], {
Directive[
EdgeForm[{
Opacity[0.3],
GrayLevel[0]}],
RGBColor[0.6, 0.24, 0.4428931686004542]],
PointBox[
NCache[{
Scaled[{
Rational[1, 2],
Rational[1, 2]}]}, {
Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full,
ImageSize -> {10, 10}, PlotRangePadding -> None,
ImagePadding -> 1,
BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}},
GridBoxAlignment -> {
"Columns" -> {Center, Left}, "Rows" -> {{Baseline}}},
AutoDelete -> False,
GridBoxDividers -> {
"Columns" -> {{False}}, "Rows" -> {{False}}},
GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}},
GridBoxSpacings -> {"Columns" -> {{0.5}}, "Rows" -> {{0.8}}}],
"Grid"]}},
GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}},
AutoDelete -> False,
GridBoxItemSize -> {
"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}},
GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"],
Alignment -> Left, AppearanceElements -> None,
ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"],
LineIndent -> 0, StripOnInput -> False], {FontFamily -> "Times"},
Background -> Automatic, StripOnInput -> False]& ), Editable -> True,
InterpretationFunction :> (RowBox[{"PointLegend", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"Directive", "[",
RowBox[{"RGBColor", "[",
RowBox[{"0.24720000000000014`", ",", "0.24`", ",", "0.6`"}],
"]"}], "]"}], ",",
RowBox[{"Directive", "[",
RowBox[{"RGBColor", "[",
RowBox[{"0.6`", ",", "0.24`", ",", "0.4428931686004542`"}],
"]"}], "]"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{#, ",", #2}], "}"}], ",",
RowBox[{"{",
RowBox[{
RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",",
RowBox[{"LegendMarkers", "\[Rule]", "False"}]}], "}"}]}],
"]"}]& )]},
"Legended",
DisplayFunction->(GridBox[{{
TagBox[
ItemBox[
PaneBox[
TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline},
BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"],
"SkipImageSizeLevel"],
ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}},
GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}},
AutoDelete -> False, GridBoxItemSize -> Automatic,
BaselinePosition -> {1, 1}]& ),
Editable->True,
InterpretationFunction->(RowBox[{"Legended", "[",
RowBox[{#, ",",
RowBox[{"Placed", "[",
RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output",
GeneratedCell->False,
CellAutoOverwrite->False,
CellChangeTimes->{{3.564482326101763*^9, 3.564482333883238*^9},
3.564483770445158*^9, {3.564483842075665*^9, 3.564483869447949*^9},
3.564484321771319*^9, 3.564484416978269*^9, 3.564570623195026*^9,
3.564679417200358*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"ListPlot", "[",
RowBox[{
RowBox[{"{",
RowBox[{"Select", "[",
RowBox[{
RowBox[{"T", "[",
RowBox[{"{",
RowBox[{"wavelengths", ",",
RowBox[{"1", "-",
RowBox[{"himmelsMitValues", "/", "himmelsOhneValues"}]}]}], "}"}],
"]"}], ",",
RowBox[{
RowBox[{
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[GreaterEqual]", "320"}], "&&",
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "2", "]"}], "]"}], "<", "1.01"}]}],
RowBox[{"(*", "me\[SZ]ungenauigkeit\[Ellipsis]", "*)"}], "&"}]}],
"]"}], "}"}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",", " ",
RowBox[{"GridLines", "\[Rule]", "Automatic"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}], ",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{"\"\\"", ",", "Bold"}], "]"}]}]}],
"]"}]], "Input",
CellChangeTimes->{{3.564481446197877*^9, 3.564481453641663*^9}, {
3.56448148405788*^9, 3.564481529005383*^9}, {3.564481579354349*^9,
3.5644816413744383`*^9}, {3.56448178029347*^9, 3.564481919091878*^9}, {
3.564482053540707*^9, 3.564482108374772*^9}, {3.564482180762382*^9,
3.564482185825654*^9}, {3.564482222777666*^9, 3.564482238049152*^9}, {
3.564482339487981*^9, 3.564482342761939*^9}, {3.564482700887801*^9,
3.564482702014818*^9}, {3.564483136146636*^9, 3.564483213541666*^9}, {
3.564483871187643*^9, 3.564483878823333*^9}, {3.564484213971445*^9,
3.564484227250649*^9}, 3.564484416980109*^9, 3.5645706231957417`*^9}],
Cell[BoxData[
GraphicsBox[{{},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJw8XXlcTX33LTIlJE2a0Ug0CEW0iTIUUSrj02TOfOd7qztFyJQQIpIUIUQZ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"]]}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Absorption\"", TraditionalForm]},
AxesOrigin->{327.06, 0.22061336865227354`},
GridLines->Automatic,
ImageSize->{742.828125, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Absorption des Glases\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{327.06, 878.71}, {0.22061336865227354`, 1.009984133621962}},
PlotRangeClipping->True,
PlotRangePadding->{{11.033000000000001`, 11.033000000000001`}, {
0.01578741529939377, 0.01578741529939377}}]], "Output",
CellChangeTimes->{3.564679417572879*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"ListPlot", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{"sonnenspektrum", ",",
RowBox[{
RowBox[{
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[GreaterEqual]", "350"}], "&&",
RowBox[{
RowBox[{"#1", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "800"}]}], "&"}]}],
"]"}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",",
RowBox[{"PlotStyle", "\[Rule]", "Red"}], ",",
RowBox[{"GridLines", "\[Rule]", "Automatic"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{
"\"\\"", ",", "Bold"}], "]"}]}], ",",
RowBox[{"Prolog", "\[Rule]",
RowBox[{"{",
RowBox[{"Dashed", ",", "Black", ",",
RowBox[{"ll", "[",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{"{",
RowBox[{"656.3", ",", "486.1", ",", "434.0", ",", "410.1"}], "}"}],
",", "\"\\""}], "]"}], "]"}]}], "}"}]}]}],
"]"}]], "Input",
CellChangeTimes->{{3.564482454786237*^9, 3.5644825209955473`*^9}, {
3.564482705489007*^9, 3.564482708442039*^9}, {3.564483882835091*^9,
3.564483882995517*^9}, {3.564484153201943*^9, 3.5644841727021523`*^9},
3.564484416986258*^9, 3.564570623199944*^9, {3.5646859838615522`*^9,
3.5646860396581497`*^9}, {3.564686090695121*^9, 3.5646860999602623`*^9}}],
Cell[BoxData[
GraphicsBox[{{},
{RGBColor[1, 0, 0], LineBox[CompressedData["
1:eJxFnXV8FsfXxbHi7q5FSnEvRYJrKV6gaJHiTty9uBYoLsECQRMSCkQgRgJx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"]]}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{350.16, 0},
GridLines->Automatic,
ImageSize->{750.3515625, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox[
"\"Intensit\[ADoubleDot]t des Sonnenlichts (Eingezeichnet: Balmerserie \
des Wasserstoffatoms)\"", Bold, StripOnInput -> False], TraditionalForm],
PlotRange->{{350.16, 799.84}, {0, 45452.5}},
PlotRangeClipping->True,
PlotRangePadding->{{8.9936, 8.9936}, {909.0500000000001, 909.0500000000001}},
Prolog->{
Dashing[{Small, Small}],
GrayLevel[0], {
LineBox[{{656.3, 0}, {656.3, 100000}}],
LineBox[{{486.1, 0}, {486.1, 100000}}],
LineBox[{{434., 0}, {434., 100000}}],
LineBox[{{410.1, 0}, {410.1, 100000}}]}}]], "Output",
CellChangeTimes->{
3.564679417713827*^9, {3.564686031135172*^9, 3.564686040490069*^9}, {
3.564686082773609*^9, 3.564686100947225*^9}}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"ListPlot", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"T", "[",
RowBox[{"{",
RowBox[{"wavelengths", ",", "sonnenvalues"}], "}"}], "]"}], ",",
RowBox[{"T", "[",
RowBox[{"{",
RowBox[{"wavelengths", ",", "himmelsOhneValues"}], "}"}], "]"}]}],
"}"}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",",
RowBox[{"GridLines", "\[Rule]", "Automatic"}], ",",
RowBox[{"PlotStyle", "\[Rule]",
RowBox[{"{",
RowBox[{"Red", ",", "Blue"}], "}"}]}], ",",
RowBox[{"GridLines", "\[Rule]", "Automatic"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLegends", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}],
"}"}]}], ",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{
"\"\\"", ",", "Bold"}], "]"}]}]}], "]"}]], "Input",
CellChangeTimes->{{3.564482570279921*^9, 3.5644825785702887`*^9}, {
3.564482712167035*^9, 3.564482714985388*^9}, {3.564483888016768*^9,
3.564483890786881*^9}, {3.5644839628359537`*^9, 3.564483985581699*^9}, {
3.5644841290532637`*^9, 3.564484135744937*^9}, {3.56448417685572*^9,
3.564484182165423*^9}, 3.5644844169924793`*^9, 3.564570623204274*^9}],
Cell[BoxData[
TemplateBox[{GraphicsBox[{{{}, {{
RGBColor[1, 0, 0],
LineBox[CompressedData["
1:eJxcnXdYF8fXxe099t57L9i7YtdoEjXRGKNGY0NFpEsT6WDvUWMvIIK9ITZA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"]]}, {
RGBColor[0, 0, 1],
LineBox[CompressedData["
1:eJxUnXd8z9f3x201ahQ1SmvVbO0QI2TYe9VeMSJk770TicRKbIJIiCAiMogM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"]]}}, {}}, {}},
AspectRatio -> NCache[GoldenRatio^(-1), 0.6180339887498948], Axes -> True,
AxesLabel -> {
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin -> {179.45, 0.}, GridLines -> Automatic,
ImageSize -> {620.88671875, Automatic}, Method -> {}, PlotLabel -> FormBox[
StyleBox[
"\"Intensit\[ADoubleDot]ten von Streulicht und direktem Sonnenlicht\"",
Bold, StripOnInput -> False], TraditionalForm],
PlotRange -> {{179.45, 889.35}, {-46.51, 45452.5}}, PlotRangeClipping ->
True, PlotRangePadding -> {{14.198000000000002`, 14.198000000000002`}, {
909.9802000000001, 909.9802000000001}}],
TemplateBox[{"\"Sonnenspektrum\"", "\"Himmelsspektrum\""}, "PointLegend",
DisplayFunction -> (StyleBox[
StyleBox[
PaneBox[
TagBox[
GridBox[{{
TagBox[
GridBox[{{
GraphicsBox[{{}, {
Directive[
EdgeForm[{
Opacity[0.3],
GrayLevel[0]}],
RGBColor[1, 0, 0]], {
Directive[
EdgeForm[{
Opacity[0.3],
GrayLevel[0]}],
RGBColor[1, 0, 0]],
PointBox[
NCache[{
Scaled[{
Rational[1, 2],
Rational[1, 2]}]}, {
Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full,
ImageSize -> {10, 10}, PlotRangePadding -> None,
ImagePadding -> 1,
BaselinePosition -> (Scaled[0.1] -> Baseline)], #}, {
GraphicsBox[{{}, {
Directive[
EdgeForm[{
Opacity[0.3],
GrayLevel[0]}],
RGBColor[0, 0, 1]], {
Directive[
EdgeForm[{
Opacity[0.3],
GrayLevel[0]}],
RGBColor[0, 0, 1]],
PointBox[
NCache[{
Scaled[{
Rational[1, 2],
Rational[1, 2]}]}, {
Scaled[{0.5, 0.5}]}]]}}}, AspectRatio -> Full,
ImageSize -> {10, 10}, PlotRangePadding -> None,
ImagePadding -> 1,
BaselinePosition -> (Scaled[0.1] -> Baseline)], #2}},
GridBoxAlignment -> {
"Columns" -> {Center, Left}, "Rows" -> {{Baseline}}},
AutoDelete -> False,
GridBoxDividers -> {
"Columns" -> {{False}}, "Rows" -> {{False}}},
GridBoxItemSize -> {"Columns" -> {{All}}, "Rows" -> {{All}}},
GridBoxSpacings -> {"Columns" -> {{0.5}}, "Rows" -> {{0.8}}}],
"Grid"]}},
GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}},
AutoDelete -> False,
GridBoxItemSize -> {
"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}},
GridBoxSpacings -> {"Columns" -> {{1}}, "Rows" -> {{0}}}], "Grid"],
Alignment -> Left, AppearanceElements -> None,
ImageMargins -> {{5, 5}, {5, 5}}, ImageSizeAction -> "ResizeToFit"],
LineIndent -> 0, StripOnInput -> False], {FontFamily -> "Times"},
Background -> Automatic, StripOnInput -> False]& ), Editable -> True,
InterpretationFunction :> (RowBox[{"PointLegend", "[",
RowBox[{
RowBox[{"{",
RowBox[{
RowBox[{"Directive", "[",
RowBox[{"RGBColor", "[",
RowBox[{"1", ",", "0", ",", "0"}], "]"}], "]"}], ",",
RowBox[{"Directive", "[",
RowBox[{"RGBColor", "[",
RowBox[{"0", ",", "0", ",", "1"}], "]"}], "]"}]}], "}"}],
",",
RowBox[{"{",
RowBox[{#, ",", #2}], "}"}], ",",
RowBox[{"{",
RowBox[{
RowBox[{"LegendLayout", "\[Rule]", "\"Column\""}], ",",
RowBox[{"LegendMarkers", "\[Rule]", "False"}]}], "}"}]}],
"]"}]& )]},
"Legended",
DisplayFunction->(GridBox[{{
TagBox[
ItemBox[
PaneBox[
TagBox[#, "SkipImageSizeLevel"], Alignment -> {Center, Baseline},
BaselinePosition -> Baseline], DefaultBaseStyle -> "Labeled"],
"SkipImageSizeLevel"],
ItemBox[#2, DefaultBaseStyle -> "LabeledLabel"]}},
GridBoxAlignment -> {"Columns" -> {{Center}}, "Rows" -> {{Center}}},
AutoDelete -> False, GridBoxItemSize -> Automatic,
BaselinePosition -> {1, 1}]& ),
Editable->True,
InterpretationFunction->(RowBox[{"Legended", "[",
RowBox[{#, ",",
RowBox[{"Placed", "[",
RowBox[{#2, ",", "After"}], "]"}]}], "]"}]& )]], "Output",
GeneratedCell->False,
CellAutoOverwrite->False,
CellChangeTimes->{3.564482581430257*^9, 3.564482715597958*^9,
3.564483892322875*^9, 3.564483986353278*^9, 3.56448413651651*^9,
3.5644841829500093`*^9, 3.56448441699891*^9, 3.564570623210134*^9,
3.5646794180491037`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"ListPlot", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
RowBox[{"T", "[",
RowBox[{"{",
RowBox[{"wavelengths", ",",
RowBox[{"himmelsOhneValues", "/", "sonnenvalues"}]}], "}"}], "]"}],
",",
RowBox[{
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[GreaterEqual]", "300"}], "&"}]}],
"]"}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",", " ",
RowBox[{"GridLines", "\[Rule]", "Automatic"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{
"\"\\"", ",",
"\"\<\!\(\*FractionBox[SubscriptBox[\(I\), \(Himmel\)], \
SubscriptBox[\(I\), \(Sonne\)]]\)\>\""}], "}"}]}], ",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{
"\"\\"", ",", "Bold"}], "]"}]}]}], "]"}]], "Input",
CellChangeTimes->{{3.5644827373648*^9, 3.56448280412851*^9}, {
3.5644838967121*^9, 3.5644839353485727`*^9}, {3.564484051517847*^9,
3.564484071701367*^9}, {3.564484115074597*^9, 3.5644841179595337`*^9}, {
3.564484197301087*^9, 3.564484203407336*^9}, 3.5644844170001497`*^9,
3.5645706232106733`*^9}],
Cell[BoxData[
GraphicsBox[{{},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJwsXHdYTm0cjigiqyEpJVQKUcoo+kmhaRNSymhQ1Lv30kBESiGUPZKVyGrv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"]]}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox[
"\"\\!\\(\\*FractionBox[SubscriptBox[\\(I\\), \\(Himmel\\)], \
SubscriptBox[\\(I\\), \\(Sonne\\)]]\\)\"", TraditionalForm]},
AxesOrigin->{300.08, 0.},
GridLines->Automatic,
ImageSize->{752.69921875, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox[
"\"Verh\[ADoubleDot]ltnis der Intensit\[ADoubleDot]ten von Streulicht und \
direktem Sonnenlicht\"", Bold, StripOnInput -> False], TraditionalForm],
PlotRange->{{300.08, 889.35}, {-0.009264538198403649, 0.5460967569059877}},
PlotRangeClipping->True,
PlotRangePadding->{{11.7854, 11.7854}, {0.011107225902087828`,
0.011107225902087828`}}]], "Output",
CellChangeTimes->{3.5646794182452183`*^9}]
}, Open ]]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell["Natriumspektrum", "Section",
CellChangeTimes->{{3.564486136305509*^9, 3.564486139519598*^9},
3.564570623215926*^9}],
Cell["\<\
Gesamtspektrum mit starken Linien:\
\>", "Text",
CellChangeTimes->{{3.564571007618409*^9, 3.564571013584682*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["natrium",
RowBox[{"gesamt", ",", "raw"}]], "=",
RowBox[{"Import", "[",
RowBox[{
"\"\\"", ",", "\"\\""}], "]"}]}],
";"}]], "Input",
CellChangeTimes->{{3.564486014598822*^9, 3.564486074557419*^9}, {
3.564486339180212*^9, 3.564486339658392*^9}, {3.564486447516377*^9,
3.56448645006015*^9}, {3.5645678286949177`*^9, 3.564567829332471*^9},
3.564570623222933*^9, {3.5645708696911287`*^9, 3.564570870250808*^9}}],
Cell["\<\
Addition eines konstanten Offsets:\
\>", "Text",
CellChangeTimes->{{3.5645710170885353`*^9, 3.5645710233201942`*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["natrium", "gesamt"], "=",
RowBox[{"T", "[",
RowBox[{"{",
RowBox[{
RowBox[{
RowBox[{"T", "[",
SubscriptBox["natrium",
RowBox[{"gesamt", ",", "raw"}]], "]"}], "[",
RowBox[{"[", "1", "]"}], "]"}], ",",
RowBox[{
RowBox[{
RowBox[{"T", "[",
SubscriptBox["natrium",
RowBox[{"gesamt", ",", "raw"}]], "]"}], "[",
RowBox[{"[", "2", "]"}], "]"}], "+", "100"}]}], "}"}], "]"}]}],
";"}]], "Input",
CellChangeTimes->{{3.5645678328300858`*^9, 3.564567841834841*^9},
3.5645706232289762`*^9, 3.5645708676387444`*^9}],
Cell["Linien der Hauptserie:", "Text",
CellChangeTimes->{{3.5645710984592533`*^9, 3.5645711016426277`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["lines", "mainseries"], "=",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{"{",
RowBox[{"589.593", ",", "588.996", ",", "330.23"}], "}"}], ",",
"\"\\""}], "]"}]}]], "Input",
CellChangeTimes->{
3.564571103132749*^9, {3.5645736291041183`*^9, 3.564573630595788*^9}, {
3.564573667441946*^9, 3.56457367128561*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"589.593`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"588.996`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"330.23`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564573632836052*^9, 3.564573671915413*^9,
3.5646794196736813`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"ListLogPlot", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium", "gesamt"], ",",
RowBox[{
RowBox[{"300", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "850"}], "&"}]}],
"]"}], ",",
RowBox[{"PlotRange", "\[Rule]", "Full"}], ",",
RowBox[{"GridLines", "\[Rule]",
RowBox[{"{",
RowBox[{"Automatic", ",", "None"}], "}"}]}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",",
RowBox[{"Prolog", "\[Rule]",
RowBox[{"{",
RowBox[{"Dashed", ",", "Red", ",",
RowBox[{"ll", "[",
SubscriptBox["lines", "mainseries"], "]"}]}], "}"}]}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{
"\"\\"", ",",
"Bold"}], "]"}]}]}], "]"}]], "Input",
CellChangeTimes->{{3.56448607715973*^9, 3.5644860825170717`*^9}, {
3.564486302429443*^9, 3.564486353794182*^9}, {3.56448645361158*^9,
3.5644864800023823`*^9}, {3.564486534247999*^9, 3.564486574156886*^9}, {
3.5644866048819532`*^9, 3.5644867351304913`*^9}, {3.564488231167076*^9,
3.564488363316516*^9}, {3.564564804297625*^9, 3.5645648565900173`*^9}, {
3.564564916100157*^9, 3.56456493124835*^9}, {3.564567191884007*^9,
3.5645672122888527`*^9}, {3.564567256990622*^9, 3.5645673117058268`*^9}, {
3.56456743235478*^9, 3.564567436961576*^9}, {3.564567561755477*^9,
3.5645675870639153`*^9}, 3.564567820660364*^9, {3.564567852799909*^9,
3.564567854486302*^9}, {3.564567938624021*^9, 3.564567942984473*^9}, {
3.564569398551722*^9, 3.564569399255715*^9}, 3.56457062323405*^9, {
3.564571033163001*^9, 3.5645710840421247`*^9}, {3.564573680619155*^9,
3.564573686122342*^9}, {3.564575160415189*^9, 3.564575174123188*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxFkntMk1cYhysLWNqv7YepWdSsDV6LyLzgBaLITwFr1BAKGswkWdZBEWWx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"]],
LineBox[CompressedData["
1:eJxFWHdAzev/LzTUmdkz3XAzc40GxUtWyKivkLhdrUtEnM86RqhcW8i8JV0j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"]], LineBox[CompressedData["
1:eJwtkn9M1HUYx0+MQQffH1dnbhiQ1+XOKDPPBpq33sO6QP4wL+ocs4jfM4JA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"]], LineBox[CompressedData["
1:eJxFlgtYjucfx5NMvYfnfV4Na1kpkxz6Dx3nuuI7h2nNYaHDkFMOOaWyyH3f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"]], LineBox[CompressedData["
1:eJxFW3lcjWsQrtBe57TLXkRRtki2GtqIpCIi0mKLqEjEOedbRLZERBslS0Ql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"]],
LineBox[CompressedData["
1:eJxdlXlUjWkcxxtlaLnvfV+ttmiyRckkNJL5EjeiQw1TFJNWS6akbE1Nen7J
GnHINtY5sowsYymlDFP2tVIdYSrFhEHUyNa81/P8Nc8599zznnvu83t+n+/n
+b12IdF+4W0MDAyWqh/990D9usjQc6nn1DlnZFy/pq5LDJ0n6XpfmSojxzb1
qe8VBkQtOO8aK+PXGA+T8qsMZeydRU2djLXnm/oEXWfYnHD3hxZTBQkW2V7V
Nxiyqo02vZ5mBv3jklsMe2pifluVJMNAv+4wuI32/36NtRbPfNUKJQz5Y3V2
l8bIKN+rFihj8G06ddmlUsEFdfu1dxlsvYfMOjtIRpC+YAXDqqP5sbN7yhhT
vcQiu1I9b4+Uw5npCj73c4/hz8bmqruFCrqpx8+pYnhScdbUPEALE32BBwx1
YZfqT5Ro0axuf/4hQ6l13LncBaKfagab+TVWzWr/n/upYRi0o7CNhYWECP16
xKC07ttR012Gnx5QHYO9SeiEpAsSPPQFHqv9eP1S+KyDFg76Az9huO+w7a3z
ey3vp4Hh8eCS5qoYGXo8Fs9UPqlN37avlbF1i7qeMxyo88j3n6eB/vi2LxgS
+zcta3Ndxjx9gZcMTi6bk3xyFM6jkSFdk3m86pgZ7+c1Q98p0cu9rbTQ4/Fq
YqhJ9mugHInn28wwwHi12xxvhef7Vj3P5eLkjc4Kz7dF5RXn2XFnmuDxnmF8
/7x/U/1l3s8HhpFhya+fbpF4vp8YAi3H2Ph3F/kaEF7e9lyZniLxfL8ghGhr
/eZMEvkaEo5eWhXUaC1zHkaEd/GlQQcbJc7jS0LVJ+/wvy8IHu0IBaPH2pUH
SzxfY8K9PI+eJSTzfE0IT5KVyQ9DNTxfM8Iue8kx3kbhPDSE9B6tVDJY8NAS
/tgX6lqQZMp5yITccXbLO5sKHh0IORaWh3SzRL7mBJ3dmq6Ljsk8X0vCP7VN
jUqLwnlYEbotmxux+LiW87AhfGwN7djdz5Tz6ER4k3/rarSH8L0zYUVmAytR
+X/m0ZUQa3TrvrGj8MOWUDQzoT7STfjRndCu6GBK5Enhux3hqyxdt6WvZM7D
Xt3P+rHv5I8S59FD7T9vtHvbFJnz6EVobrAY1na1hvPoTZhbvvinoCwN5+FA
6GK0P9u3Vct59CVcMYpt3ual4TwcCY9nDr9/MVDifjip+1u+WG/wVvjhTKh7
rtkhuws/Bqj1mpj7c2OZ83BRfy8wjdKVmXEeroTIorTE6hMK5zGI0PXdXZeK
GxLnMYRw2TBwmPVM4YcbwcMrI6riR8FjKOHnc0UvpF4K98Od0Kn/8nFBIyR+
XzwItgHJRg6lZvy+DCe8H7mmjA6L+QHC7tm7ZixcbMp5jCCkXJMqrUZLnIcn
4WJeqlOfm2IejiIUxt+xu3JRy3noCPajoiLbJwkeXmo9qV+KJlHwGEs4ntNl
6rZ8Mz4/vAnw2tNx63aFz4/xhOB2u9eP1wq/fFR/KsJdPD8IvyYQaGZE5HdZ
gudE9f+bMsKHhgi//Aitrk7xBmOEX5MIC7Ntn5Z0MuY8J6s+6BKSHedrOU//
//EIIBhm5I7bXyp4TCVMzzpzaNzl9tyvQLX/YZPOVxSbcL+mET4ZZtL8NDFP
pxPmG7qg1krhfgWr/Z7YNPD21zLnOYMwIHlt3725MucZSrjpJpdtvCXmTxgh
+uSpq+uYMecZQYgaGf4m3EfDeUaqPmyPOF1ZLHjOIjiFp+2rdBbzeDbBR1dc
9MhD5jyjCEGrTvfL7KxwnnMJ9fUTneSeGs4zmtDw8XmJaz8xj2NUnseCh9o+
FH7GErwNG503HBHzK06dN9Tld1f1ffOZZzzBJlvqc8pK8FxIuLG1JbVFK+7r
IoLpu8krFm0Tfi4hKMuH94us13I/EwiaDubpMe1l7mciITFM+avxlZjnSYTU
RbNjn5iLPJIJB8oHbB6eYMLzWEo44lD9TViCuO+MYLQkriBkisiDCBt67fZp
LhX3fRnhVB+DUcW7RB5pBOMd19ft7KXlPFeo979254MQB8FzJcEzoyrATH0/
/wfkZ3V1
"]], LineBox[CompressedData["
1:eJxdW3dcz9/3R9HeA4kGUZRVKEmHrDJLyAiJjEhDpT5G6v2apLIVKXysMlKi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"]]}}, {}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{300.14, 1.0473189942805572`},
CoordinatesToolOptions:>{"DisplayFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& )},
FrameTicks->{{{{0.,
FormBox["1", TraditionalForm]}, {2.302585092994046,
FormBox["10", TraditionalForm]}, {4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {9.210340371976184,
FormBox[
TemplateBox[{"10", "4"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {11.512925464970229`,
FormBox[
TemplateBox[{"10", "5"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}, {{0.,
FormBox["\"\"", TraditionalForm]}, {2.302585092994046,
FormBox["\"\"", TraditionalForm]}, {4.605170185988092,
FormBox["\"\"", TraditionalForm]}, {6.907755278982137,
FormBox["\"\"", TraditionalForm]}, {9.210340371976184,
FormBox["\"\"", TraditionalForm]}, {11.512925464970229`,
FormBox["\"\"", TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}, {Automatic, Automatic}},
GridLines->{Automatic, None},
ImageSize->{757.34765625, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox[
"\"Natriumspektrum (eingezeichnet: Linien der Hauptserie)\"", Bold,
StripOnInput -> False], TraditionalForm],
PlotRange->{{300.14, 849.91}, {1.0473189942805572`, 10.964137642456047`}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]},
Prolog->{
Dashing[{Small, Small}],
RGBColor[1, 0, 0], {
LineBox[{{589.593, 0}, {589.593, 10000}}],
LineBox[{{588.996, 0}, {588.996, 10000}}],
LineBox[{{330.23, 0}, {330.23, 10000}}]}},
Ticks->{Automatic, {{0.,
FormBox["1", TraditionalForm]}, {2.302585092994046,
FormBox["10", TraditionalForm]}, {4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {9.210340371976184,
FormBox[
TemplateBox[{"10", "4"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {11.512925464970229`,
FormBox[
TemplateBox[{"10", "5"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}]], "Output",
CellChangeTimes->{{3.564573686949534*^9, 3.5645737375046997`*^9},
3.564575176185557*^9, 3.5646794202411737`*^9}]
}, Open ]],
Cell["\<\
Bevor wir mit der genaueren Auswertung der Spektrallinien beginnen, wollen \
wir die Eichung der Serien vornehmen.\
\>", "Text",
CellChangeTimes->{{3.564572719280842*^9, 3.564572742789796*^9}}],
Cell[CellGroupData[{
Cell["1. Nebenserie", "Subsection",
CellChangeTimes->{{3.564572700642894*^9, 3.564572701968307*^9}}],
Cell[TextData[{
"Eichung von ",
Cell[BoxData[
FormBox[
SubscriptBox["E",
RowBox[{"3", "p"}]], TraditionalForm]],
FormatType->"TraditionalForm"],
": Findung der Linie um 819 nm:"
}], "Text",
CellChangeTimes->{{3.564571115155786*^9, 3.564571163950431*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["plot", "819"], "=",
RowBox[{
RowBox[{"ListPlot", "[",
RowBox[{"data", ",",
RowBox[{"PlotRange", "\[Rule]", "Full"}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",",
RowBox[{"GridLines", "\[Rule]",
RowBox[{"{",
RowBox[{"Automatic", ",", "None"}], "}"}]}], ",",
RowBox[{"Epilog", "\[Rule]",
RowBox[{"{",
RowBox[{
RowBox[{"PointSize", "[", "Medium", "]"}], ",",
RowBox[{"Point", "[", "data", "]"}]}], "}"}]}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{"\"\\"", ",", "Bold"}], "]"}]}]}],
"]"}], "/.",
RowBox[{"data", "\[Rule]",
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium", "gesamt"], ",",
RowBox[{
RowBox[{"800", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "830"}], "&"}]}],
"]"}]}]}]}]], "Input",
CellChangeTimes->{{3.56456795116827*^9, 3.564568218613059*^9}, {
3.564568249139621*^9, 3.56456831624754*^9}, {3.5645697851255703`*^9,
3.564569805258689*^9}, {3.564570389555092*^9, 3.564570408618264*^9},
3.5645706232500963`*^9, 3.56457091363487*^9, 3.564570946962779*^9, {
3.564571180197857*^9, 3.564571190295884*^9}}],
Cell[BoxData[
RowBox[{
StyleBox[
RowBox[{"ListPlot", "::", "lpn"}], "MessageName"],
RowBox[{
":", " "}], "\<\"\[NoBreak]\\!\\(data\\)\[NoBreak] is not a list of numbers \
or pairs of numbers. \\!\\(\\*ButtonBox[\\\"\[RightSkeleton]\\\", \
ButtonStyle->\\\"Link\\\", ButtonFrame->None, \
ButtonData:>\\\"paclet:ref/ListPlot\\\", ButtonNote -> \\\"ListPlot::lpn\\\"]\
\\)\"\>"}]], "Message", "MSG",
CellChangeTimes->{3.564679420762068*^9}],
Cell[BoxData[
GraphicsBox[{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxFlntsU3UUxyvzQXAimhlBzQBR7AgqyuJ4Dc6adu36WG9v2fqgKmNunQ+w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"]]}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{800., 0},
Epilog->{
PointSize[Medium],
PointBox[CompressedData["
1:eJxFlntsU3UUxyvzQXAimhlBzQBR7AgqyuJ4Dc6adu36WG9v2fqgKmNunQ+w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"]]},
GridLines->{Automatic, None},
ImageSize->{757.546875, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 800-830 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{800.04, 829.96}, {0, 821.69}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{3.56457094777917*^9, 3.5645711907273493`*^9,
3.56467942080189*^9}]
}, Open ]],
Cell["Findung des Maximums:", "Text",
CellChangeTimes->{{3.564571212501087*^9, 3.564571217410902*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["natrium",
RowBox[{"816", ",", "824"}]], "=",
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium", "gesamt"], ",",
RowBox[{
RowBox[{"816", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "824"}], "&"}]}],
"]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.56456869317302*^9, 3.5645687721116447`*^9}, {
3.564569562444029*^9, 3.5645695690652847`*^9}, 3.5645706232621183`*^9,
3.5645709189768257`*^9}],
Cell[BoxData[
RowBox[{
RowBox[{
RowBox[{"peaks", "[", "points_", "]"}], ":=",
RowBox[{"Pick", "[",
RowBox[{
RowBox[{"points", "[",
RowBox[{"[",
RowBox[{"2", ";;",
RowBox[{"-", "2"}]}], "]"}], "]"}], ",",
RowBox[{"Differences", "[",
RowBox[{"Sign", "[",
RowBox[{"Differences", "[",
RowBox[{"points", "[",
RowBox[{"[",
RowBox[{"All", ",", "2"}], "]"}], "]"}], "]"}], "]"}], "]"}], ",",
RowBox[{"-", "2"}]}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.5645695724289923`*^9, 3.564569614911272*^9},
3.564570623265428*^9}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"peaks", "[",
SubscriptBox["natrium",
RowBox[{"816", ",", "824"}]], "]"}]], "Input",
CellChangeTimes->{{3.5645701684812183`*^9, 3.56457017578474*^9},
3.564570623266554*^9}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"816.47`", ",", "63.58`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"816.82`", ",", "58.95`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"818.23`", ",", "490.25`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"819.46`", ",", "821.69`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"820.33`", ",", "502.44`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"822.26`", ",", "190.39`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"823.31`", ",", "103.34`"}], "}"}]}], "}"}]], "Output",
GeneratedCell->False,
CellAutoOverwrite->False,
CellChangeTimes->{3.564570176217763*^9, 3.564570623268003*^9,
3.564570924625053*^9, 3.564679421140292*^9}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"816.47`", ",", "63.58`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"816.82`", ",", "58.95`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"818.23`", ",", "490.25`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"819.46`", ",", "821.69`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"820.33`", ",", "502.44`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"822.26`", ",", "190.39`"}], "}"}], ",",
RowBox[{"{",
RowBox[{"823.31`", ",", "103.34`"}], "}"}]}], "}"}]], "Output",
GeneratedCell->False,
CellAutoOverwrite->False,
CellChangeTimes->{3.564570176217763*^9, 3.564570623268003*^9,
3.564570924625053*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["peak", "819"], "=",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
RowBox[{"peaks", "[",
SubscriptBox["natrium",
RowBox[{"816", ",", "824"}]], "]"}], ",",
RowBox[{
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "2", "]"}], "]"}], "\[GreaterEqual]",
RowBox[{"Max", "[",
RowBox[{
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "2", "]"}], "]"}], "&"}], "/@",
RowBox[{"peaks", "[",
SubscriptBox["natrium",
RowBox[{"816", ",", "824"}]], "]"}]}], "]"}]}], "&"}]}], "]"}], "//",
"Flatten"}]}]], "Input",
CellChangeTimes->{{3.564569617229433*^9, 3.564569623045333*^9}, {
3.5645699487359037`*^9, 3.56456997915136*^9}, {3.564570037826385*^9,
3.564570072240521*^9}, {3.56457010519042*^9, 3.564570161201777*^9}, {
3.56457019930626*^9, 3.5645703014730043`*^9}, {3.564570340935561*^9,
3.564570341940363*^9}, 3.5645706232692957`*^9}],
Cell[BoxData[
RowBox[{"{",
RowBox[{"819.46`", ",", "821.69`"}], "}"}]], "Output",
GeneratedCell->False,
CellAutoOverwrite->False,
CellChangeTimes->{{3.564570149174239*^9, 3.564570161572982*^9}, {
3.564570203054481*^9, 3.5645703022450542`*^9}, 3.564570342342107*^9,
3.564570623270656*^9, 3.564570931401827*^9, 3.564679421291972*^9}],
Cell[BoxData[
RowBox[{"{",
RowBox[{"819.46`", ",", "821.69`"}], "}"}]], "Output",
GeneratedCell->False,
CellAutoOverwrite->False,
CellChangeTimes->{{3.564570149174239*^9, 3.564570161572982*^9}, {
3.564570203054481*^9, 3.5645703022450542`*^9}, 3.564570342342107*^9,
3.564570623270656*^9, 3.564570931401827*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["halfmax", "819"], "=",
RowBox[{
RowBox[{
SubscriptBox["peak", "819"], "[",
RowBox[{"[", "2", "]"}], "]"}], "/", "2"}]}]], "Input",
CellChangeTimes->{{3.564570315295597*^9, 3.564570361564098*^9},
3.5645706232718143`*^9}],
Cell[BoxData["410.845`"], "Output",
GeneratedCell->False,
CellAutoOverwrite->False,
CellChangeTimes->{{3.5645703270129557`*^9, 3.5645703620390244`*^9},
3.56457062327328*^9, 3.564570934523444*^9, 3.564679421390106*^9}],
Cell[BoxData["410.845`"], "Output",
GeneratedCell->False,
CellAutoOverwrite->False,
CellChangeTimes->{{3.5645703270129557`*^9, 3.5645703620390244`*^9},
3.56457062327328*^9, 3.564570934523444*^9}]
}, Open ]],
Cell["\<\
Graphische Bestimmung der FWHM:\
\>", "Text",
CellChangeTimes->{{3.564571223154625*^9, 3.564571227498331*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
SubscriptBox["plot", "819"], ",",
RowBox[{"Plot", "[",
RowBox[{
SubscriptBox["halfmax", "819"], ",",
RowBox[{"{",
RowBox[{"x", ",", "800", ",", "830"}], "}"}]}], "]"}], ",",
RowBox[{"PlotRange", "\[Rule]",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"817", ",", "821"}], "}"}], ",", "Automatic"}], "}"}]}], ",",
RowBox[{"PlotLabel", "\[Rule]", "None"}]}], "]"}]], "Input",
CellChangeTimes->{{3.564570417908477*^9, 3.564570546305595*^9},
3.564570623274548*^9, {3.564575739408951*^9, 3.564575743903111*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxFlntsU3UUxyvzQXAimhlBzQBR7AgqyuJ4Dc6adu36WG9v2fqgKmNunQ+w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"]]}}, {}}, {{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJxTTMoPSmViYGAwAWIQPVknCEh2OrwJ3CHXurbSwWWv9b8oJgT/m6/qn60s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"]]}}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{800., 0},
Epilog->{
PointSize[Medium],
PointBox[CompressedData["
1:eJxFlntsU3UUxyvzQXAimhlBzQBR7AgqyuJ4Dc6adu36WG9v2fqgKmNunQ+w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"]]},
GridLines->{Automatic, None},
ImageSize->{752.50390625, Automatic},
Method->{},
PlotLabel->None,
PlotRange->{{817, 821}, Automatic},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{
3.564570936361953*^9, {3.56457573069031*^9, 3.564575744164895*^9},
3.564679421510693*^9}]
}, Open ]],
Cell["\<\
Die untenstehenden Werte f\[UDoubleDot]r die Schnittpunkte wurden mittels der \
Drawing Tools ermittelt:\
\>", "Text",
CellChangeTimes->{{3.564571235179431*^9, 3.564571264791828*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["fwhm", "819"], "=",
RowBox[{
RowBox[{"Differences", "[",
RowBox[{
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "&"}], "/@",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"818", ",", "412.4"}], "}"}], ",",
RowBox[{"{",
RowBox[{"820.5", ",", "412.4"}], "}"}]}], "}"}]}], "]"}], "[",
RowBox[{"[", "1", "]"}], "]"}]}]], "Input",
CellChangeTimes->{{3.564570607589753*^9, 3.56457077166605*^9}}],
Cell[BoxData["2.5`"], "Output",
CellChangeTimes->{{3.564570757227414*^9, 3.564570772151889*^9},
3.564570971204027*^9, 3.5646794215380993`*^9}]
}, Open ]],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["\[Lambda]", "819"], "=",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{
SubscriptBox["peak", "819"], "[",
RowBox[{"[", "1", "]"}], "]"}], ",", "\"\\""}], "]"}]}],
";", " ",
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "819"], "=",
RowBox[{"Quantity", "[",
RowBox[{
SubscriptBox["fwhm", "819"], ",", "\"\\""}], "]"}]}],
";"}]], "Input",
CellChangeTimes->{{3.564570782534051*^9, 3.5645708347969313`*^9}}],
Cell["\<\
Es ergibt sich f\[UDoubleDot]r die Wellenl\[ADoubleDot]nge mit Fehler:\
\>", "Text",
CellChangeTimes->{{3.5645712708555593`*^9, 3.564571284958563*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "819"], "\[PlusMinus]",
SubscriptBox["\[CapitalDelta]\[Lambda]", "819"]}]], "Input",
CellChangeTimes->{{3.564570837669791*^9, 3.564570848271883*^9}}],
Cell[BoxData[
RowBox[{
TemplateBox[{"819.46`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], "\[PlusMinus]",
TemplateBox[{"2.5`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}]], "Output",
CellChangeTimes->{3.564570849514032*^9, 3.564570973672641*^9,
3.5646794216745777`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["Energy", "Rydberg"], "=", " ",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{"-", "13.605"}], ",",
RowBox[{"\"\\"", "*", "\"\\""}]}],
"]"}]}]], "Input",
CellChangeTimes->{{3.5645666675984583`*^9, 3.564566689918706*^9}, {
3.56456672803117*^9, 3.5645667957713346`*^9}, 3.5645706232777557`*^9}],
Cell[BoxData[
TemplateBox[{RowBox[{"-", "13.605`"}]},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox[
RowBox[{
StyleBox["\"e\"", Italic, StripOnInput -> False], "\[ThinSpace]",
"\"V\""}], "QuantityUnitTraditionalLabel"]}], ShowStringCharacters ->
False], "Unit: elementary charge volts"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",",
RowBox[{"\"ElementaryCharge\"", " ", "\"Volts\""}]}],
"]"}]& )]], "Output",
CellChangeTimes->{3.56467942180827*^9}]
}, Open ]],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["\[Lambda]", "1"], "[", "m_", "]"}], ":=",
RowBox[{"UnitConvert", "[",
RowBox[{
FractionBox[
RowBox[{
RowBox[{"Quantity", "[", "\"\\"", "]"}], "*",
RowBox[{"Quantity", "[", "\"\\"", "]"}]}],
RowBox[{
FractionBox[
SubscriptBox["Energy", "Rydberg"],
RowBox[{"m", "^", "2"}]], "-",
SubscriptBox["Energy",
RowBox[{"3", "p"}]]}]], ",", "\"\\""}], "]"}]}]], "Input",\
CellChangeTimes->{{3.564566914472084*^9, 3.56456697799282*^9},
3.5645670239164057`*^9, 3.5645706232789373`*^9, {3.5645713687387733`*^9,
3.5645713902898703`*^9}, {3.564571937246594*^9, 3.5645719422770433`*^9}, {
3.56457253046257*^9, 3.5645725372925797`*^9}}],
Cell[TextData[{
StyleBox["Mathematica",
FontSlant->"Italic"],
" ist anscheinend nicht unglaublich Algebra-begabt. Also l\[ODoubleDot]sen \
wir die Gleichung von Hand auf und erhalten"
}], "Text",
CellChangeTimes->{{3.5645718674172688`*^9, 3.564571889392169*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["Energy",
RowBox[{"3", "p"}]], "=",
RowBox[{
RowBox[{
FractionBox[
SubscriptBox["Energy", "Rydberg"],
RowBox[{"m", "^", "2"}]], "-",
FractionBox[
RowBox[{
RowBox[{"Quantity", "[", "\"\\"", "]"}], "*",
RowBox[{"Quantity", "[", "\"\\"", "]"}]}],
SubscriptBox["\[Lambda]", "m"]]}], "/.",
RowBox[{"{",
RowBox[{
RowBox[{"m", "\[Rule]", "3"}], ",",
RowBox[{
SubscriptBox["\[Lambda]", "m"], "\[Rule]",
SubscriptBox["\[Lambda]", "819"]}]}], "}"}]}]}]], "Input",
CellChangeTimes->{{3.564571892364292*^9, 3.564572011728475*^9}}],
Cell[BoxData[
TemplateBox[{RowBox[{"-", "3.0246653843593183`"}]},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox[
RowBox[{
StyleBox["\"e\"", Italic, StripOnInput -> False], "\[ThinSpace]",
"\"V\""}], "QuantityUnitTraditionalLabel"]}], ShowStringCharacters ->
False], "Unit: elementary charge volts"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",",
RowBox[{"\"ElementaryCharge\"", " ", "\"Volts\""}]}],
"]"}]& )]], "Output",
CellChangeTimes->{3.564572012999732*^9, 3.564679422837631*^9}]
}, Open ]],
Cell[TextData[{
"Der Fehler ergibt sich mit Fehlerfortpflanzung (",
Cell[BoxData[
FormBox[
RowBox[{
SubscriptBox["\[CapitalDelta]E",
RowBox[{"3", "p"}]], "=",
RowBox[{
RowBox[{"(",
RowBox[{
SubscriptBox["\[PartialD]",
SubscriptBox["\[Lambda]", "3"]],
SubscriptBox["E",
RowBox[{"3", "p"}]]}], ")"}], " ",
SubscriptBox["\[CapitalDelta]\[Lambda]", "3"]}]}], TraditionalForm]],
FormatType->"TraditionalForm"],
") zu:"
}], "Text",
CellChangeTimes->{{3.5645720418674917`*^9, 3.5645721702275877`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]Energy",
RowBox[{"3", "p"}]], "=",
RowBox[{
RowBox[{"UnitConvert", "[", "\[IndentingNewLine]",
RowBox[{
RowBox[{
FractionBox[
RowBox[{
RowBox[{"Quantity", "[", "\"\\"", "]"}], "*",
RowBox[{"Quantity", "[", "\"\\"", "]"}]}],
SuperscriptBox[
SubscriptBox["\[Lambda]", "m"], "2"]],
SubscriptBox["\[CapitalDelta]\[Lambda]", "m"]}], ",",
"\[IndentingNewLine]",
RowBox[{"\"\\"", "*", "\"\\""}]}], "]"}], "/.",
RowBox[{"{",
RowBox[{
RowBox[{
SubscriptBox["\[Lambda]", "m"], "\[Rule]",
SubscriptBox["\[Lambda]", "819"]}], ",",
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "m"], "\[Rule]",
SubscriptBox["\[CapitalDelta]\[Lambda]", "819"]}]}], "}"}]}]}]], "Input",\
CellChangeTimes->{{3.5645721776765203`*^9, 3.5645722395532503`*^9}, {
3.564572381565343*^9, 3.564572406041973*^9}}],
Cell[BoxData[
TemplateBox[{"0.004615840668527603`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox[
RowBox[{
StyleBox["\"e\"", Italic, StripOnInput -> False], "\[ThinSpace]",
"\"V\""}], "QuantityUnitTraditionalLabel"]}], ShowStringCharacters ->
False], "Unit: elementary charge volts"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",",
RowBox[{"\"ElementaryCharge\"", " ", "\"Volts\""}]}],
"]"}]& )]], "Output",
CellChangeTimes->{
3.564572240635598*^9, {3.564572402999853*^9, 3.5645724079601507`*^9},
3.564679423718196*^9}]
}, Open ]],
Cell["Also gilt:", "Text",
CellChangeTimes->{{3.564572303034895*^9, 3.564572307242251*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["Energy",
RowBox[{"3", "p"}]], "\[PlusMinus]",
SubscriptBox["\[CapitalDelta]Energy",
RowBox[{"3", "p"}]]}]], "Input",
CellChangeTimes->{{3.564572308688389*^9, 3.5645723685133533`*^9}, {
3.564572416373239*^9, 3.564572422380392*^9}}],
Cell[BoxData[
RowBox[{
TemplateBox[{RowBox[{"-", "3.0246653843593183`"}]},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox[
RowBox[{
StyleBox["\"e\"", Italic, StripOnInput -> False], "\[ThinSpace]",
"\"V\""}], "QuantityUnitTraditionalLabel"]}], ShowStringCharacters ->
False], "Unit: elementary charge volts"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",",
RowBox[{"\"ElementaryCharge\"", " ", "\"Volts\""}]}], "]"}]& )],
"\[PlusMinus]",
TemplateBox[{"0.004615840668527603`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox[
RowBox[{
StyleBox["\"e\"", Italic, StripOnInput -> False], "\[ThinSpace]",
"\"V\""}], "QuantityUnitTraditionalLabel"]}], ShowStringCharacters ->
False], "Unit: elementary charge volts"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",",
RowBox[{"\"ElementaryCharge\"", " ", "\"Volts\""}]}],
"]"}]& )]}]], "Output",
CellChangeTimes->{
3.564572323309682*^9, {3.5645723547210712`*^9, 3.5645723622150993`*^9},
3.5645724228610363`*^9, 3.564679424023499*^9}]
}, Open ]],
Cell["\<\
Damit k\[ODoubleDot]nnen wir die erste Nebenserie berechnen:\
\>", "Text",
CellChangeTimes->{{3.564572575704884*^9, 3.564572577752408*^9}, {
3.564572627373073*^9, 3.564572631324717*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["lines",
RowBox[{"side", ",", "1"}]], "=",
RowBox[{"Table", "[",
RowBox[{
RowBox[{
SubscriptBox["\[Lambda]", "1"], "[", "m", "]"}], ",",
RowBox[{"{",
RowBox[{"m", ",", "3", ",", "12"}], "}"}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.564572479174531*^9, 3.564572554386591*^9}, {
3.5645737498734617`*^9, 3.564573750635303*^9}, {3.564574166655786*^9,
3.5645741686065607`*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"819.4600000000002`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"570.2119182764324`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"499.8424638450096`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"468.4396070214304`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"451.3419611403639`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"440.8973886119363`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"434.01157919500275`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"429.2166883530642`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"425.736651916743`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"423.12734996642047`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{{3.5645724830499973`*^9, 3.564572560098235*^9},
3.5645741752914743`*^9, 3.564679429402968*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell["2. Nebenserie", "Subsubsection",
CellChangeTimes->{{3.5645727060984383`*^9, 3.564572707547062*^9}}],
Cell["\<\
Da die 589-nm-Linie dem \[CapitalUDoubleDot]bergang 3p \[Rule] 3s entspricht, \
k\[ODoubleDot]nnen wir formulieren:\
\>", "Text",
CellChangeTimes->{{3.564572831593416*^9, 3.564572849750531*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["Energy",
RowBox[{"3", "s"}]], "=",
RowBox[{
SubscriptBox["Energy",
RowBox[{"3", "p"}]], "-",
FractionBox[
RowBox[{
RowBox[{"Quantity", "[", "\"\\"", "]"}], "*",
RowBox[{"Quantity", "[", "\"\\"", "]"}]}],
RowBox[{"Quantity", "[",
RowBox[{"589", ",", "\"\\""}], "]"}]]}]}]], "Input",
CellChangeTimes->{{3.564572754590291*^9, 3.564572794570757*^9}}],
Cell[BoxData[
TemplateBox[{RowBox[{"-", "5.129660170777688`"}]},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox[
RowBox[{
StyleBox["\"e\"", Italic, StripOnInput -> False], "\[ThinSpace]",
"\"V\""}], "QuantityUnitTraditionalLabel"]}], ShowStringCharacters ->
False], "Unit: elementary charge volts"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",",
RowBox[{"\"ElementaryCharge\"", " ", "\"Volts\""}]}],
"]"}]& )]], "Output",
CellChangeTimes->{3.564572797239676*^9, 3.56467942994643*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]Energy",
RowBox[{"3", "s"}]], "=",
SubscriptBox["\[CapitalDelta]Energy",
RowBox[{"3", "p"}]]}]], "Input",
CellChangeTimes->{{3.564572805805956*^9, 3.564572813983481*^9}}],
Cell[BoxData[
TemplateBox[{"0.004615840668527603`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox[
RowBox[{
StyleBox["\"e\"", Italic, StripOnInput -> False], "\[ThinSpace]",
"\"V\""}], "QuantityUnitTraditionalLabel"]}], ShowStringCharacters ->
False], "Unit: elementary charge volts"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",",
RowBox[{"\"ElementaryCharge\"", " ", "\"Volts\""}]}],
"]"}]& )]], "Output",
CellChangeTimes->{3.564572814637574*^9, 3.564679430042644*^9}]
}, Open ]],
Cell[TextData[{
"Nun ist der Korrekturterm ",
Cell[BoxData[
FormBox[
SubscriptBox["\[CapitalDelta]", "s"], TraditionalForm]],
FormatType->"TraditionalForm"],
" nach ",
Cell[BoxData[
FormBox[
RowBox[{
SubscriptBox["E",
RowBox[{"3", "s"}]], "=",
FractionBox[
SubscriptBox["E", "Ry"],
SuperscriptBox[
RowBox[{"(",
RowBox[{"3", "-",
SubscriptBox["\[CapitalDelta]", "s"]}], ")"}], "2"]]}],
TraditionalForm]],
FormatType->"TraditionalForm"],
":"
}], "Text",
CellChangeTimes->{{3.5645728537102222`*^9, 3.564572862983679*^9}, {
3.5645729419415207`*^9, 3.564572995060875*^9}, {3.56457316377555*^9,
3.564573163775642*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]", "s"], "=",
RowBox[{"3", "-",
RowBox[{"Sqrt", "[",
FractionBox[
SubscriptBox["Energy", "Rydberg"],
SubscriptBox["Energy",
RowBox[{"3", "s"}]]], "]"}]}]}]], "Input",
CellChangeTimes->{{3.564572996572867*^9, 3.5645729984933243`*^9}, {
3.564573111096333*^9, 3.564573159124461*^9}}],
Cell[BoxData["1.3714354553287946`"], "Output",
CellChangeTimes->{{3.564573134398306*^9, 3.564573169671864*^9},
3.5646794305020323`*^9}]
}, Open ]],
Cell[TextData[{
"Der Fehler auf ",
Cell[BoxData[
FormBox[
SubscriptBox["\[CapitalDelta]", "s"], TraditionalForm]],
FormatType->"TraditionalForm"],
" ergibt sich mit Fehlerfortpflanzung zu:"
}], "Text",
CellChangeTimes->{{3.5645732570673943`*^9, 3.564573283586623*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]\[CapitalDelta]", "s"], "=",
RowBox[{
RowBox[{"-",
FractionBox["1",
RowBox[{"2", "*",
SubscriptBox["Energy",
RowBox[{"3", "s"}]]}]]}], "*",
RowBox[{"Sqrt", "[",
FractionBox[
SubscriptBox["Energy", "Rydberg"],
SubscriptBox["Energy",
RowBox[{"3", "s"}]]], "]"}], "*",
SubscriptBox["\[CapitalDelta]Energy",
RowBox[{"3", "s"}]]}]}]], "Input",
CellChangeTimes->{{3.564573287441766*^9, 3.564573322679263*^9}, {
3.564683929275092*^9, 3.564683932405683*^9}}],
Cell[BoxData["0.0007327185628629892`"], "Output",
CellChangeTimes->{{3.564573310200369*^9, 3.564573323867528*^9},
3.564679431476672*^9, 3.564683933579068*^9}]
}, Open ]],
Cell["\<\
Es ist nun die zweite Nebenserie:\
\>", "Text",
CellChangeTimes->{{3.564573335359775*^9, 3.564573339741847*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["\[Lambda]", "2"], "[", "m_", "]"}], ":=",
RowBox[{"UnitConvert", "[",
RowBox[{
FractionBox[
RowBox[{
RowBox[{"Quantity", "[", "\"\\"", "]"}], "*",
RowBox[{"Quantity", "[", "\"\\"", "]"}]}],
RowBox[{
FractionBox[
SubscriptBox["Energy", "Rydberg"],
RowBox[{
RowBox[{"(",
RowBox[{"m", "-",
SubscriptBox["\[CapitalDelta]", "s"]}], ")"}], "^", "2"}]], "-",
SubscriptBox["Energy",
RowBox[{"3", "p"}]]}]], ",", "\"\\""}], "]"}]}]], "Input",\
CellChangeTimes->{{3.564573341016364*^9, 3.564573389470194*^9}}],
Cell["\<\
Wir k\[ODoubleDot]nnen also die \[CapitalUDoubleDot]berg\[ADoubleDot]nge 3p \
\[Rule] 3s berechnen:\
\>", "Text",
CellChangeTimes->{{3.564573488925527*^9, 3.564573510106591*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["lines",
RowBox[{"side", ",", "2"}]], "=",
RowBox[{"Table", "[",
RowBox[{
RowBox[{
SubscriptBox["\[Lambda]", "2"], "[", "m", "]"}], ",",
RowBox[{"{",
RowBox[{"m", ",", "4", ",", "9"}], "}"}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.564573511348255*^9, 3.56457352119772*^9}, {
3.5645741735043573`*^9, 3.564574176942589*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"1174.5432736310113`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"622.6107529085386`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"518.8451675712981`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"477.73973361984105`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"456.65972517645577`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"444.247284879501`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564573524944686*^9, 3.564574180942795*^9,
3.564679434896614*^9}]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell["3. Nebenserie", "Subsubsection",
CellChangeTimes->{{3.564573540371664*^9, 3.564573541672763*^9}}],
Cell[TextData[{
"Aus ",
Cell[BoxData[
FormBox[
RowBox[{
SubscriptBox["E",
RowBox[{"3", "p"}]], "=",
FractionBox[
SubscriptBox["E", "Ry"],
SuperscriptBox[
RowBox[{"(",
RowBox[{"3", "-",
SubscriptBox["\[CapitalDelta]", "p"]}], ")"}], "2"]]}],
TraditionalForm]],
FormatType->"TraditionalForm"],
" k\[ODoubleDot]nnen wir ",
Cell[BoxData[
FormBox[
SubscriptBox["\[CapitalDelta]", "p"], TraditionalForm]],
FormatType->"TraditionalForm"],
" berechnen (analog zu oben):"
}], "Text",
CellChangeTimes->{{3.564573545384445*^9, 3.5645735731741257`*^9}, {
3.564574235874157*^9, 3.564574237906026*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]", "p"], " ", "=", " ",
RowBox[{"3", "-",
RowBox[{"Sqrt", "[",
FractionBox[
SubscriptBox["Energy", "Rydberg"],
SubscriptBox["Energy",
RowBox[{"3", "p"}]]], "]"}]}]}]], "Input",
CellChangeTimes->{{3.564573574216111*^9, 3.564573576679327*^9}, {
3.564574231873148*^9, 3.564574233515647*^9}}],
Cell[BoxData["0.8791468185487417`"], "Output",
CellChangeTimes->{3.5645742404026003`*^9, 3.564679435429427*^9}]
}, Open ]],
Cell["Der Fehler ergibt sich zu", "Text",
CellChangeTimes->{{3.56457443321799*^9, 3.56457443775292*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]\[CapitalDelta]", "p"], "=",
RowBox[{
RowBox[{"-",
FractionBox["1",
RowBox[{"2", "*",
SubscriptBox["Energy",
RowBox[{"3", "p"}]]}]]}], "*",
RowBox[{"Sqrt", "[",
FractionBox[
SubscriptBox["Energy", "Rydberg"],
SubscriptBox["Energy",
RowBox[{"3", "s"}]]], "]"}], "*",
SubscriptBox["\[CapitalDelta]Energy",
RowBox[{"3", "p"}]]}]}]], "Input",
CellChangeTimes->{{3.564574447533875*^9, 3.564574453676991*^9}, {
3.5646839378869743`*^9, 3.564683941684989*^9}}],
Cell[BoxData["0.001242648938207717`"], "Output",
CellChangeTimes->{3.564574454911644*^9, 3.56467943623063*^9,
3.564683942770406*^9}]
}, Open ]],
Cell["\<\
Es ist also die dritte Nebenserie\
\>", "Text",
CellChangeTimes->{{3.5645749313256397`*^9, 3.564574936683256*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["\[Lambda]", "3"], "[", "m_", "]"}], ":=",
RowBox[{"UnitConvert", "[",
RowBox[{
FractionBox[
RowBox[{
RowBox[{"Quantity", "[", "\"\\"", "]"}], "*",
RowBox[{"Quantity", "[", "\"\\"", "]"}]}],
RowBox[{
FractionBox[
SubscriptBox["Energy", "Rydberg"],
RowBox[{
RowBox[{"(",
RowBox[{"m", "-",
SubscriptBox["\[CapitalDelta]", "p"]}], ")"}], "^", "2"}]], "-",
SubscriptBox["Energy",
RowBox[{"3", "s"}]]}]], ",", "\"\\""}], "]"}]}]], "Input",\
CellChangeTimes->{{3.564574939573708*^9, 3.5645749531021433`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["lines",
RowBox[{"side", ",", "3"}]], "=",
RowBox[{"Table", "[",
RowBox[{
RowBox[{
SubscriptBox["\[Lambda]", "3"], "[", "m", "]"}], ",",
RowBox[{"{",
RowBox[{"m", ",", "4", ",", "5"}], "}"}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.564575082524919*^9, 3.564575096729978*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"332.14766186621347`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"286.43745521414087`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564575098759658*^9, 3.5646794373671417`*^9}]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell["Identifikation der Linien", "Subsubsection",
CellChangeTimes->{{3.5645751345299673`*^9, 3.564575137701931*^9}}],
Cell["\<\
Nun wollen wir versuchen, die gemessenen Linien mit Linien der verschiedenen \
Serien zu identifizieren. Dazu betrachten wir zun\[ADoubleDot]chst das \
Spektrum der starken Linien und zeichnen nacheinander die verschiedenen \
Serien ein:\
\>", "Text",
CellChangeTimes->{{3.564575138980311*^9, 3.564575154813027*^9}, {
3.5645751886345377`*^9, 3.564575210353364*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "1"}]]], "Input",
CellChangeTimes->{{3.5645753585937967`*^9, 3.564575364902192*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"819.4600000000002`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"570.2119182764324`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"499.8424638450096`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"468.4396070214304`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"451.3419611403639`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"440.8973886119363`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"434.01157919500275`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"429.2166883530642`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"425.736651916743`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"423.12734996642047`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.5645753653368*^9, 3.564679437636051*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"ListLogPlot", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium", "gesamt"], ",",
RowBox[{
RowBox[{"300", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "850"}], "&"}]}],
"]"}], ",",
RowBox[{"PlotRange", "\[Rule]", "Full"}], ",",
RowBox[{"GridLines", "\[Rule]",
RowBox[{"{",
RowBox[{"Automatic", ",", "None"}], "}"}]}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",", " ",
RowBox[{"Prolog", "\[Rule]",
RowBox[{"{",
RowBox[{"Dashed", ",", "Gray", ",",
RowBox[{"ll", "[",
SubscriptBox["lines",
RowBox[{"side", ",", "1"}]], "]"}]}], "}"}]}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{
"\"\\"",
",", "Bold"}], "]"}]}]}], "]"}]], "Input",
CellChangeTimes->{{3.564575216883559*^9, 3.5645752891752253`*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxFkntMk1cYhysLWNqv7YepWdSsDV6LyLzgBaLITwFr1BAKGswkWdZBEWWx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"]],
LineBox[CompressedData["
1:eJxFWHdAzev/LzTUmdkz3XAzc40GxUtWyKivkLhdrUtEnM86RqhcW8i8JV0j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"]], LineBox[CompressedData["
1:eJwtkn9M1HUYx0+MQQffH1dnbhiQ1+XOKDPPBpq33sO6QP4wL+ocs4jfM4JA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"]], LineBox[CompressedData["
1:eJxFlgtYjucfx5NMvYfnfV4Na1kpkxz6Dx3nuuI7h2nNYaHDkFMOOaWyyH3f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"]], LineBox[CompressedData["
1:eJxFW3lcjWsQrtBe57TLXkRRtki2GtqIpCIi0mKLqEjEOedbRLZERBslS0Ql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"]],
LineBox[CompressedData["
1:eJxdlXlUjWkcxxtlaLnvfV+ttmiyRckkNJL5EjeiQw1TFJNWS6akbE1Nen7J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"]], LineBox[CompressedData["
1:eJxdW3dcz9/3R9HeA4kGUZRVKEmHrDJLyAiJjEhDpT5G6v2apLIVKXysMlKi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"]]}}, {}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{300.14, 1.0473189942805572`},
CoordinatesToolOptions:>{"DisplayFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& )},
FrameTicks->{{{{0.,
FormBox["1", TraditionalForm]}, {2.302585092994046,
FormBox["10", TraditionalForm]}, {4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {9.210340371976184,
FormBox[
TemplateBox[{"10", "4"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {11.512925464970229`,
FormBox[
TemplateBox[{"10", "5"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}, {{0.,
FormBox["\"\"", TraditionalForm]}, {2.302585092994046,
FormBox["\"\"", TraditionalForm]}, {4.605170185988092,
FormBox["\"\"", TraditionalForm]}, {6.907755278982137,
FormBox["\"\"", TraditionalForm]}, {9.210340371976184,
FormBox["\"\"", TraditionalForm]}, {11.512925464970229`,
FormBox["\"\"", TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}, {Automatic, Automatic}},
GridLines->{Automatic, None},
ImageSize->{757.82421875, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox[
"\"Natriumspektrum (eingezeichnet: Linien der ersten Nebenserie)\"", Bold,
StripOnInput -> False], TraditionalForm],
PlotRange->{{300.14, 849.91}, {1.0473189942805572`, 10.964137642456047`}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]},
Prolog->{
Dashing[{Small, Small}],
GrayLevel[0.5], {
LineBox[{{819.4600000000002, 0}, {819.4600000000002, 10000}}],
LineBox[{{570.2119182764324, 0}, {570.2119182764324, 10000}}],
LineBox[{{499.8424638450096, 0}, {499.8424638450096, 10000}}],
LineBox[{{468.4396070214304, 0}, {468.4396070214304, 10000}}],
LineBox[{{451.3419611403639, 0}, {451.3419611403639, 10000}}],
LineBox[{{440.8973886119363, 0}, {440.8973886119363, 10000}}],
LineBox[{{434.01157919500275`, 0}, {434.01157919500275`, 10000}}],
LineBox[{{429.2166883530642, 0}, {429.2166883530642, 10000}}],
LineBox[{{425.736651916743, 0}, {425.736651916743, 10000}}],
LineBox[{{423.12734996642047`, 0}, {423.12734996642047`, 10000}}]}},
Ticks->{Automatic, {{0.,
FormBox["1", TraditionalForm]}, {2.302585092994046,
FormBox["10", TraditionalForm]}, {4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {9.210340371976184,
FormBox[
TemplateBox[{"10", "4"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {11.512925464970229`,
FormBox[
TemplateBox[{"10", "5"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}]], "Output",
CellChangeTimes->{{3.564575228224551*^9, 3.56457523714677*^9}, {
3.564575271869287*^9, 3.564575289872548*^9}, 3.564679437973546*^9}]
}, Open ]],
Cell["\<\
In der Tat lassen sich die ersten zwei Linien der ersten Nebenserie deutlich \
identifizieren. Wir gehen dazu \[UDoubleDot]ber, die gemessenen Wellenl\
\[ADoubleDot]ngen und Fehler dieser beiden Linien zu ermitteln:\
\>", "Text",
CellChangeTimes->{{3.5645753193956127`*^9, 3.5645753497624683`*^9}}],
Cell["\<\
Die Linie um 819 nm haben wir bereits vermessen und fanden:\
\>", "Text",
CellChangeTimes->{{3.5645753787678013`*^9, 3.564575389053466*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "819"], "\[PlusMinus]",
SubscriptBox["\[CapitalDelta]\[Lambda]", "819"]}]], "Input"],
Cell[BoxData[
RowBox[{
TemplateBox[{"819.46`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], "\[PlusMinus]",
TemplateBox[{"2.5`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}]], "Output",
CellChangeTimes->{3.5645754033191338`*^9, 3.564679438029697*^9}]
}, Open ]],
Cell["\<\
Wir betrachten nun den Bereich um 570 nm:\
\>", "Text",
CellChangeTimes->{{3.564575468385974*^9, 3.564575474359709*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{"areaPlot", "[",
RowBox[{"data_", ",", "\[Lambda]_", ",", "\[Epsilon]_"}], "]"}], ":=",
RowBox[{
RowBox[{"ListPlot", "[",
RowBox[{"points", ",",
RowBox[{"PlotRange", "\[Rule]", "Full"}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",",
RowBox[{"GridLines", "\[Rule]",
RowBox[{"{",
RowBox[{"Automatic", ",", "None"}], "}"}]}], ",",
RowBox[{"Epilog", "\[Rule]",
RowBox[{"{",
RowBox[{
RowBox[{"PointSize", "[", "Medium", "]"}], ",",
RowBox[{"Point", "[", "points", "]"}]}], "}"}]}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{
RowBox[{"\"\\"", "<>",
RowBox[{"ToString", "[",
RowBox[{"\[Lambda]", "-", "\[Epsilon]"}], "]"}], "<>", "\"\<-\>\"",
"<>",
RowBox[{"ToString", "[",
RowBox[{"\[Lambda]", "+", "\[Epsilon]"}], "]"}], "<>",
"\"\< nm\>\""}], ",", "Bold"}], "]"}]}]}], "]"}], "/.",
RowBox[{"points", "\[Rule]",
RowBox[{"Select", "[",
RowBox[{"data", ",",
RowBox[{
RowBox[{
RowBox[{"\[Lambda]", "-", "\[Epsilon]"}], "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]",
RowBox[{"\[Lambda]", "+", "\[Epsilon]"}]}], "&"}]}],
"]"}]}]}]}]], "Input",
CellChangeTimes->{{3.564577561933241*^9, 3.5645776801134453`*^9}, {
3.564577737454371*^9, 3.56457776729171*^9}, {3.564577798794713*^9,
3.564577807610067*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["plot", "570"], "=",
RowBox[{"areaPlot", "[",
RowBox[{
SubscriptBox["natrium", "gesamt"], ",", "570", ",", "10"}],
"]"}]}]], "Input",
CellChangeTimes->{{3.56457549621811*^9, 3.564575524911134*^9}, {
3.564577690091743*^9, 3.564577710606194*^9}, {3.5645778220696087`*^9,
3.564577833356854*^9}}],
Cell[BoxData[
GraphicsBox[{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJw1lG1Ik1EUx1ea1ArLWEVRSn2yqA/RC1IY54OU0+meZ5urdB800ZCILJLA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"]]}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{560., 0},
Epilog->{
PointSize[Medium],
PointBox[CompressedData["
1:eJw1lG1Ik1EUx1ea1ArLWEVRSn2yqA/RC1IY54OU0+meZ5urdB800ZCILJLA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"]]},
GridLines->{Automatic, None},
ImageSize->{744.98828125, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 560-580 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{560.07, 579.94}, {0, 557.19}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{
3.5645755280710487`*^9, {3.5645777114836597`*^9, 3.56457773946426*^9},
3.5645777697164097`*^9, {3.564577809560651*^9, 3.564577841723535*^9},
3.564679438253387*^9}]
}, Open ]],
Cell["\<\
Das Maximum ergibt sich graphisch zu\
\>", "Text",
CellChangeTimes->{{3.5645755678274403`*^9, 3.564575572494255*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["peak", "570"], "=",
RowBox[{"{",
RowBox[{"568.8", ",", "556.3"}], "}"}]}]], "Input",
CellChangeTimes->{{3.564575595942143*^9, 3.564575620477764*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{"568.8`", ",", "556.3`"}], "}"}]], "Output",
CellChangeTimes->{{3.564575604451845*^9, 3.56457562096771*^9},
3.564679438317279*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["halfmax", "570"], "=",
RowBox[{
RowBox[{
SubscriptBox["peak", "570"], "[",
RowBox[{"[", "2", "]"}], "]"}], "/", "2"}]}]], "Input",
CellChangeTimes->{{3.5645756261318502`*^9, 3.5645756486532907`*^9}}],
Cell[BoxData["278.15`"], "Output",
CellChangeTimes->{3.5645756491189938`*^9, 3.5646794383636713`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
SubscriptBox["plot", "570"], ",",
RowBox[{"Plot", "[",
RowBox[{
SubscriptBox["halfmax", "570"], ",",
RowBox[{"{",
RowBox[{"x", ",", "550", ",", "580"}], "}"}]}], "]"}], ",",
RowBox[{"PlotRange", "\[Rule]",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"567", ",", "571"}], "}"}], ",", "Automatic"}], "}"}]}], ",",
RowBox[{"PlotLabel", "\[Rule]", "None"}]}], "]"}]], "Input",
CellChangeTimes->{{3.5645756513209667`*^9, 3.564575719306816*^9}, {
3.564575750092252*^9, 3.564575752934125*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJw1lG1Ik1EUx1ea1ArLWEVRSn2yqA/RC1IY54OU0+meZ5urdB800ZCILJLA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"]]}}, {}}, {{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJxTTMoPSmViYGAwAWIQPVkniIHBoNEhDQSSCh1c9lr/izJC8L/5qv7ZaoLg
Lwq+lHHREsF/H1NsOM0Owc+OX8Xu7IzgG7jt9gv1QPCnGxz4KOCL4Lv/n8dq
FITgqx0XVrcOR/CXT6pZ8jYawS902j+JNRHBv/P1651jqQh+2aJDJgVZCH6k
cebfunwE/95xZiXzEgR/jUPF9pBKBH/lpqaoqDoE30OjMZKzGck/TZEnZTsQ
/J33Vafe7kHwuxXPXPw3EcHvieGQ4ZqO4OvPtji0bzaCL73P6eaNBUj2P3Hw
mbMUwU9juXrGfRWCn8PhvC9iPYIvLLCUW3gLgs/858FJo50IvtLDTVOt9iH4
j09W7H19CMF/O00ijOkEgj8zfY3XoTMIfonhNZ+si0jxd//m/vJrCH7MxIt9
ercR/Cz1xee8HiD4UgczsgSeIvg/g48I73uJ4Cue/ql78R2C/9pVeUnvZwT/
3xK17vU/EHz7v/vrd/5F8l+k74UcpiY432/mlomt7Ai+zF3+9e48CL6kFOOt
jwIIfrz1mVJGMQTfPaE7d5cUgn9r5hyzWFkEP/fy2v//5RF8AIxtYfk=
"]]}}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{560., 0},
Epilog->{
PointSize[Medium],
PointBox[CompressedData["
1:eJw1lG1Ik1EUx1ea1ArLWEVRSn2yqA/RC1IY54OU0+meZ5urdB800ZCILJLA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"]]},
GridLines->{Automatic, None},
ImageSize->{742.73828125, Automatic},
Method->{},
PlotLabel->None,
PlotRange->{{567, 571}, Automatic},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{
3.564575719904661*^9, 3.56457575316851*^9, {3.564577836269389*^9,
3.56457783921478*^9}, 3.564679438431347*^9}]
}, Open ]],
Cell["\<\
Graphisch ergibt sich die FWHM zu:\
\>", "Text",
CellChangeTimes->{{3.564575775445579*^9, 3.564575779771328*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{"fwhm", "[", "points_", "]"}], ":=",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{
RowBox[{"Differences", "[",
RowBox[{
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "&"}], "/@", "points"}], "]"}], "[",
RowBox[{"[", "1", "]"}], "]"}], ",", "\"\\""}],
"]"}]}]], "Input",
CellChangeTimes->{{3.5645779962320747`*^9, 3.56457802558064*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "570"], "=",
RowBox[{"fwhm", "[",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"567.8", ",", "277.7"}], "}"}], ",",
RowBox[{"{",
RowBox[{"569.6", ",", "277.7"}], "}"}]}], "}"}], "]"}]}]], "Input",
CellChangeTimes->{{3.564570607589753*^9, 3.56457077166605*^9}, {
3.564575805587274*^9, 3.564575822136895*^9}, 3.5645780081341143`*^9, {
3.564578041872158*^9, 3.5645780503741493`*^9}}],
Cell[BoxData[
TemplateBox[{"1.8000000000000682`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{{3.564570757227414*^9, 3.564570772151889*^9},
3.564570971204027*^9, 3.564575824451335*^9, 3.5645780509582872`*^9,
3.564679438644403*^9}]
}, Open ]],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["\[Lambda]", "570"], "=",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{
SubscriptBox["peak", "570"], "[",
RowBox[{"[", "1", "]"}], "]"}], ",", "\"\\""}], "]"}]}],
";"}]], "Input",
CellChangeTimes->{{3.564570782534051*^9, 3.5645708347969313`*^9}, {
3.564575830738654*^9, 3.564575841856626*^9}, 3.564578058375403*^9}],
Cell["\<\
Es ergibt sich f\[UDoubleDot]r die Wellenl\[ADoubleDot]nge mit Fehler:\
\>", "Text",
CellChangeTimes->{{3.5645712708555593`*^9, 3.564571284958563*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "570"], "\[PlusMinus]",
SubscriptBox["\[CapitalDelta]\[Lambda]", "570"]}]], "Input",
CellChangeTimes->{{3.564570837669791*^9, 3.564570848271883*^9}, {
3.564575844600513*^9, 3.564575847001099*^9}}],
Cell[BoxData[
RowBox[{
TemplateBox[{"568.8`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], "\[PlusMinus]",
TemplateBox[{"1.8000000000000682`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}]], "Output",
CellChangeTimes->{3.564570849514032*^9, 3.564570973672641*^9,
3.564575847519127*^9, 3.564578060656035*^9, 3.564679438716855*^9}]
}, Open ]],
Cell["\<\
Nun betrachten wir die zweite Nebenserie.\
\>", "Text",
CellChangeTimes->{{3.5645780705875683`*^9, 3.5645780748114347`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "2"}]]], "Input",
CellChangeTimes->{{3.5645759007641068`*^9, 3.564575902398425*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"1174.5432736310113`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"622.6107529085386`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"518.8451675712981`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"477.73973361984105`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"456.65972517645577`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"444.247284879501`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564575903560379*^9, 3.564679438790163*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"ListLogPlot", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium", "gesamt"], ",",
RowBox[{
RowBox[{"300", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "850"}], "&"}]}],
"]"}], ",",
RowBox[{"PlotRange", "\[Rule]", "Full"}], ",",
RowBox[{"GridLines", "\[Rule]",
RowBox[{"{",
RowBox[{"Automatic", ",", "None"}], "}"}]}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",", " ",
RowBox[{"Prolog", "\[Rule]",
RowBox[{"{",
RowBox[{"Dashed", ",", "Gray", ",",
RowBox[{"ll", "[",
SubscriptBox["lines",
RowBox[{"side", ",", "2"}]], "]"}]}], "}"}]}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{
"\"\\"",
",", "Bold"}], "]"}]}]}], "]"}]], "Input",
CellChangeTimes->{{3.564575914661072*^9, 3.564575917527017*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxFkntMk1cYhysLWNqv7YepWdSsDV6LyLzgBaLITwFr1BAKGswkWdZBEWWx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"]],
LineBox[CompressedData["
1:eJxFWHdAzev/LzTUmdkz3XAzc40GxUtWyKivkLhdrUtEnM86RqhcW8i8JV0j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"]], LineBox[CompressedData["
1:eJwtkn9M1HUYx0+MQQffH1dnbhiQ1+XOKDPPBpq33sO6QP4wL+ocs4jfM4JA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"]], LineBox[CompressedData["
1:eJxFlgtYjucfx5NMvYfnfV4Na1kpkxz6Dx3nuuI7h2nNYaHDkFMOOaWyyH3f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"]], LineBox[CompressedData["
1:eJxFW3lcjWsQrtBe57TLXkRRtki2GtqIpCIi0mKLqEjEOedbRLZERBslS0Ql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"]],
LineBox[CompressedData["
1:eJxdlXlUjWkcxxtlaLnvfV+ttmiyRckkNJL5EjeiQw1TFJNWS6akbE1Nen7J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"]], LineBox[CompressedData["
1:eJxdW3dcz9/3R9HeA4kGUZRVKEmHrDJLyAiJjEhDpT5G6v2apLIVKXysMlKi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"]]}}, {}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{300.14, 1.0473189942805572`},
CoordinatesToolOptions:>{"DisplayFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& )},
FrameTicks->{{{{0.,
FormBox["1", TraditionalForm]}, {2.302585092994046,
FormBox["10", TraditionalForm]}, {4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {9.210340371976184,
FormBox[
TemplateBox[{"10", "4"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {11.512925464970229`,
FormBox[
TemplateBox[{"10", "5"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}, {{0.,
FormBox["\"\"", TraditionalForm]}, {2.302585092994046,
FormBox["\"\"", TraditionalForm]}, {4.605170185988092,
FormBox["\"\"", TraditionalForm]}, {6.907755278982137,
FormBox["\"\"", TraditionalForm]}, {9.210340371976184,
FormBox["\"\"", TraditionalForm]}, {11.512925464970229`,
FormBox["\"\"", TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}, {Automatic, Automatic}},
GridLines->{Automatic, None},
ImageSize->{745.1640625, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox[
"\"Natriumspektrum (eingezeichnet: Linien der zweiten Nebenserie)\"",
Bold, StripOnInput -> False], TraditionalForm],
PlotRange->{{300.14, 849.91}, {1.0473189942805572`, 10.964137642456047`}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]},
Prolog->{
Dashing[{Small, Small}],
GrayLevel[0.5], {
LineBox[{{1174.5432736310113`, 0}, {1174.5432736310113`, 10000}}],
LineBox[{{622.6107529085386, 0}, {622.6107529085386, 10000}}],
LineBox[{{518.8451675712981, 0}, {518.8451675712981, 10000}}],
LineBox[{{477.73973361984105`, 0}, {477.73973361984105`, 10000}}],
LineBox[{{456.65972517645577`, 0}, {456.65972517645577`, 10000}}],
LineBox[{{444.247284879501, 0}, {444.247284879501, 10000}}]}},
Ticks->{Automatic, {{0.,
FormBox["1", TraditionalForm]}, {2.302585092994046,
FormBox["10", TraditionalForm]}, {4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {9.210340371976184,
FormBox[
TemplateBox[{"10", "4"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {11.512925464970229`,
FormBox[
TemplateBox[{"10", "5"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}]], "Output",
CellChangeTimes->{3.564575918498098*^9, 3.56467943913735*^9}]
}, Open ]],
Cell["\<\
Offensichtlich (und wie erwartet) lassen sich aus diesem Diagramm keine \
Linien der zweiten Nebenserie eindeutig zuordnen.\
\>", "Text",
CellChangeTimes->{{3.564575929307269*^9, 3.564575951976099*^9}}],
Cell["\<\
Betrachten wir also nun die dritte Nebenserie.\
\>", "Text",
CellChangeTimes->{{3.564578079387261*^9, 3.564578083971973*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "3"}]]], "Input",
CellChangeTimes->{{3.564575967752542*^9, 3.564575969585985*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"332.14766186621347`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"286.43745521414087`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564575970264208*^9, 3.5646794391951723`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"ListLogPlot", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium", "gesamt"], ",",
RowBox[{
RowBox[{"300", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "850"}], "&"}]}],
"]"}], ",",
RowBox[{"PlotRange", "\[Rule]", "Full"}], ",",
RowBox[{"GridLines", "\[Rule]",
RowBox[{"{",
RowBox[{"Automatic", ",", "None"}], "}"}]}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",", " ",
RowBox[{"Prolog", "\[Rule]",
RowBox[{"{",
RowBox[{"Dashed", ",", "Gray", ",",
RowBox[{"ll", "[",
SubscriptBox["lines",
RowBox[{"side", ",", "3"}]], "]"}]}], "}"}]}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{
"\"\\"",
",", "Bold"}], "]"}]}]}], "]"}]], "Input",
CellChangeTimes->{{3.564575980344696*^9, 3.5645759837440557`*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxFkntMk1cYhysLWNqv7YepWdSsDV6LyLzgBaLITwFr1BAKGswkWdZBEWWx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"]],
LineBox[CompressedData["
1:eJxFWHdAzev/LzTUmdkz3XAzc40GxUtWyKivkLhdrUtEnM86RqhcW8i8JV0j
pLJnkS1kyyxKhYZERlT8PvW89Tv/+KNzXp7XeI/nsfKd7RFQz8DA4IihgUHN
v7WfOB18jEZXCIdViLz42WbyLh16TMC4NTot5jdOHpYbr0O5U3aCf7wKZo93
hTgn6DB8f3JChxg1/t0mf5J0uHD1yadcrQadJssIh3RoeUxbz9pEg5qfzzum
Q5xh/KTSrgrsDnE2e3xSh8gOUZ8WXFagV80nRYeHi8MsPkoKWC4tdj91Toe2
qi5hyoUa1Py88UUd1hzdrm20wBTONQe4osOcNUXxjYeqcStD/qTroBgav+H4
OgVOtZUBMnQIjqqqKBqrhav88+Q7OtzqExG10dwcNcc3e6BDp+zcpH7nVAis
+TzSYXzXnPxmnlp41AA81eHb6XGFVu4a1Px8WLYOhgtGl3fKNMecmgPk6BBg
fCE//bQCtfrl63Cq8vDs3oEKlLjLAG90OFv8R6D9fQ3Tr0iHUc8OvNw+T8n0
K5XPl/v3iK5XFfhiIwv2QQcu6/aufd5a1NBv+1mHIccmvPIYq2b6VejwKD78
Sn6pOdOvUgd+74Rj258omF8/dYjx1UVcu0n61eNwYuuy9kd/mjH9jDm8jrDq
YF6lZfo15FBe4elbstCI+aXg0G/V3lcux0k/jfz98DDDM7eUTL9GHNp3vhB9
pUDJ9GvGYXSTA52aepB+LTlscq3cqLPTMP3acCid3tnugUrF9LPi0Ll1K01c
mwZMv/YcTN2Us25eUzL9bDgk56ydXxiuYvp14RDT7LJtgqeC6dedQ1jQ8XPD
e5B+PTn4R8ZED22sYfnrw2F5WJZvrxQN08+Rg9+G6r6pBqSfE4eAd5rypuvV
TL8BHGba7xxVtl3F8jeIwzXlyo0JMxW4JMsZOZSDZlXu1S6RKqbfCA4+H9Vd
vRYpmH6jOPRXpq5cukzF8jeWwwH/JyPGzlehRk6bcVydH7X6TZD90IWVfdZo
mH7eHAIXn55+T6Nm+v3JwWhi+YANzkqWh6myvp6iQT6ITwCH1Gk3Ol8drmb6
TeOQmLInLi+J9JvJ4WIf7/tG6xuyPMzmsNgutEUalCwPczn8PFsVdbW7hukn
cEjLsDNUtmjI9NPLeObhkQ1TVSwPCzicPXNie/EeysNiDg5Dos9+Xk55COew
rkmUbmWwmum3jMO+Tnca/PehIdNvJYeXbRwWX7emPKzhsKrAf/uHH2qWh/Xy
eRQf7rv4KRifjRzy7PcZ+ktqpt9WDrlJd0IihmhZHqI58IaTO9w3bMTyEMvB
u36rXmM6N2J8dnJYnZ/mf7CkEeOzh8O35KrO7f5pxPjs47A2hE/w/l9jlodE
OU8PKv/KrLZgeTjIwepwVXHn7RaMz1EOg4N6drJWaRmfExza2SfbWc5QMz6n
OdiWVzb5/lTD8nCWQ/WBLqeXmlA/Oi9/v+MxdeBIDeNzmYPbzujUKV8p39c4
HOyaZ+5zz5zxucFhc6uwuXYvNCwPtzk0D1qfsXMD5eEeh6I/l2+LbaZkecjk
IGWHpkVZKhifJ5zcv0wMXMZTf33OIX9v6FA3Fw3j85LDg+JTd7VtVSwPrzg8
vrWr8UULJcv3aw4nrfdXT0wgPoUcBj63e/LASsv4lMjnKxuRNvUu8SmT/fQb
OqW0lZLxKefguWHlvdFx1B++coj4n0oo3kJ8vnNYsG9Nb9tkNeNTzWGhSeyl
bYkqxseQR2licutj7VWMTwMem4+uXHuuiZbxMeGxc8uhbxvD1Szf5jwcsste
5Oo0jI+Kx+ncVcEPjImPBY+g0PsPlTzxacJjzNugXQnBGsanOY+JU5vuGmnc
gPFpzaP/225/m8t4tXwseVh3eD/GuVDB+FjzcLlz5VSLICXj05FH0wqjn2sW
aBifTjwU9k1+Fp5RMD7deHxY9eRmhifNvx48sjtFV9hWUv/pxePZndmLHF5R
/djz6PVP6ru8F+RPX75uPtXy6S9/v1dob+OxSsZnII8TFf9xVvOVjM9gHn2q
rA/tnUn+uPJI+WN3U4XChPEZySN1wuY4/xPUT0fzsOj7w5kL1TI+HjwOTJrr
btlRxfh4ynyT1o695Ux8vHj0OPWPl4UP8ZnMY5Hr3TTFDRXj48PjyH9Xm/BD
KG9+PHzaHDySeID6QSAP6aRhQUUzqp/pPDLt8/fH/kb9NFj+vuWOhfEbqX5C
eHwpNDPoWGzO+HCy/2Em9kefUv2IPNL7BUYXLTNjfObxuJ79pjTa2IL1g1CZ
394mDnk5StYPlvAwsD+UVr++kvWDCB52Xdrafz9O82G5fJ653vWt1mkYn1U8
xi9p8mZwT/InkoftMXftzjwN47OBx96shfr3q4jPJvnvNwzNdrRVsv62jYfp
8sPOY05Rv47h4TfLs17ZNA3r13E8BsY+uu12QEP7Fo+Dt+uHWOarmf/xPKqK
I/raTaR+ncDjdYG0ttdfv/YtWc9D1gvPPFXQvsVjDp+u6/pSzfr1MR7T4mf4
zgqgfn2SR4cG1zJ3uRizPKfw2HByfLjfIMrzOR7BzokPj1dQv7kg5/mRj0uY
O/l/hcegcVV2RkOpPtNlv7rMP3zrk4rxyeCBz7ueT/pOfO7w6N3xsd+E3TR/
7vMoeKeM1fSjfe6RrBfvnD2vKdXnUzl/21s6BKWQ/1k8DJuP0i/9SPMghwfX
oVH/dyvqM//zeLQtzkDSNyXz/zWP4oBN49T3TZheRTyiSwYurXZTMb3e8djy
LX7uj4VqplcZj7uz16deGkd5/iTXn5/145BNVJ9feRQmODccodYy/yt5rHGq
2r+7QM38/8HD9cuO0/7zaL4ZCnX7bK3/RgL+O5k0qF8i+W8qoNUzxeLexuS/
QsBnfZjpj5mkl1rAii1F4Q9GaJleFgLUVUmRj3pomV5NBZxWGw4KX077bwsB
m+P7RIpnzJlerQXsnb878p19Q6ZXOwFHTrWeFJ1K+6i1gFzO5mr/DOrPvwuY
+4yfYONM+1tnAZO6rHe9LZkz/7sJWNjDe7/1IerPfwgIt2l0/2N3qpfeAjqc
mOOVrab+bC+g3ozx03PeU730E3Dq9L7yf3+n+dlfwFrlliNZhxVMr4ECSuIi
hj74tV8Pkc8bOet/wztrmF6uQl3+a/VyE9B03rodCRl0PxkjIObPvV/fBNG+
6yEgIHpbieKjguk1XkAvo1ibLSXUL70ETL5x9fhDG1Om12QBSVmrjW4tUTK9
/hJQ/X7nyS16NdPLT0DwiJ8jwzIasnwFCvBMM2sxdjztn0ECVqatvLliNe2f
wQJSG76pdhRpX5sjYHUzD676C81nTkBQp9lWBYeUTC9RwLL0tkb9vEyZXvPl
87U99T61gvpLqADNZceQZ2rK1xIBiua2OXeLSK+lAu7kO3marCG9lst6fQ1b
Z22pZXqtFsD/lRBxpZDyFSnANHMYkt9Sf9kgYP2jBnu79qR63Czn02lqavNo
uh9sE5BQWfDo9UeaLzECPm2tvDy3lZbpFSfg33rVmZZbqR53CbBtkdumca6a
7ovyeUbW09Wrp6b+JcD1kv7CTGvSK0nA0FHfm3e/RfV4SMChPSUntg0wov4l
IGRPVpvLH9TUvwR8H/VvVO5vtD+nCAhtfiDFPd2Y+peAjIdLZ59oQPP4goC7
BzRdXsSpqX8JuHg2rvDif2bUvwTkLFi7emIjqvebAlKSphj7vjJnftwR8KjN
3ehNfaje7wvY7esotF6vZH5kChi+Lfik6tS3AbV+PBVwbva38ncq8iNLQEdD
34QDX9TMjxwBQ54/9LjyiPaXPAE2fveONXtM+8trAQ3Sujj9a0fzvkjAdosZ
X9LKzZgf7wQEbvAIvnmT7htlAvqtzy7NV9C8/ySg//wllbmjzJgfXwW4K9KO
x2SZMj++C/jtT69OCUpT5scPAfFJjqpex2meGIp1/aHWjwYi9rbf2WbUW5on
piJ6TJsyyDHQnPlhLkLl6fa54yAz5odaxM6i9gbfdtC+ZyEi68eIgMJL5EcT
EfucvJxellN9tBDRsyjWI3gF9d/WIp6sXlHo4El+WIo4dtmh3H0f9RNrEZqM
Uz18Xcxo/xJhOcMrtfKMlvYvESVh6W6unoTfTYRtSZP+xb/we4gIWfxJmG1B
872XiGXOAXf6tVPS/iWiKOn3ecNV5HdfsW4+1/rtLKIidvV372i6vwwUcbBT
rqP/fPJ7sIjYkmaFfbfRfcxVxIrEky0cW9Zjfo8U0W3CoqqrBSbM79EivFzm
jR46nu7nHiIcU/N9vFNoHnqKdftFrd8T5b9nvXdwnEv3y8ki3jcpMR7Ik98+
/+9frd++IjZo1vnnpNH+ECjix9GIWXM/0D40XcSmWcHdbSabMr9nivj4ZZFe
DKB5GyKiaXL+sfjXtG/pRJwUXk4znkp5EmR+zd64e1bTe9A8EZmlE++/aqxl
+AtF/F4Z4eV2jvaTxSJct4Z2HGurYXmKECFumOTWJlPD8rRMxNP2LVr2Cab5
tErEl9kh0QN703xaK2L95ymWtmtoPq0X0WqJ/4/wc1Tfm0QYfXB7rL9D9b1V
RJ8xx/McDMjvaPnvB6NSHr8i/B0iTDLPnu/7H+2/O0VMFR5WttxI++8eWe/S
Y0dP7aD5t1+E87D1M5/MojwlynpO6Pqi1M+M7o8iRtT/aBt1kPbfoyIKr00d
Imw1pPujiCN8z6Sp5jT/TotIT7Z/E9+C8nRWhDDRq9wjh/J0XsS/BuUX/OdR
/7gswmdg/Y4tS80Y/jUR0d9XrFqfSPPihogB16/ntx9nzvBvyX7dCGsfYGLO
8O+JuNFg7pfoYUqG/7BGv2G7lj6l+fpERHX9uH0ffypZXp/L/CbyZYErzFhe
X8j6efv9dD9H8+KViHelw4MWvqJ5USDC4e7Kda3XmLG8vhUxx/9cfNUSOn+J
iD3wW5Iv0Dx6L6KF05XmP81pfn8UUfniks+gYsL/IsJQ7PtGf9iE4X8TkXRo
xxnVY9p3qkTEGBt9VT+kejCQUOW65eCgfHOW1/oSloQkv1yRTfPbWMItn0tu
kyPofmgmITd0m2d5AO0HSgl7+28oqfCieaeRsFzhHpx9nvAbS9CKQdI1W9oP
mkn4Ubr8WT5UDL+lBMU039zMJKq3thIOXthabbuY3lesZPwBjz8bjKR6bi/B
veOU/HVzqN5sJExTjArbfZTwu0io/1ZxpiiB3l+7S+i8+nbB6ulUbz0ldGz4
0bFBBeH3kWB7Jcusiqd56iBBavfyQQbo/cZJwsmt9QeHxRL+AAn/RHkb8abU
L1wkREx42y2xG+EPlTBFcT6vXE/783AJPp3a7/g2S8vw3SSkzTHcfH+EGcMf
K8HXqOuTvoOpnv8noVG1/fWSnnT+8VLd/l+LP0k+X/cDXhYtaf5MkbCoe9n1
axyd/y8JHhF9J0fnmDB8f6luftbi/y3BvnN8kW851fMMCQu9Wjj4GxP+LAkb
Y6PVkTvMGP4cCX+c1NhmzaP3LU6C4YXTdvu1NN8kCQdc71dPWkPnny9hZPeI
JQVHCX+RBJuwiJil7Qg/TMLwshbLbnWlfWaphMSO4onuefT+vVyqm3+1+Ksl
TDx7I854MJ0/UsI3l3TTH+H0vhAlIbt7w8bNVysY/mYJASOPf7NcRfpvk/lZ
ddb13kr6xEgY+6YoorgV+RsnoVn41yS/QlOGv0tC6vChVumutC/tldBHajTP
/s9f90kJ+wPvCLv++LWPSTh7LS/0puWv93sJ+Y6pq+f/pPMfk8+Pz98+2aho
H5PQusG+ZPefatrHpLr7SC3+Oanu/asW/4KEzDmvI1wWU34uy/m1+C0o57iK
4adLuPxquo+zNb3X35RgtGjfM/el9D52W8KYMQX+P37V1325vuo5BI3PJX8z
JRSXz7Gzb2LC8J9IOOc37Znem86fJcEiP93Kdxi977yUUNLb6a59fXqffyVh
6cxFVuW/8vlawjjLLa/Lp9P5CyX0SD7ZOOYH5adEwsXQaU5lodQfyiSE5zsE
So6EXy7nYUxUbr6e8L9IcLGJvXjDhfbh7xKCLq4dsySS8l8t65FiucX+PPU3
Az3exCTuu+dN+10DPRZ/f96m/0DCN9HD5EpC2N/HCd9Mj+cpzh0eRND5VXqY
v27dJsK7IetvWj3SFWkvjiyk/tZYj0kH2+8b/2t/bK6ve1+sxW+lx/5PX/Ki
9tA+31YPR0vhUf8ZXwbU9s/f9OjzoqCod7CK4XfQw1C5+Mpk0PuajR5jsn4+
7NuT7gtd9XV5qe3/tnoc/6Cuzgyn/benHr0x5NDaibQP2enhJZb8/srMnOE7
6tGPH92o+To6v5MefMpYJ4cKen+A/P+dV/UKtaT74SA9XnbZ5tEqxZzhD9Xj
8arQFZd+p/kyQj7/34v+ue6lZfNxlB6pfXY1fraH5uNYPUYlfmiX6avE/wGr
ldiw
"]], LineBox[CompressedData["
1:eJwtkn9M1HUYx0+MQQffH1dnbhiQ1+XOKDPPBpq33sO6QP4wL+ocs4jfM4JA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"]], LineBox[CompressedData["
1:eJxFlgtYjucfx5NMvYfnfV4Na1kpkxz6Dx3nuuI7h2nNYaHDkFMOOaWyyH3f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"]], LineBox[CompressedData["
1:eJxFW3lcjWsQrtBe57TLXkRRtki2GtqIpCIi0mKLqEjEOedbRLZERBslS0Ql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"]],
LineBox[CompressedData["
1:eJxdlXlUjWkcxxtlaLnvfV+ttmiyRckkNJL5EjeiQw1TFJNWS6akbE1Nen7J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"]], LineBox[CompressedData["
1:eJxdW3dcz9/3R9HeA4kGUZRVKEmHrDJLyAiJjEhDpT5G6v2apLIVKXysMlKi
ZEUZSRHJqKTQIFkNI7/7ed/j7fH99Y9Hj5z3vfec53me5zn3vk2WrHVb1qlD
hw595Dt0+O9ft0u9mIZoCdjZWhT3uagBDspPj/jHSOB6wWrDxCmaYLEgJvdb
rARUvs8S1idogu6ZiVXhOyRg/dRiUU6yJnT472eXBKZ0WL7Gf4YmvHclH7hb
AkwX+Jbmj/Z7JKB9XM+2+pUatd8ngRqj3Fphvhq1j5eAbb9X3QeWon2CBM5a
VNkt/UcTyG4clA9KYHZ8QNn2wapw85v5gphECZQ+W3due5ka/PdxukkSmB6j
FG/xTgPi95OfZAmsbfNYYtWqAUwD+cAjEtjr1eY/5roCBPx3wKNkvfKmiqog
Tfhve+bHJBD9e4H+1I+qMIl83JnjErinUp+45qMmWP/3c1ICFuVVp+2vqoPR
fx94SgIDV27I0r+nCf+5yyFVAnuS9CfpK6tBM9le7mkJKDzcbZgYqwn/fdzE
sxJ4dyD1xMP5mlB4n/ycI/sbm7C/aaoq/Od+1/MSyP55srZisyYcJcd9mi6B
G18yIzQWqMF/21twQQLlA8Y9er5WE/75z4GZEuj+/NJAs+Ma4PPfzyUJNB7S
Myk4qgHSeGZJ4Pwlw3kJOao0npclkLrh/e2kEnUajxwJyM2wP9qnQJHG46oE
XN6MeX+7AON5neChMup16x4VGo8bEvjBGxpYBGnReNyUwPGIPt2tjmjSeNyS
wIud/lNX8+o0HvkSONn/9JqLGzGetyXgHe1zo4M82t+VgNtshX1Zx9Wp/T3i
n1Xdt/LpWtT+/t/Pk8azUAIHshbuC67CeBZJ4H2SZEKJqyaNZ7EEFPk0h+mX
NGg8H0mgt275pbl9tGk8S/7GTxrPJxLo+b10aNkDjGepBFou+D67aqtF41km
gcOn2fzBORo0ns/IfhJGFKSbatN4vpCAX32W+76+6jSeLyVwOWNeskG7KrWv
kMBOm9V+w46qUvtKEl+fWXN2FKpQ+yoJhCakXij6rkHtX0tAJ76xUi5UjeKh
RgLzHN9WzHmtTvHwhsSjqtB3gacmxcM7CSTreqYuilaneKiVQN0pByUXDS2K
h3qCl+OHppZc1qR4aJBAUaWP/sxH6hQPHyRQPOi9o0NntG+UQEfFCY5bJqN9
kwTOxOzZH9VHhdp/kkDztyj7D0qa1P6LBFatXKYzslWN4umrBC4aCQ0hP1Up
npol4H/NXLU8AvHUSvB+sGG/ZATioU0CZpYG71d5aVA8/CD7yS5IHP0U8fRT
At+eRJzj3qF9uwTCf2pMri9D+98SaPKMXtUQh/zQkYF/e03efqdMmdp3YmD4
3TFL/A9rUDzJMzD1mflQtanID50ZuP5cyczLWIXiSYEBz2KFNw4HEU+KDBzs
1/y2iy7iUZmBSW0Zcq+z1ai9CgMdnd+Pz3dDPKoxMD5gswVjpEHt1RlY2tHl
wvkI5BdNBiSmGxdPN9CieNRi4HTptfG/ZipTPOowsvNI8ajLgF6rzc1Jl5Wp
vT4Dd1SvVZzfqEbtuzJgxia+f9BRidp3Z+DB/p9tVrmIZwMGNL4X2uleUqd4
NGSgvNZqhevmzhSPPRk4v//S2T3DVSkejRgIGmTfq65YmdobM3BypXbWFC+0
N2VgxkiPGucYBWrfmwG3Gaqxx33VqL0ZA1e9VzwP+8Nvfcn/Pzbj0elAdYpn
cwa29/ktKRmO+WTBQPLnXkJ5FdoPIPurarfw2IP5ZMmAVptj+CfCn1L7gQwM
q3hTb7MG82EQA35bZ39qrMZ8GEL+3iLn8ruXFsXzUAYu7rI31SD5JbW3YaCv
tumqVxfQfhix7/IkvFsntB/BwBKNajdfd+RXW4KXGW6Hzq1Wo/kwkoEJU793
G1ioQe3tGejhPqHfvXlo78BAytBIzzlWaD+agSrHG0PPDUR7YOD2KPfcsnxl
mk9jGMgxWd01ayLWWycGWCeFKPUeaD+Ogepcq5ErNDWp/QQSD5+ikCNDMJ8n
MjK+kto7M7Cn27LHI5Ygv7swsM7Of1ksh/VhCsH71n3TUwown6cycGFmSGT1
DUVqP52BrxVNGv9Ya1H7GQz0TKnukZ2K9d6NAeaez7zdb3D9mWR/cZITVQrI
B7MYuLXV8PySHBVqP/svfqX2HsQ/Hidymty0aD7PYyD8bf3BzR/x/PMZqLj8
vXboKA1qv4CBt5E1kprOWtR+IQOPJN3CimOVqf1iBsJa5jesL8L65MXA8jxu
Y1UG7n8JI6uPUvulDGyoHW/o465O7X0YOKZd+0a4q0rtl5P8nJw3QuU06pUV
DGwd+PvR7PvIZ6sInt/VSxp6qFL71Qz8HOzrcihVg9qvYeCN+eqUMQXIZ2sZ
6Gakb583Bv3nz8C0981DLNYgnwUy8N5mVPEIOeSzIAZO+UeXbl2GfBbMQOiO
eVN6PkH7EAbS5R6o3ajE/a8n+LZub9zB4PphJJ5n12S2tShT+38Y0Gm3r+mc
pk7tNxD/T3r0a140rr+J8Flm1fsZA9Sp/WYGcuNM/2WysD5vIXz2Y3L/zu24
fiQDqX1DMwdWo72EgUXNWxs/uuP+GRLvLnOu9E9Sp/YcOa9pgnu9Ma7Pk/j1
vOYeXIH7FxnoZ/bomU0i2m/9y5dS+2gGEjR7RL3si+tvZ+DFZQezEgmuH8tA
sdqpOR95tI9j4JzXrSsH1yhQ+50EzznFBWsdMP67GJCbvejx5y+4/h4GvJq4
DRPvqlH7vYRf7Q9/XrtDldrvJ/x08bSTfSrax5N8CJLbtqNKidofYGCseWLu
vbHo/4MMhBwoGlhoqEjxk8iAc2BT07yzaJ9E4rnWouXpZlz/MAN1p7+Me+GP
/j/CwKy6UKXvRoi/owz8OvL5U1oP9N8xBuw6aakrTEC9fIKBE6Pmjqr8gvl3
kgHxkLepljban2LActbq8nsVuH4q+f+DXSIuz9Cg9mcY2Lkry3j/AbQ/S/hu
rHnqNlfMv3MM6Esqb4cIStT+PAPXgh+Z3LuN+jKd5G+vu2o+81BPXGBgVZec
mXNvoB7IZODpgr4lLQF/9Olf/FB9ykDi/YyAxafUUJ/+jS/VpwyY8Cvd3Xcj
/11lwN3qXab8Vy1qf43wtbA/jr+B/HeD8MfJrZMznLQpf+Yy4P0sPDgqA/XM
LQaUnqTVqsvpUPs8BgZyD8P0O+tQ/r5N8sM2afX1duTfO4TfXky/6HcS7e8x
YO8wd7zvE9TnBQzEpxp/DndG/i9kQLPG1TBUwPUfMHDgYXBr+FktWn+KSX3i
w91He2tR+4ckf/TWXrlxE+1LGEiarN1yuBrr32Oyf7+yyCNKWL9K//KL1P4p
A7paai8blmN/8Yysv6SvqW091t/nDBh5XMvipmH9fMmAQYHajpbB6rT+ljNQ
wD+dnGylRe0ryfl90x5Neq5K7V8RfxmdeT/fH/ub14TvJncK6tQJ63c1AzZZ
FY+zTTtR+zcMKHYQZhxP1qD64S2J3wUDzZc7Nah9LQMZfdSrmeGox+sYWH/3
ZvSz9xpUvzSQemXcqfFwKeqf9wyMa9N99TpVjeqfRoLflNjdZ29pUvuPDGzK
Dxyqug37s09Ez9gc5Gy3qlD99ZmBe9/Ltnj4qFP7r8TfRoc2HtulQe2/MSCv
1CMsRQ31XwvJl5mXLn7qh/qvlcSjvns/rwbsZ74zwB1Pzn84XJnqvx8MREzs
EfPjhAK1//W3/kr1Z/vf+i+178CCwie/fvu6a1L7jixYXC102eeNfCnHQlnb
ErkZRA9I7eVZ+N5jhpmnA/JdFxZ2zq6yfl+EfKfAgl7MKUtlD+RLJRbG+08K
iglFvlRmYX9owrBxB5AvVFmIKvLq8c0U80WNhY8B9yxcrVEvqLPgkjxnzZ2D
2J9rsqAsMfRv+ob5qsVCc+GUGOtvyBc6LJgpLroXUoR6S5cFY8WAouIjmK/6
LITpHk6/eBTztSsLsy1f1XSdpUXx3p2F6FlrjIJyMN8MWOhsuVrl9ALEqyEL
XhcLcht+Y771ZOH43oKJ91dhvhix4DxcgbcvxXwxZqHXxrf+TT8wX0xZeN6X
eTfmvCbqVRYcRmxpWHsA88WMhTNhgW0KXxGvfVkYWDRvVYUN9n/mLIzZPpBZ
ehb7eQsWQs0G3l7IIl4HsOBW+c7KYrYKtbdkYc4ZvQZLVew/B5LzznKo+sca
9fogVtYfSPEyhJXNJ6R4G8rCFX2z9PpvaG9D4hHcb2RjBfYbw1gILJ550XK3
GrUfwcKaUHGha3fEmy0L6y92fNPaFfudkSzIh6+7umSuFsWLPQs6ga/jO39Q
oXhxYGX5Lo33aBYGn+MD9itifQIWynN7O0WMQPsxLFjvyUtW6Y78PJaFoboB
L1t6I97GkXiv8ip16qtK4z2ehbbtOZoZnoiXiSwIBuH95I9gvCeR8+YFH/ea
pk7x4sLCxXRvgw3mqM8ns2AQPdFR3QfjPZWFtIaYmB+nkN+msaC1KSAvogbj
PYOFJ1dikpd060Lj5crCzNINRycWqdN4z2QhO/zKY1Nv7I/cWegbq26nfhP7
m9kkv2K4TOsD2K/PYWFQNnOQH4n8MpeF1Mv/JlWfVqP281hIujzevnMk9ncL
yPkvzB8N2cgvnsQ/qSpTTQdp0ngtYuHptimZI0CNxnsxK9Nv0ngtIfZyouaM
rto03t4stDfN8LJ8hfm9jMSn4E7qWjstGm8fFlpCiv129EI9vYLkzym3Ustt
GK+VhE8e10o0/sX8XsXCdnsr47efUQ+sJvlcrzuq8zY1Gq81hB+2Fl2O3Ir1
eC0L/lmHiptZjJc/C4+TTnxon6dK4xXIgo/V1klbHmN+BrFw+bRnlyWvVWi8
glmosQ96dWqMIo1XCAsjT54rLc3CfnA9C1mTTfgeKlrU32EsbP5p5/jBE+vR
PyRflm/JOumF/egGst7blV3OgCKN1yYWqpXLry8JQX9vZiGnLrghKxzjtYWF
RZH7tJ3jVKm/I1m4Onrsr0QrrCcSFha0bnIyjsZ5AMNC8junF9PK0N8cC0a+
qtw5IxXqb54F0ctVv2M58rHIgtw4+2md96L+20riuefYwQwj7D+2Ef66mVQ+
VRHzazuJn9I2W18X5MMY4p8J2y8+X4x8HMfK5oFSf+8g+Dn5QW/3cuTTXSxE
vB3fWj8V82M3C/O7jzMKj8H82MtC09Qaj+xM9Pc+FoIOHxh0ohPW73hynpAh
lv2mIL4TWDg7R2yvdUQ+O0jywVnVrIMS4juRhY0KiTf3p2L9TGLhfeSdKZNm
Yf1NZqFw0c0pCyTIR0dYCE9g5W/21cL5KguaXuHphcc1Kb6PsVDZtn3KyC9K
1F/HWdgwXDlimQr2GydZUNnTME/9J+rdUyzohhdaWy5EvZrKgn3PNG/XPMTn
aRbYtuPflmai3jxDft9aEdi+D/XmOVamv6X+SmPhk2le8qWO6K90Fvr7blOJ
6It8ksGCbd6c7YoTsf5kEvw4HgrhB6LeucjK+gkpPrNY8L0hyveTR72STfyj
526xUUGL+iuH5JNuODvlF857rpDz99/QT84L+f8a4Se1BzabY9Ff11kw6SM5
um4xzptyWZD8mnjH1Bfr/U1ST548T758FvGZx0Lmvg6PJkTj/DafhYe+ywIn
uSAf3CH1yqp4cMY05N+7LOye9GNX0HDM53uEzw3Ovhnsj/i6T/jTsmP8jDwV
6q9CFlzrVHpNHaVE/VVE4lN8+ZmaGfqrmIU3abf7DwlDffeI1MvE0gdTUrDe
lrDAnRr7YUZXLZy3shB50OpuiS76q5SFiV/dFLhyReqvMhZW1S46Z9Jfi+bj
s7/1SuqvFyxMHijZ8iZdjebjS8IPBwIM805gP17BgseVe0ldxmE+VrJwzXnH
kdZmrFevWFiRuU2cUo/+ek30Ucfcyb3XYD9TzcKmLMfM3qdRn7wh9c8ioXUQ
0RNSf70l+uCdY5ixJ+r5WhaW2q2+wU5BPV3Hwp74EysN96K+aGDBSsv8U/zD
P3qW4DlFXSfpFeZjI9Er6f2m5MxH/vrIQu9xq5crblKn5/1E/DPhl+vkXtqo
Zwkf+P36OWsC4uMrK+uXpef9xoL75vTPazqgnmxhQd0hf6zDXsynVpLPnduO
KTsg37ex/zt/+kHqa7Ov/ajVyvS8P1lYOb9vVLfhmA/tLLQWmmSNK0F8/Cbx
nes0/JULnrcjB52vNzbOn4P80YmDGXuuHPM2wfoqz8nwJz1vZw4MTf1Eu+lY
HxU4uP+jXuww8s/8lYOcFff65ztjfVTmYOqE/LwaBzyvCgdR18aO+jAe+UON
g6fXjwcpbsR5kToH7/N/WC0Qtel5NThYFHZo7lVtbXpeLY74a/vS8m069Lza
HFQt3NLPLRrjq8tBXIjrC/vd2vS8ehyo607wGT4W5/9dOXgS8FYyNkKLnrcb
B6zuzy3eEagfDThYOz5pp0TE/O/BwYMLPZUTErXoeXtyoHH8SI7LTZx39+Ig
wC7LPtpLhZ7XmINxNT3OrVyO5zXhYJrhkh9bliPfmXLQ/WVmxoVFqNf7cOBt
1Dr900l1el4zDpyUvdZP8UU89+Og9H616c4ziGdzDsKdNq972BHP258Dubis
ySceY/4O4ODd2E3Nd82wPlhx8POxcl7hGIzvQA6Y9asCa3VQ/wzmIDr9oJbO
BkWav0M4WT8vPa81BxJJUHnDItSrNhxELq8M3B6D+TucAxfm2ruXPbEejiD+
OXrQvrEQ89eWg3k/P825vBL1x0gSL9+hxp6Nf+axHGxX23v+ZZoqzmM5uCcf
2JwwUY3y1WgO3nxQS9S0x/wDDpZHDm6+nYT3fWM4KF4bl3PTHfWDEwd9Mz49
S+2C+nwcB6PVckSGw35wAgeTw77fLdPH+Ewk/rs6/ZBiPM6fnDnoH/F+mUU5
5p8L2a9e8OfkJuSbyRws7enRNDQU4zOVg4iwtc6zo9RofKZx0K/OELbno16a
wYHxiDPDjXyxHrlysv5Rut+ZHHSM9f3peRXj487B2PiwthwR4zObg9lb9N6N
G4p6Zw4HXeJVn5g7qtH9zuWgV/N992Mf8H51Hgchs747Wj7C+ruAg4f7hX5B
KcgXnsT+pbVCRAjudyEHW5IzV9jOxfgs5mDOr4/tr0VlGh8vkq95ExMVuqG+
8yb5H9T/3HdjzJ+lHFz4pPHrSRTu14eDVwFubsk/1Gl8lpP4n+1zYrYq4mkl
Bwp5pyKXX8D8WcWBbUBtMDdfBeezHOzbPvNz+q0/81mSXxOOdV/9R5/5cZBn
MmCxTiHOd/w5UO026FVxPerZAA701baOf3VTh+43iINLhn61uV10KJ7WEfw8
7+ov1GO+h3BwaLSkVHcfzjdCCb+UHJ6w/5k23W8YB6fn3NkZWaJN9xvOgV2o
RqP8ZB2Kpw0cnJy/pvZWPer3jQRfjjf0nnro0P1u4uDYA5verRY6dL8RJJ9V
whLcXHGetIWDmMH1US5BiKcoDk6ZaU7s8wvrtYSDvRZDm5Q3I/5ZDgwytDr1
VkA+5jhYv0d3vvph9K/AQaZ5h3H5ScjHIjlfygbjo95Yf7ZxcHmF09LbCrjf
aE6mB6T73c6B0Y2RxsVB6N9YDgZluGodrkb/xnHgqXq9+kuYOt3vTg4ymILG
TMD97iL84Nk288RS1Bd7OFhS2HVlp88qdL97OXhelzraSUQ+3U/2F5eRX6SI
eIjn4LPh3ADfStSfBzgI3MWvS7qL+XqQ/F5kMnTNdeyPEjn4uGSsrYcb6qEk
DoQnWQsHb0F+SSb1bOv9qecOof47woH5wqPyegtx/nCU5GNy+Oexo3G/xzg4
G/U02uGmMr4n4GDWz4snLb6h/jtJ8NYcc9/SBvu5U8SfBrsOZn3E/iKVk82L
qN7lYM/q/FPlpujfM8R/1ecjNMJxv+cI/wdEG2qZoH/TOPBTsly+/wTW53TC
Bya9rih0RT2SQeKlVGq26YYKzbdMDuZfdTfrz8tTfrjIyfSWdL9ZHASl2Due
P4z+zSZ8vt1jzN71OC/I4eBM2amUWyzywxUOdoaM8EjsgvOhq+TzXu8abfQS
+/XrJN4uQWbt+aifbnDgUNol3C8O+fcmBxsNv7zx85en+731lw+l+83nwFHb
VbnhjArd722S3yeZgjn1OL+/y4Flo7ldiBfOJ+5xsOD3I6fCXJxPFHCwKa7T
uqZmxF8hB2XbhDrbWXgf/4CTvSeQxrOYAw/41vbVHPf7kMQz0NttkxHe35YQ
ftu86/xwRdTzjzk4GNdlr1s45ncp8U9kTiL3VYfi7ykHtb73TgY806PxLCP1
fIRd2BtPfRrP58R/gv2Q0m36NJ4vOLAxmTfJ4aY+jWc5B92mjLcpeadP/VPB
wR0Xd3unVj3qn1fEv/ejVt3O1qX4q+KgJ6fkeaGPLo1nNQfffVd+tHVEPqrh
QFvh4lxDMx0az7ccNMaVbR/O6dB4vuPA6ke8kcltnG/XchCf4nX+n0+oH+o5
WJdQ91FhsDb1TwOpv9dyFi7w1Kb++UDwczrNrEVHh/qnkYMd1yYtO1WJ/mni
YNfexo46TrrUP59IvCq8TlS/1aX++cxBmgc/+ma2Do3nV6Lnzrxxbp6nS+P5
jeDht3PhcgNdGs8WDnjjVdXZ/yJft3JQ1B4at85Pm8bzO8kPg46F4UnI1z/I
53cKTcg2Qr7+xcHwO+yYKk/0TzsH2VtdqhfrYX524KHT4RPblAtQr3Tk4WhK
fdqwmYj3TjwUvT1efPUs4l2eB9/3cL7LfazfnXnodkbdPFMf9ZUCD+09pz+p
u4X4UeRhRH9l5eOjtFH/8tA2N+RmC6+N+peHf7bqHprRG+uDKg9mNVsV402w
Pqjz8HaoXshT0KH40eBh5aSjiz/Uo37V4uG5l964xlfaFD/aPPS/LXwqMtWm
+NHlZfctUv/o8SBa1Oem/8T60JUHv3PPvHWKkQ+68WC1VbFROwznzQY8lBcO
EJuV0T89eLj7QE4iqcf+05CHwc6LjLt216b+6cVD89bpJwMIPqT+MSL+Wphs
KYnXof4x4SH+ZuXUX8GIH1NirxyXZGerS/3Th4fqN1HWR8LRP2bk/+eaj+YP
oX/68qDeO7Pj2wRt6h9zHswZu87rj2L9tOCBdw1qmjof+XIAD/lyS/jFgahP
LHnoFT1gVKQf6pOBPGSX+jeMXIb96iBe9t5Ayj9DyN8nm5gmHMJ+ZCgP4V33
SVqXoj635kHr+Z3O03xxHjGMh93uffqIm7H+Dedhotn1WYqZWK9t//pbGg87
HhZ1heyTk5Cf7XlIT5vcaWEExmMUiefa+kW7NXEeMJqHjSeGLt8xHeuJIy+r
L9L1gAfmRcy0TTa43lj+f/tTJx68Pesu5Gti/MfzcKHoan2KDa43gYeFLtP3
5GdgfkziIXfTilFNm/B+0JmHDT01cp4HYH64EH8YtY2KGY36dgqJd6j1tT4D
kV+n8lDllJHkNx3nB9N52bxUGv8ZPOj8GnH3/VDUI248RNXY+qy3w/o+kwfh
WFZpVw+s7+687P5fGv/ZPESf3nQvrUCJxn8ODzPnfLqjn4f1fS4PZx/I+RvV
4P3APB6UulTaXG9UxXkvD3ERw57FDMP7HE8eHrV/DFVZj3p6EfGX/YYv9s1Y
nxfz//u+z4uHKw1DfEY8Qrx5k/xv5J/XAM6nl/KQIZoujJqF7398eHAulG/O
tsT3cMt52Xsp6XoreZg3IG7Sg/Uq+F6Bhy+zdup30Md+35eH78dW/vN6JvZH
a8jfL+20N7mrQuPvx8PTOxNSDN6r0fj785AVlJx8eAXq7wAeEt6PYX5NwflE
EA8PYi5WPz6M8+R1PMTGVvad0Q3vi4J5+Kna+G30WmW6XiiJ77A0KxM5Lbre
eh7qbbdGPOiJ89xwHpZkRnuPDMX1/iH7HaEetPcy6ruNPOhbafU6vgX7x00k
f7X8uuT4IN4ieCibovMmW0eZ4m0LL3vPI10vkgfdFLt32ecR3xJeNv+UrseQ
fCs/21s5GvOJ4+GF8lW1Wxv+zH95SPyYLfk9BvtVkYfNjkbPe8Sg3tlK+PdY
lOb+y/iebhsP93ttaB6ohPOT7cSf/fNKGjMwf2N4cHrUY7HnE/RnHA+XkvQ1
tk/A+dYOHq7rObLF7th/7fp/+bubhye+CnK5mbjeHh7Gv3jslleK9WYfD7d8
j069o4L9/H6Cv2dZ5WVG6M8EHozHq933U0V/HuAhMvTYlBuZuF4iD6NXjuiz
6SDm7yEemh46idsjcb0kHqzb54e5rMLzHeYhxmzn1w23cL58hP/f95b/8rL7
YOl6x3jIsT2zYNWf98MnyH53SvYFWP55z8CDgTM/7uY97C9P8fAs9nD1N0fk
i1QeVm169FgtGM93muRv7xbXupWor8/ysvsy6Xrn/vpfut55wr+/jyW+Nsb1
0nnZex3pehk8/EoZkMUooD8zebiRUGC1Lgnjd5Gcp2/4JI9vqqiPeSjZ12OE
+Oy3I9XHvKxfp/qY+Gf1hQMtFbjeFR4OpzT5N2bivO0qqcfndy49vx/xeZ2H
03Xa1vciEJ83eAiIrj+mOwHPd5P4z3mCyZ1Jf97f8jA0+8R672A8Xz4P54PX
31k9DuvvbR5amqf/rkrBecgdHiY1H8paGo7r3eNB01Vnk0oY5l8BD0lTtX1+
tiFeCkm9+PJjjyQW8fKAhzm5HwPtQjDfi4i/qqc9cy3AevaQh8q0tPyDAdp0
vUc8hEyPDXi3A/vlxwRvNUuia1JRXzwh9dZz20SPF9qUz56Setjpn9YWO23K
L2WEL5Zu8ZlyDOd5z0h8FSc5Rd/CfvcFL3u/Sd/j/q1HUv6s4MGQzZmaE4P1
upL4u2jtZtvXWK+reNn7Pjof5uGjV21ez1i8r6nmZe/N6HsHgp/U8qQXPOqD
tzwM6ZuU7uGH97e1PPg83XXAqRfOW+p42M99mX/gK86z6nk4kG++ZOlSfB/4
/v/pkQ9E311tfPa9CuvDRx6m5CS7Rq/DfryJh+lRI6y/cNjffiZ8E78x2GoF
vif6wsOH9SMnSnJxva+Evwy0wvsxWI+aeVn/Ks2fFqIXB5la+1lgvW0j+mJQ
177ZR9Tpet95yMzdmFurqUrX+0nw3nCpWKsX8sMvHnoG+vufW4p4budh8Quf
mIHBmD8dBLB+vmJPtjne93UUZO+PpPiSE2BQYIRbZB/sh+UF8PmmL+/zCvVk
FwGCHzVs0BmJ81sFAR6behfMGYf4UhQg60hW2b5riC9lAeBzzqUX9zBfVQQQ
SrRcapr/zIsFiBmxw/bFHewP1QVZ/0LnxQJ0r83Rm9GOeNYS4Lz11TcPA/7o
ZYHUo/kutUOwH9UVIO1+3LROo/D+Vo/s9/KMUbatOI/vKoDi5FvzZx7GeHcT
4MUkzcwX+1EPdBcgPq8tvD4H76t7CBA3o8Qtuj/2A4YCKI1yEMfOwXl4L0E2
j5PG20iADl9DhNLrOB8wFsBQ/sQZ199/3kMIsvdl9D2EABOe7i2rjFeh8TYT
QOWFYnnlSeTLvgI8Tfm5W2M98om5AGfGzXI/E4n8ZSGAn/us7UsP4/yjvwCH
B1i9DPrzfsJSAPlrA0bFD0c+sRJk92/SeA8i/g7WSl2eh+9DBwvQkvCp2vg5
8skQAcKS2FmX/0X/WwtwOqvpwLI/8wsbAdw6F42JL0E9NlyA0SVeZi538L3E
CAFUPc/mPIpG/WcrwAnmdNRmR7wfHCnAx0XOj9ecV8X5sQD7vwxaZV6vRv3h
IMjm4VL/jxYgqn9TyajPOP8FAfbOrR3Ur1KJ+mOMIHvPIcX/WAFSYx6bBKlh
fRwnwHDjturLgHw+XoD5/FTVgk3I5xMFMO+5IqgkGuevkwh+hpb3H5SK8wpn
QXYfLvXHZOLPqIdqeQvwvdYUAVza5S69scb7x2mCjG+l/pgugMePR3V2zsiv
riR+C8/ZyhViP+T2N3+k/pgpQMfoafsn7sB+cZYAdQ9b76z903/NFoDV1a5r
qsH+1IPgc10er3pUl/pjLsnvELmA2LO61B/zBNg6OtHyqY0+9ccCAbjBVx/+
nqaH7yUEqDWsfvTQQg/fSwjQ7G0WuDxal/pjMdn/3RWxjtXY73sJ0FXlwCXv
M9rUH94CNLZ4Tg67r4P6WYBfHQ4mqSRiP+sjQPoGp38PtKI/lguwY+65xsYs
bXzvS/B9JvmLRQ+cV64S4MjJDu0qn/H+x1eAip6/al+b4TxjDeGT1Wl6y6di
fvoJoG74oL/HTOy3/AVYYH6xbnAk1t8A8nuvSx9zWlFfBAqgMOeA8sqeOI9Y
R/guTrUs3gnrYbAAfI1PeBcD5KtQAYaMa4m88gLr03qyv2HGdmNzsT6FCbLv
R9H3EwKkHDSwXXUZ+5cNAqwsS1hpNwL7pU0CLOlsWTZyHPZLmwXZ+w2pPyII
HsavHbV3JvJHpAATX5XlTViH+i5KgElqNWO+JmA+M8SfP/aMH12JepkVZO8P
6biE4AHU8mZa4PsQQZC9t5DiVxTAbm+P/k9KEb/bSP6O3WKcXqVL4xUtwLKA
Xfy3Zfo4XxZA6xTX/2tGV5wvE3444n5y5qhuOF8W4NKXtQ17b3ej8dopwJrR
Pz8dy+1G47VLgJrbOVd/unen+9sjgNnIY52m3utO47WX5Jv6pEMbhxrgewrC
F/4HGqZdMsD3FOT8bcNz4goMaLwSBLjZ8G7v2jID/L6aAA5hO5T/yTSg8UoU
oP1yVE5JfwO6v0MCHMsIrFCo6U7jlSzAHJWQk2EvcX+HSX47By+++qobjddR
AZa+S/u8wKAb3d+/pH6FwspXT7pSPB0jv59Vqeu8tyvd3wkBIq8Ms0437Ur3
d1KAo6/Lqqfd1afxShHAK67fupP/6uP7YAEOnI4eOS9Sn+LpNMH304D8JRV6
+P01AW71dXj7KluP4umcAPmvul24Vofzl/MCvOTXrVT7jfO7dAF+BPf38K3D
/M8QYBUbl/fIRhf1NKmfXX65JSfi/O0iwW/Gzt9WUTh/yyL1R3lMn+uxOD/J
Jvn8tnHK7Gisz5cFWX8r3d8VAaKLdeefcMT6cJXgKadm0fzLqI+uC/B59Nkh
ns5YL28IEPH9Rc/Rf/R+rgAbKpruXtqO/cUtAQYL1qG6XfH9Xh7Jl88JXcRn
2B/eFiBnwZthA1i837tDPj9uWEn3yUp0f3cF+D567hExEPVbgQC9XEasvDIM
93dfAPcqmwTPAbi/BwIcdI1t2XQE87GI6AmNvkVL7+D+iv/WA+n+Hgmw63fY
MNso5IsScp6154qGOKFefyLAoWkZ8lWX8X64lOz3cx/nbXewvj4l/NMs31Nh
2J/3w0RPLK4Ozy3H/T0nfOGc3PJ6IPLFSwF6KpTpBvdD/5UL4BsccTm+To7u
r0KQvZeT7u+VILuvoPNnAYz7Zmj4TEa+qBZk3weS7q9GgH89Vwa2meD+3pD4
P+vQeiMO9fY7AUIr4K27M+rtWqI3ErSGV9yUo/urJ/W20H1MwQfUJw0CfOvb
/OtMGdbj94Ls+6L0/YUAmnbVvbWs/7wnFmTf75Dm7ycBcoueDW/tgfrwswCd
WuTdggtRL3wR4Np646pBWbi/b8L/fh+xWYDYdR1rvWZifFsJHu9dirgdit/H
bBPA9F2dQdIe5L/vRB+zOR+qK/C9xE/CP6d/dVy2AfuHX4R/wjZE+pShnvwt
wDDjtMcHizpR/usgyr7PI91fR1GGVyn/yYnQeYHQ0mcl6gt5EbSe6mvbOGF/
2kWEFfm9HLftwn5KQYT9624Pb7yJ9yGKouz7Q1J+Vhb/t79REWX9N51HiyAJ
mW+Yfxe/z6guyuZf0vqhIcref0vxoCXCjouzo7ydUH9qi7L3wVI86IjQS31A
pNpGxKueKHu/J8WDPtlv2dCl7cXo727k/3tEyFs8xu/3dBcBVofk2gT+eW8s
wrmAzYcvVWL/ayjC0IZ0u9AVeF/XUwThwo65EmX0t5Eo4wcpHoxFsLubpthn
IOLBRITB68aXBeuhv3uLUB6ZrqunjfPKPiKEzF3krT0X62FfEbzSTlf8o4F4
7SdC8jKlGzYWiAdzEWpZiySl2dhP9hdBe+7X3bsX4bxxgAhxlXkLE68qUX9b
irC8PTZm2nm8jxkoQlb/BNXYD/h+eRDZ35mLugfacd40RJS9H5L6e6gIHdaW
vrRZhv62FiGzKXaQQSH2I8NEiFx14arzYHxfMFwEpcgVzOsCZepvWxH6FHRf
dMUM5292Ivz6ePji3jDMv5F/15f6e5QIC6t/a0rmIX4cRNl7Xqm/HUV43ys5
88Of7zcD+X2+z2mtWHz/OEYEc8PpIx+fwvmSkwiz+tpOexaK/eM4ETyWdo27
EIj+niBCzuUkRf8S7CcmihDwVPKidDbyySQRPLdFGrf+wHmBy994S/EzWYQu
w+V9IBXxM0WUfV9G6u9pIjza5POpxhb5bjrx74sdz9OjUb+5Ev/1mV06+1+s
Z24iXAx+seVd1R+9Lcr6W+l5Zonw0S96oIfJH70tguWNYpXbO1BfeoiyeYH0
PHOJP28X3tX/gfiZJ0KTrmXpg9GopxaI0M05/+2JYXg/4ilCZU/biLu98TwL
CT/0VOg+oQTxs1iE7fr63yIkWF+8CJ4W209ePwrP4y1CW5Z7nYkr8uNSER52
MNXWSMH78mUkPxoz0i8dwvgsF8Fw3z7/pR1xnrBCBNHM03rqHozPKlH2/XLp
dn1FMDD/apr0GOdVq0XY1Lbt+6h8PI+fCGnWlovctbBerhX/V1/7i/DgpRes
CEL+CRRhp13ypp1+2I8GibLvB9Dv24mgqtLnbLoV1qMQ8vfUhYcfjkS8hYrw
JHC+nEks3k+HibLvh9P3HCJ03Tzw3pV+OK/YIEJLevTJRyGodzeK8PNSaYp3
qSrF2yYRZh/23bYlCvkqgvjf44vjDgf8PtoWEVIcxrXk+mP+RBJ7icao6iUq
OL8WQSN6kYvKb6xfjAj5T9Z+iJfH+sWJsPp1SevrIThv4EWw/ndEh+p1yL8C
yYez1xdoWuO8Z6sIxcopsTfGIR9sE8H3TWXX+hnYf0aLYNP5fQ/OCfk3hvj7
juTNT21N+D/owsiP
"]]}}, {}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{300.14, 1.0473189942805572`},
CoordinatesToolOptions:>{"DisplayFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& )},
FrameTicks->{{{{0.,
FormBox["1", TraditionalForm]}, {2.302585092994046,
FormBox["10", TraditionalForm]}, {4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {9.210340371976184,
FormBox[
TemplateBox[{"10", "4"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {11.512925464970229`,
FormBox[
TemplateBox[{"10", "5"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}, {{0.,
FormBox["\"\"", TraditionalForm]}, {2.302585092994046,
FormBox["\"\"", TraditionalForm]}, {4.605170185988092,
FormBox["\"\"", TraditionalForm]}, {6.907755278982137,
FormBox["\"\"", TraditionalForm]}, {9.210340371976184,
FormBox["\"\"", TraditionalForm]}, {11.512925464970229`,
FormBox["\"\"", TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}, {Automatic, Automatic}},
GridLines->{Automatic, None},
ImageSize->{743.03515625, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox[
"\"Natriumspektrum (eingezeichnet: Linien der dritten Nebenserie)\"",
Bold, StripOnInput -> False], TraditionalForm],
PlotRange->{{300.14, 849.91}, {1.0473189942805572`, 10.964137642456047`}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]},
Prolog->{
Dashing[{Small, Small}],
GrayLevel[0.5], {
LineBox[{{332.14766186621347`, 0}, {332.14766186621347`, 10000}}],
LineBox[{{286.43745521414087`, 0}, {286.43745521414087`, 10000}}]}},
Ticks->{Automatic, {{0.,
FormBox["1", TraditionalForm]}, {2.302585092994046,
FormBox["10", TraditionalForm]}, {4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {9.210340371976184,
FormBox[
TemplateBox[{"10", "4"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {11.512925464970229`,
FormBox[
TemplateBox[{"10", "5"}, "Superscript", SyntaxForm -> SuperscriptBox],
TraditionalForm]}, {0.6931471805599453,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.0986122886681098`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.3862943611198906`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.6094379124341003`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.791759469228055,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {1.9459101490553132`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.0794415416798357`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.1972245773362196`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {2.995732273553991,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.4011973816621555`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.6888794541139363`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {3.912023005428146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.0943445622221,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.248495242049359,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.382026634673881,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.499809670330265,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.298317366548036,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.703782474656201,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.214608098422191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.551080335043404,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.600902459542082,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.006367567650246,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.517193191416238,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.85366542803745,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.987196820661973,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.104979856318357,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {9.903487552536127,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.308952660644293`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.596634733096073`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {10.819778284410283`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.002099841204238`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.156250521031495`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.289781913656018`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {11.407564949312402`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}]], "Output",
CellChangeTimes->{3.5645759846766453`*^9, 3.564679439540947*^9}]
}, Open ]],
Cell["\<\
Die erste Linie der dritten Nebenserie liegt sehr nahe bei der dritten \
Hauptlinie. Damit ist eine genaue Identifikation hier kaum \
m\[ODoubleDot]glich. Wir gehen indes \[UDoubleDot]ber zur Betrachtung der Me\
\[SZ]werte der schw\[ADoubleDot]cheren Linien.\
\>", "Text",
CellChangeTimes->{{3.564576010453988*^9, 3.56457606420059*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540", ",", "raw"}]], "=",
RowBox[{"Import", "[",
RowBox[{
"\"\\"", ",", "\"\\""}],
"]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564576094808025*^9, 3.564576106734972*^9}, {
3.5645762648154507`*^9, 3.564576269563072*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["natrium",
RowBox[{"570", ",", "620", ",", "raw"}]], "=",
RowBox[{"Import", "[",
RowBox[{
"\"\\"", ",", "\"\\""}],
"]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.5645761194944563`*^9, 3.5645761303423977`*^9}, {
3.5645762717888937`*^9, 3.5645762742033567`*^9}}],
Cell["\<\
Addition eines konstanten Offsets:\
\>", "Text",
CellChangeTimes->{{3.564576515172347*^9, 3.564576519834331*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], "=",
RowBox[{"T", "[",
RowBox[{"{",
RowBox[{
RowBox[{
RowBox[{"T", "[",
SubscriptBox["natrium",
RowBox[{"400", ",", "540", ",", "raw"}]], "]"}], "[",
RowBox[{"[", "1", "]"}], "]"}], ",",
RowBox[{
RowBox[{
RowBox[{"T", "[",
SubscriptBox["natrium",
RowBox[{"400", ",", "540", ",", "raw"}]], "]"}], "[",
RowBox[{"[", "2", "]"}], "]"}], "+", "100"}]}], "}"}], "]"}]}],
";"}]], "Input",
CellChangeTimes->{{3.5645762787976093`*^9, 3.5645762958045073`*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["natrium",
RowBox[{"570", ",", "620"}]], "=",
RowBox[{"T", "[",
RowBox[{"{",
RowBox[{
RowBox[{
RowBox[{"T", "[",
SubscriptBox["natrium",
RowBox[{"570", ",", "620", ",", "raw"}]], "]"}], "[",
RowBox[{"[", "1", "]"}], "]"}], ",",
RowBox[{
RowBox[{
RowBox[{"T", "[",
SubscriptBox["natrium",
RowBox[{"570", ",", "620", ",", "raw"}]], "]"}], "[",
RowBox[{"[", "2", "]"}], "]"}], "+", "100"}]}], "}"}], "]"}]}],
";"}]], "Input",
CellChangeTimes->{{3.5645763090823298`*^9, 3.564576326324304*^9}, {
3.564576393679695*^9, 3.564576399326372*^9}}],
Cell["Plots:", "Text",
CellChangeTimes->{{3.5645765218662643`*^9, 3.564576523985916*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["plot",
RowBox[{"300", ",", "540"}]], "=",
RowBox[{"ListLogPlot", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",",
RowBox[{
RowBox[{"300", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "540"}], "&"}]}],
"]"}], ",",
RowBox[{"PlotRange", "\[Rule]", "Full"}], ",",
RowBox[{"GridLines", "\[Rule]",
RowBox[{"{",
RowBox[{"Automatic", ",", "None"}], "}"}]}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{"\"\\"", ",", "Bold"}], "]"}]}]}],
"]"}]}]], "Input",
CellChangeTimes->{{3.5645761979223633`*^9, 3.5645762294855757`*^9}, {
3.5645762933801403`*^9, 3.5645762937881937`*^9}, {3.564576479003666*^9,
3.5645764852213907`*^9}, {3.564576777253709*^9, 3.5645767830927143`*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxVXHlYjuvXTVJSKs2lMqfIVJQIyykaiAgZIkMiivTO80OlEBGZUkpmRWRK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"]]}}, {}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{300.14, 4.704472387061954},
CoordinatesToolOptions:>{"DisplayFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& )},
FrameTicks->{{{{4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {6.214608098422191,
FormBox["500", TraditionalForm]}, {8.517193191416238,
FormBox["5000", TraditionalForm]}, {5.298317366548036,
FormBox["200", TraditionalForm]}, {7.600902459542082,
FormBox["2000", TraditionalForm]}, {5.703782474656201,
FormBox["300", TraditionalForm]}, {8.006367567650246,
FormBox["3000", TraditionalForm]}, {5.0106352940962555`,
FormBox["150", TraditionalForm]}, {7.313220387090301,
FormBox["1500", TraditionalForm]}, {6.551080335043404,
FormBox["700", TraditionalForm]}, {8.85366542803745,
FormBox["7000", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}, {{4.605170185988092,
FormBox["\"\"", TraditionalForm]}, {6.907755278982137,
FormBox["\"\"", TraditionalForm]}, {6.214608098422191,
FormBox["\"\"", TraditionalForm]}, {8.517193191416238,
FormBox["\"\"", TraditionalForm]}, {5.298317366548036,
FormBox["\"\"", TraditionalForm]}, {7.600902459542082,
FormBox["\"\"", TraditionalForm]}, {5.703782474656201,
FormBox["\"\"", TraditionalForm]}, {8.006367567650246,
FormBox["\"\"", TraditionalForm]}, {5.0106352940962555`,
FormBox["\"\"", TraditionalForm]}, {7.313220387090301,
FormBox["\"\"", TraditionalForm]}, {6.551080335043404,
FormBox["\"\"", TraditionalForm]}, {8.85366542803745,
FormBox["\"\"", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}, {Automatic, Automatic}},
GridLines->{Automatic, None},
ImageSize->{731.6015625, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 300-540 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{300.14, 539.86}, {4.704472387061954, 7.523805409157116}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]},
Ticks->{Automatic, {{4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {6.214608098422191,
FormBox["500", TraditionalForm]}, {8.517193191416238,
FormBox["5000", TraditionalForm]}, {5.298317366548036,
FormBox["200", TraditionalForm]}, {7.600902459542082,
FormBox["2000", TraditionalForm]}, {5.703782474656201,
FormBox["300", TraditionalForm]}, {8.006367567650246,
FormBox["3000", TraditionalForm]}, {5.0106352940962555`,
FormBox["150", TraditionalForm]}, {7.313220387090301,
FormBox["1500", TraditionalForm]}, {6.551080335043404,
FormBox["700", TraditionalForm]}, {8.85366542803745,
FormBox["7000", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}]], "Output",
CellChangeTimes->{{3.564576215810417*^9, 3.564576229824251*^9}, {
3.564576294164119*^9, 3.564576297312665*^9}, 3.564576486012578*^9, {
3.564576777990065*^9, 3.564576783851448*^9}, 3.5646794400304117`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["plot",
RowBox[{"600", ",", "850"}]], "=",
RowBox[{"ListPlot", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"570", ",", "620"}]], ",",
RowBox[{
RowBox[{"600", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "850"}], "&"}]}],
"]"}], ",",
RowBox[{"PlotRange", "\[Rule]",
RowBox[{"{",
RowBox[{"Automatic", ",",
RowBox[{"{",
RowBox[{"0", ",", "6666"}], "}"}]}], "}"}]}], ",",
RowBox[{"GridLines", "\[Rule]",
RowBox[{"{",
RowBox[{"Automatic", ",", "None"}], "}"}]}], ",",
RowBox[{"Joined", "\[Rule]", "True"}], ",",
RowBox[{"AxesLabel", "\[Rule]",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}]}],
",",
RowBox[{"PlotLabel", "\[Rule]",
RowBox[{"Style", "[",
RowBox[{"\"\\"", ",", "Bold"}], "]"}]}]}],
"]"}]}]], "Input",
CellChangeTimes->{{3.56457633600669*^9, 3.564576387133315*^9}, {
3.5645764970085773`*^9, 3.5645765028921413`*^9}, {3.564576661557626*^9,
3.564576748000024*^9}, {3.5646783847968483`*^9, 3.564678413480443*^9}}],
Cell[BoxData[
GraphicsBox[{{},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxdnHmcz9X3x60RIiGyhIpki5At+lhnzL7vxiyYMbYZYywzDD7752MZyyBC
ZJdEFCERskVKKJGllFCJSKJ+vF/P92ce39/88368P+977jnndZZ777n3TuO0
kRGDypQqVSqsfKlSj56DH/3ttloc18K3Pbv0vKXUo79PrZbTy7O7dVlw3nL9
4c+OvVbLwgUP/4rPq91+q8X/Yn7NJTPOW3K6VTq9/DOr5VE3Y+aftyQVfXq7
2UGrpaDmBr+L085b7jR7+Mshq+Vh8w0Zs88bT78jVsve282SQh/SG+0+V3/H
5p43+hl8zGp52Gv29GLkOW61PGqWPwt5vlT/mzafMeSsdELtP153UvJ8bTX4
Pjf7sOQ5hX77D0me0+L/8heHJM+3Vku7h3+5ew5JnjNWS8OHBHV67pM8Z63i
O/19S8TDx7Vz+r6teYF+P6/+iqqOlzwXrZYVDx+nc8dJnktWybFmnJ4/WvX7
zgLJc5n+PxkreX5G351jLUc/f/h3Rfp8GjxO8lw1+x8jea5ZhdOFMernV/j5
50me32n/Vp7kvGG1zHz4OcmWp3Y3af/1aMMOG27JHhtcuZLnNvK1y5M8d+gv
Y4zlEfvwuyb/XMnzt1XPVqMtj9TM/gf/uZwjeR5YLY/UqxmDPP/K3yo95Gf8
Xsom/cvlSo7SNssjNtsW5hp2alfWJn5PjpI85Wx6urMlz2M22fuXHMlZgfY3
ciTP4zbh+EqO5aVHileCvn225KkC/aEcyVPVpn7KZkuPajZL90f9NECe6jbh
mZstv3jKJjzjsg2/7FYTfYpHqZ9aNsujx/J9OZZHzZJq26T/zyPlf3Vs4tM5
W3R1bcKhV7b0qG+TXIeRp4FNeh/MktwN0af+SPlZI+QNzpI8z4Fn8jD51fPg
kzlE9m6CvL1HSJ6m9N8sU7g1Q77wobLzS8gzL0t+0oL3GUOlVyubfv9nmPBt
Df0vWcKpjc1y6RHfP7KkZ1v41cmWPO3Ay46922OP0Fy1e9UmOWPGS56ONtl5
QaGenbG33SZ7d0Hfu07J8xryLfdI7u7033Wa5Hwduje8sncPU36P7N0Tfdc4
hG9vvhcRJ31sandvkuztR39nCyS3P/JVHatnAPok5EnOIPyx2yjJGWyTHMuH
C99Q8PMMkb3DbMLBM0j4RuCPL2QI30jaTxkkfKOxt32w8I2h/3qZwjfOJj95
d5D6jTf9a6DwTcR/x6ZLryTiYewg4Ztsk1wHU4VTCu0HDBJOqdi3Tob0TOf7
f2nCbaAZD2nCdzD2aZcsuTLw78vpwncI7demCMcsm/Qckip8h2GvJYOlz3Ds
/126niPBK2mQ5MgBj70DpM8o014D1W40eC9IEb550EeliW4s7Z2p0mecjbhP
Eb752PvwQOlVgH/USVG7iTbLo0dR3UFqV4g/zRggu01G/wcZ8hcr+nUfIH1s
9H9vgPB10N8ribKLk3g7jj5u+g9Jkz4e+j+aLByngv/UdPnBNPg1RZ8ZNtnp
aoraFWH/b1LlL7OIv2Yp0nM2/L9JIk/ij+1T1W4e/vZ1quw6H30qJUifBeD5
epr4LMTejROkzyL4T06TvyzGnmVT1O4t2i+LFZ+lyH9mgOR624zHJNl5Oe9d
EqXPSjPfxUqfVeD3bJr0WANet+Klzzr0tyRJn3ewd8UY6fMu8oTHSu4Npj8M
kD4b8deuqdJnE/y+TxTdZvJF/1TpswX/+wl9PmQ86ZggubbiD5Wwz0e8n0kV
3+3497fosxO8Q5Olxy7izdOfeQz8TiVLjj3Y888B0udT+t+eKn32meM5/rbf
ZrnwSI/UNrLTAehXxEufg+CTmiR9DpOfOiRLnyP0NzlJch7F3rcSZLdj2Hdd
vPo9jj6T0Ocr7PlbgvQ5Qf+XY5QPTmL/APLBKeK9fYqe35j+GSN9vuU9K15y
fMf7K+SDs7yPSpVc35v+1V98z2OvjAGS8yLx0DJZ7S7h30/2F+4/mv6XLLtd
xn6bkmTfn8Hza/z1immfROlzFXzjydfX6a97suz8q5nvI2Tf3/l+LEly3DDz
Ef560+w/Rvrc4vuvMcwvwW8R9r3z/+LvLvw69pd9/zbzWazw+IfvFRKkz33z
Hfv+S/zEJcq+peyS+zL2LW2XXE2iRFfWLrlKJwiPcnbp/XeM8HiM9nkJ+r2C
XfpMT5J9H7fLv8swflWyC//SsdKrCt9nY98n7NLTHS++1ezCISlOzyft4puM
vz9ll9xTE9RvDfgPj5F9a9kZ74nfp9G3SYLwqGOXHM3JR3XhNyxa/dbjfWeS
8GhA+3vxwuNZ+O9IlFyNwOdb/L2xqV+i8HjeLrvtDRceL5j6DFC/TWn/VbTw
eJH+FkQKj5fs+FW05GpuZ3yKEx4t7eK7OlF8WtmlV0qi/ONl8LiPv7ex63k3
Vni8gn1mgUd77HElRnp2sJM/I/FDu/r9PUl4dKJ9nVjp1cWudn7k967Ik814
1c0OLjHSqzv8UxMlpwV9YuOERw/4nSdeesEvs7/w6I29JiTo977I2zRJePih
/+dR6qefKW9/8hj+HJ0ouiDwPYZ/Bdul56U4+Vco/rQ/STiG4R9e4i0Cfzwa
Lb2jkOfpJOEZbVc/R2OFUyz43AgXHnHwfzieGnIn0F//SOGSiD9kRwvH/siz
Mlp0yejXKU5ypdDfrkTpmYq8Z5jPpMO/DeP/QOR9LFz9DKa/cYGse/HfXeSf
IeC7PpY8bxcOAyOYb/Juj2C+SfvrEcJhJP21jhOe2XwfBp6j8JcfIiXnaOQ5
GCE889C/D/lrLP59kPw1Dv+oHyk++fjX1nj5Z4EZj1HqZyL+ezpeOBfCv2yE
5JqMP6TFqp8pyFslQe1s5M89ccLdjrx344W7E/kqxsoeLvw7NEZPD/xsEcLT
izyuWOE5DfsF+AvP6eh3PVZ4FmG/z0LFZyb43I4QnrNL4sHAs5jvjljhOZd4
GMR4Ms/MnzGifwP9ekC/kHz1S5zo3ySfPUe+WEy+rNxPuC1Bf3/ssRR9tker
n2XgMSlJfJeDx+Zg2WMFeNSOkx6r6P9aHHkQ+WsRH2vBIyZW9liH/I0Zj9ab
+SWSdR7+Ojpa7d6D/hTxsZF4KoyXXd8383OM4mMz7fvGq98PyG97sOeH9N8+
Xu22EX9L49TuIzO+Q2TPHYwft6KE206Tf5D62QWe7gT1sxt/HuEvXPbgH+sZ
z/byXiVG9tgHnqujRfcZ8fGzn+gP4L/biK9DZjxEiv6wOf7Fi/5z2jdjfnDU
zNfM778w4zFCeh7H/vmRsudX8B8br+cJ9E+PFd+T2C81RDicMvMH8fUN7ctG
yZ7fol9Ggui+Q15PpOQ4a453icw/6T8ngvkn8TKB+clF057QX8Led/qrnx9N
f4iQHJf5Pph8+TP4zSFfXiG/P4ikvmnGdxT1TfTJJb5/xf5LwkX/G++/4U83
eK8aLfo/kHdTlOhv8d42QH7zpzme+cuf7ph4EN93aZ9DfP9NvLwVIVz/Qb7n
Y+UP9+2Sqy7j37/455oo0f+H/nuhL+0Q/fIw0ZdxSI6a5IdyDvw6SnYr75Bf
+IVJ7goO2el2pHCvSB3qKv5cyUH9LUL0lel/S6zon3DIvjvxx6oO5sth+v1J
5LNFi2915AmLlB41HNQTIoR7TQfrF+ifhv+OMNHXpn2ZcNE/42C87if6ug7Z
6Rz5qb5Dcn8UKD0bwH9jlPyxIf09xfyykYP6Zhj1TofFbti3M/VOh+xZPY56
p4kH8+2mDl98KI4dzCPDRf+Sg/EtWM8WJfy1LnNQzw0TfWv06RYvHF8Gn8MR
6rct/U+KZF0IHnHwb09/taNF38GUP0h0HbHf/XjRd3LIroP8FQ9dkO8m8di1
xJ8M+m7w/yJU9N2RLyFE9Bbw6NxLfHvgH9uYv/RykF/J770dzN/CGQdMexPP
fg752VLo+znwe8brAAf5Ioj5KPpN6Mt8FH7XezIfRZ6DjA9hxEMfcz4K/55h
oo809Q8XfbSD/Bko+hjk6cn4Ekc8nYkQXYIZn4HUP4mP5yOofzrIb4Fql2zG
SzjrEt4bBSouUsH3mTDRp4H/vVDmkeBZGCO6wcg7wiL6DOSrGyP6TOQbHaxn
lsOXjw36YfS3JED0w/k+OVx+NtL0H+ZL2fS/jnw4Cn3nsF7MJb7fDBN9Hv09
GS76McRLY/Qfhz2eCxPdeNqXYr5UgH4h5OMJ+ENf9C+kv2XIP8n0P+inYP/y
rO+svK8kH9vRrwP52EF8nYbehXxvo78be5zpI3ov/vg58++p2HMp9NP5PixK
9DOIryLwn1mSnwz6WWY8RYt+jum/kdRDzfwSJvp5Jj79RD+f8WA+/BfwXhv6
heSLVPgvcvjqBQb9Yofq7zcskmMJ9pyK/EvNeET/t9HnPfx3OfnqbqToV8Bv
GfxXkX8dnUW/hv6HRip+1uKP3YmfdQ7fesugX+/wrfcM+g3wbxgv+vfIrw/6
iX6jGR9+on+f+Hqc/LMZf3mN+u0HyFOZ+PsQ/v6sN7Zhrw3kj4+gD4L/Dof2
O4qymJ+a/U8S/S7yyX2P6D/BPqNnin4P+aLiXPnZp+hXer7o99HfjXmi348/
Xp6jdgfwnxtF+v0geA7ziv4w3y8wTzmCv860Uh8F3/qTqI8i78189gWI/9bj
RP8l9m07WvQneG88gjo9eLYYKvpT4PdZpuhPI8/GVPbfyVcvJIr+jOnf1LvO
km9+CFFcnCN+TzL+nzfzW6joL+Dfixn/LyF/AvPhH+DXvp/oL5v5qbdw+4n+
y0N/hfcmrK9+IT6j+8pu10ri2aC/zvcmzH9+I37GhIv+d+RtxPrsD/zzb9Z3
N0vyp0H/J/LnR4n+Nv4Rynr9L3P8op50F7zKhur3e9A3DxWff+D3baDoH5jx
Hc5+fMl4ZNCXcjK/DNHvpZ3yn1Ih1EudyBtCvdTJ+E+8Pma+k28qOMV3Lvnu
cSf1ecaLSk5ffc+gr+L07VcZ8fIE9IMy5EdVnYzHeXo+SXvrFOZJ7PNucYq+
hpN6nlf+XhP+56ZSp6Ldfq/oazuF53xwfwb+L3LOpS54FE+Uv9an/4XjRdfA
Sd1kDHmL93LsZzdyso/P+YXnnOq3ubk/75R/hZj7807Z5dkM4dTUSb2N/YNm
TtZv7I++5CQeqU+3QL47zJdbYr9s1p+tnfKzCn56vkz7x/CXtvD/Pkp0r8C/
Af7aHjw3B0mvDvhPNOuVjuC5mfVOJ/Tv3Jf6qZM6axD7XE7GAz/93s3sj/ze
HXmOBcoOFif7GozPPcD7NdZ7PZ2++DXoezuZf4fL3n3AvwvrRT+nbz2g/Xrw
6RjGfj3yzg+RXoEl8hj9Bpfob9g7xOmrpxp6hZn+yP5IOHg+6C87RhIPH6bo
GeVUPzXTZe8Yp55l0kUfi/z3UmSHePw1Oln0CfBz9mef2+mr9xl69QfvzGjR
DXD66tuGvVPQf36E9ExDv7wY4ZTO99XMJwfhj6lR0nsw/tGL+Ugm8fZuvOw1
xPTHnrJXFvJtDZC9hqGPA3sNN/E166nwm0V9IBv54wKl9yin6L4Mp67Ae3Xs
lWf6S4hwHoM/rQnAD0vsaTzHk3/+jBDfAr536CG8JyD/2EDZqdDpm98bOE0C
jxqsh6eY8cZ63op8f/STXHYzPsjHDvzzo2Dmr2a8dBPebjMfkI+95KvdIczz
zHwbLj2nof9O1g8znL71iyFHEfHyO+unWdjvXC/pNdvEq5f0KHb61iMG3nPB
Z26I+pkP/+8Zv99w+uq1Bl4LwWthgOjeJJ8FMv4u5n0o9bAl9PdvsPRY6vTN
Hw28l/E+M4D6qhlv0dRXzfwap+cqxpOe4eKzmvZPMN9ei75u8tE69C1mvbPe
qfl1m674Od+3MN/cQDyvDxBeG8n33cOE1ybs7YoTXpux71LO62wh3hqOYH8f
+V/JFV5byQ83R8sPPqK/kWOE03bovxuD3fG/LpwH/Bj7V8kWXp9g/9gRwms3
+scNEd9Pad8pg/OjZrwPFN/90H/C+ZXPaD+T8x4H8dc/BgivQ9g/gP2qw8j3
GfW+z814jhReR/GfD6hvfOH0rdcNvI6b9sO/vjLjj/x7An86EkS9Ffmymd+d
4n1yV/b7Gc9qUL//FnnC+0iO79D3PPOrs2a89FM/35v5LZjzpNDvwT8uIG+r
MOlxCf1WUg/5wcy3xNNl8sGCfsLrJ/zrfhR1TeRdTj3rF+xXh/3Wa/DfRD3v
Ovngvr/w+g18rrEf97tT65+Xe0iuP+A/hPnoTdO/mU/+adovVP3cxj/vUQ/9
y4xf1o93yRe1IjlfauZ38v0/yN8sWPreL8kHhr7/loz/ht7/0b5TGPv8Ln2f
hn3LuMA3VHKVc6ndl+SP8i7Ol0VSf3VxnoH9y4ou5YtLUdRfXYr/FOKhsku/
F46Tvk+49Hs11iVVXepnWJH0rYY8L8yRvtVd0uNn1otPueRH4fOkb00X8+Ri
zpu6OH8wS3rUdomuolf61kG/eOxQl/6uTJG+9VySK2qS5GiAPMsKOA/A9yfz
OA/gYpzLlV6N0Tc5W7g/h74dOd/6Av01GSk5m7iEy6Rh8ucXkb9HmuRuBr9y
6dK3uUt6tE6Rn7RAv7pRit9WJn/mu63RNzyK86cuztdYZNe24J/C/Kedi/Np
7Pe0R/43mb+8Sn+pocK9o4v9vWD8zOXbr1Jexd/uM//o6vKNF6rHuvSsFqG4
6U77nZHC1YJ9LEGSuwfvF8LIs/jjYvyxN/ieZL7W1/zO/NgP+jbsb/WD3/po
yRXg0nnR0tQ/AunvciTzW/DYwXwrBP/czP55mIv9VM53hKNvzWDJG+nSM534
i8J+21lPxLiop4TJPrH4Qw7rgXgX6+sI2SeB+Huf8TcJ/Hf1kn36m9/DxCcZ
e7mZH6aAR6Ne0iMVf/QL57wA/Jdx3mAg/Vdl/TSY/jKpF2SAx/NBwm0I8bmY
8zRZ+E/jNPEdhj51x1KfRZ6mnGMaAX7J1Heyka9gpvjkuNRvm9nqN5d8lTdH
OI4mHtoVy5/GwO+7YvYdsceWuZJ3PN97zVO/+cTHynnqZwL8Ts2VvBOx987Z
krcQ+9UpUj+T8Z9v3ZJ3iokX+2o24jHPKjo78v89kfMDvD8+gXsK6BMzTv16
XBqPPhktOb347/hRajcNfb4fyb0O5Ck/XHLMQP7yg9VuJvGwKE3yziI+f07V
cw74u2IkbzH2upEgeeeRP+oEsm7C/2ZTv1lg+ke0cFyIPseo3ywy8wXz9cUu
X/1b9Vr4pXDeZCn2acP5n2X4a9sg0S0nvhYGSd4V8NsVLnlXId9N6lWrS/Kn
Ie9a4v1asORdhz+fC2K+C559yIfvunz7CZrvou8c9ns3Ys/xocx30e8i85HN
2KNWX8XZlpJ4NnD5kO8nqTdsxd/WE28fwW8v+WE7+ncJkbw7Ga+2U4/+2MxP
7IftAt/JfWTH3fQ/jfMSe8D3Iuu3vcTPrV6Scx/0u8kPn4FXg96S94CJL+uJ
QyXzEUOOw6Z/kX+PmOMx872jLt9+kyHXMfz7TpT0Om7iy37+l+b4xvn0E+Z8
Ip/7U+D7eLHkOkX/3VbI7qfRf/x7suc3wu9Bsy3iewY8Tn6ofr9TfH+wfqvs
eU763xj2Aes+8EjcJL0voJ9lnfzvIvovWiF7/qD+8qYvlT1/xJ7fLxLOP5E/
Di/gvKs5v5jPeQP0GVMse14F739mC59r+F/t2Wr3K9+PzhY+v4HXK+BzA3yn
FQufP9CnR7HwuYl/LphFnYD81G2mcLqN/Rd5ZM+/oA/nnO9d+n9pEvNkcz40
Tnr+A14bR1PPJT7Tc6nn0n4894dKuTknN0J8Sru5LzBc+JRxE98ZwqecWzgE
ZpAXzfYZ+r2CW3qWGsb816380Zz7XJXI858wnlV2M3/IF10Vt/BeWci9Crf0
aTZJdNXcknNKgdpVdwunAQXct3JrPjNllOxU080+SbbwqQW/k0P1rI38MZnC
p45beqcNFD513ZKjebb41qO/zhPUrj7tr04TPs+6xWfHPOHT0E0eXyx8GrsN
//UeXyp8ngP/GcskxwturQ86LRU+TdB39ULh09QtP1hQzP0r8Dw3Q8+X0McK
ji2wR0v2gVq6qQdxz6+1W/73zhT51ctuyX1xkuKsLfrOmsD5WORpla/f27nl
h3fGyg4d6K8e9wNflb6Vvhildp2gfzi/N3Dq7GY+yX21rm7uywzmPhb+czhF
9ujuZj7G+ebX0e+bBPGz4C9R0eLXE3sPCubenNs339S4ZNIzn+/Le0XOh/ub
/tmP8wlu8iXnlQJ4bxMsXIOwTxD1wGDscDFG9g/FX4sCuZ/l9p3/MsSKcMsO
8eynR2KPaM4rR6H/Dc5TxPCe0kf2jyU+a/RmHYd8N6Ko9+JfN1pS78V+AbHi
25/+dnfjXhZ4ZMIvBX2qxzEf5n0P+2/p5IvKjM8D3f+7HzDY7RvPDH4Z6Fer
n/gNIX5Ws9+e5fbVQwx/G2q29xOOw8HrGeYvI9A/N1h6ZZv2Y/6S4/bVU43f
c2l/gv3l0bzP4TxpnttXzzT4jUWeDOr349yWG0Z+bMC+HPHcnfldAe+tuR8x
EXzeCZS/Fbp958c0ryBfWPG3KW7f/MPgZ8VfqoSIn53+l8DP4fat3wx+Lrfv
PI/qv+i3mXqTF/tXChC/qdjnfgD3tqFvGMF9LvLHXfgVmeNHX/GbBb6vsp8z
m/dVfcWv2O2rnxr85pJf9kSL3zz6vwK/N0z9/Bg3kT8dPN8Ej5bMPxfxvp71
3hK3r35n8HvLbWlvzMd6iN9SEw/OV72NfWv3Eb/l+PeyQLVbyfcDnBddxfce
1NPXuHVfadnrnGdAv3DWw+vw1wWcB1uPvgfZj37X7dtPMvR7j/hpxXx1I+NN
PvPr97HXWey3mfxflfnqFuK3WS/qweTbZZy/2+r27W9ofmzq68f82O1bj2h+
TH/uYObHJh6sn3fRvlc/+dVu/PFCiPjtcVu+Mep61Af3Yt9C9Ntnzjew32em
ftHid8DMT+zHHDTzU5D4HTbxjRC/I/jbJc7bHkXe1eT7Y2Y+zJSdviDeG4yX
33+JPCc4p/sV/mz1it/X+M+bM8TvpDnfmcU+Gu2vFymOv0He96dyj65kfDb4
fYe9b0/mPC767y7Q83vkaZgvPc+b489Y/t8A9j03mvow9niP+/g/8J44gvMO
4OUZxXkH/MebI35XsE/fkZxrR54fh0ruq8h/fAh60t/jnO/4FXu9MVD8fgef
/FTGJfApTBPfm9jnNPsrt8hPdRM5n4v8uXGsa9y++19G/PyFPAc5j/o38eQK
Fb97JeOZwe8+8q7lPssD2mdkqN9/kW8X+/GlPHruyxe/0h59/3Sy/Kss53rW
ci+inEfPbaz7HvOI7sF08avgkf/9O1P2ruiR/vNmkZd5f2K25KrskfyVZ/O7
R+2CZ1Iv9kifvzivUM0juXaw71Cde+1B3NN7CnkqTGa+DH3jQj1recT3QAF5
0SM9gsZL7zoe6XF7rOzyDOuWIv5/RT0PdQXqL/XRdzL1l2c93N/Oxq/p3zJM
ejbieyL3z59DvvGZnIdAvtPsbzdBn1apwr2ph3vZzB+b0V9kmOR+ycO5Au4z
NPf47sMYuLYE/47MH1p5fPnYwPVlD+Mz+9FtPJKjXQh1FvpzUR9t5/nf+0nt
+d6R+dGrHl+91tCzo4f5FefZOnk4HxlF/Rj8FwdRP8Y/3ohjnQ4e+6n/due7
f4Dwt9D/FMbjHh7f+RvD/3ui3wrG497gEcv+Rx/8+yvOj/t5fPVs43d/+p/F
/bF+9NdyoPAI5PtHI5k3Y4/5k9RPCO8t2EcKRZ+Pp0uOcI/knD9LeETQf9Ec
7Ex8lJ3H/zfAf8ovEh4xwvP5xLeFR5zio7jFauERL/u0bvcO56CJ/1Ib9EzC
3x/fwHkJ+Ldaz3kJydvz39XCIwW83lrOOUzioeVS9ZOOfdIXMX/G3iMXMH8G
j9HzmD/jT3Xmktew38U5wiOL/0tRcbbwGApe62eq3XDiYcF08RlB/trvVbxk
I89P1CFy8FcH5w5Hoc9T3NMYzffUydRtkadgAuce8O/9nM8aR7xfyaYuwffL
nG8qIL/+xvmmCci3ifGikO8j0jj/Cx6DOP892ePbXzbsZcX+nblPafNoPIpg
f8eBvnepvzrx5+J0yemmv2r4rwd/OJgj//Vin3dYX08D/1fniO908HrjLerL
yo9BCSupL9P+/Frqy/jjmvWsS8A37D3Zq1jyZb62SfLNE/24altkr/mSr3qF
rZynwB9zt3OeQt9n1dupft+U/h3Kfsx9NeHbNGiH7LUEeZK28X+E0Me1hXkj
9qi3SfK9DT7xG2SvFZJ3Tcg7/L8ExqMn18qfVvH9xCrJt4bxo8xKybeW9qWW
y17vYB/3Ms4H873tUvnJu+THqEXcX8PfKi0Qzhv5vnWu6N7Hfw7MkR03kz/+
nMl8mni8R73nQ/ivYd99K/67aQrzaejr5ku+7eDhP1ry7fCoXjIgS/J9TPue
Q6hrI89i/H03/vpUCvfZkGdmKueFkadlLPMU+N1N5P8p4F9VWR8eIJ+u5Lzl
QXO8D5R8h8BrI/eNjxDPNfh/BZ+b43km+xQenVcZzH7vF+Z4kC/5jvO96RTJ
9ZXH93+QdL8N/7nA/+k6aeLH/w04BV61J0u+08TrlYmcH+Z93HjJdwZ/CBij
51n8aUue5DtHf+1yqBvDr1KO5LtAPj9L/fAi/u4dTv0ZeWeMVLsf0TeI/evL
5nwvk//nxftE7HsFeYZh36vwXzdIfnmNfJ2Vrud1/OH2QM5fkG9upXL+Avv9
zH3qP8h3Q5Il303oO3A/8xb+sY37nbeRLy9OfnXHnM9wn/Eu8lTiPOTfyLuQ
+0738P8nOC99n/nC/GDJ8QB+ndiv/Q//afO6cCzFOYRCzk+W9rK+Zj5T1sv6
rA/zay/+y32Ix7y+/WYjP1fgfS/1oYpe6bWxr+xUycu4hHyVvczPgqhHeyVv
ReY/VXmv0098q3l99z8Muupe1m3UP57yMt8inmrwf6NOsJ9VC/2mcN/taeTZ
yvqkDvp+zP2OZ7y+eqPONSBvNPXO+rR/0Fd+0AB8ov3Vb0Ovfn+R+lojEw8/
4dTYlK8P/5fAy/8H4TzcC5yTbk69qintb/mL74u030d9rBn9Z/cRTs1ZNwf0
Fd4t2Lf+ifMRLbFXO/O+nNd3f9rQ42X4be7N+WPT3tQPXvH6zsupPg3+V/yE
cwf8awn7ca9CXzZEeHfyWt4w6gfUbzp72W+hvtHFK//+OEZ6vGb6C/fnu+Ef
a4i/18F76yDuz8Gva5aePfh+nv8f1wv5HiuUPr29Ws/XswrvvtAf4P/U+Hnl
F6Hcc/X3iu4e93QDeC/DvfBA9EnkvHoQ70eskjsE+1XhXkooeDcgjsOx56jp
3KdD3+vsP0RC35/5ZTT2WzqT+Tb0W4qkTxz6/DpV+sQTDw7yYgLfzXPySehb
g3sl/fGn2fwfmGTmrU3RJwV7lef8Uir9HWF/I514e6eA+3XIX5Hz+oPw96tj
pE+G13ffxdAjE/ufGyW+WfQ/NVf6DMV+1bPJ89h70kjpMwL5bg/l/40hz4FM
zisTH89yvmkUeI9LVj+58M9L5L4d9H/Fcd8O/1/DeduxXvn5Bs5DjQfPQOa7
+eBn8ddzgtdXnzP0mWjmn0B+9/rquUa/k+n/GOcTphCPS4gfq9dX31T92uyv
H+sK9O1LvnKB9ybun7rRtw/71x78M5L67FTy3W3q3dO83I9h/2C6+R4qPyvy
WoztmXs9LP8HrobuFA==
"]]}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{600.05, 0},
GridLines->{Automatic, None},
ImageSize->{745.67578125, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 600-850 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{600.05, 849.91}, {0, 6666}},
PlotRangeClipping->True,
PlotRangePadding->{{4.9972, 4.9972}, {0., 0.}}]], "Output",
CellChangeTimes->{{3.564576362044148*^9, 3.564576402132381*^9},
3.564576503384172*^9, {3.5645766622443123`*^9, 3.56457674861125*^9}, {
3.564678385542347*^9, 3.564678414172332*^9}, 3.564679440129093*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "1"}]]], "Input",
CellChangeTimes->{{3.564576536699833*^9, 3.5645765923432283`*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"819.4600000000002`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"570.2119182764324`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"499.8424638450096`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"468.4396070214304`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"451.3419611403639`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"440.8973886119363`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"434.01157919500275`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"429.2166883530642`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"425.736651916743`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"423.12734996642047`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{{3.564576558247736*^9, 3.564576592986642*^9},
3.564679440230989*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "2"}]]], "Input",
CellChangeTimes->{{3.56457659397358*^9, 3.5645765957680273`*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"1174.5432736310113`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"622.6107529085386`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"518.8451675712981`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"477.73973361984105`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"456.65972517645577`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"444.247284879501`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564576596216617*^9, 3.564679440550671*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "3"}]]], "Input",
CellChangeTimes->{{3.5645765968620872`*^9, 3.5645765986325274`*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"332.14766186621347`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"286.43745521414087`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564576599467598*^9, 3.5646794406051807`*^9}]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell["\<\
Niedrige Wellenl\[ADoubleDot]ngen (\[LessEqual] 540 nm)\
\>", "Subsubsection",
CellChangeTimes->{{3.564579431499898*^9, 3.564579445180749*^9}}],
Cell["\<\
Wir beginnen damit, das Spektrum von 300 nm bis 540 nm auf \
s\[ADoubleDot]mtliche der hier aufgefundenen Linien zu untersuchen.\
\>", "Text",
CellChangeTimes->{{3.564576812416483*^9, 3.564576833125264*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
SubscriptBox["plot",
RowBox[{"300", ",", "540"}]], ",",
RowBox[{"Graphics", "[",
RowBox[{"{",
RowBox[{"Dashed", ",", "Gray", ",",
RowBox[{"ll", "[",
SubscriptBox["lines",
RowBox[{"side", ",", "1"}]], "]"}]}], "}"}], "]"}]}], "]"}]], "Input",\
CellChangeTimes->{{3.564576872078437*^9, 3.564576920185281*^9}}],
Cell[BoxData[
GraphicsBox[{{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxVXHlYjuvXTVJSKs2lMqfIVJQIyykaiAgZIkMiivTO80OlEBGZUkpmRWRK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"]]}}, {}}, {}},
{GrayLevel[0.5], Dashing[{Small, Small}],
LineBox[{{819.4600000000002, 0}, {819.4600000000002, 10000}}],
LineBox[{{570.2119182764324, 0}, {570.2119182764324, 10000}}],
LineBox[{{499.8424638450096, 0}, {499.8424638450096, 10000}}],
LineBox[{{468.4396070214304, 0}, {468.4396070214304, 10000}}],
LineBox[{{451.3419611403639, 0}, {451.3419611403639, 10000}}],
LineBox[{{440.8973886119363, 0}, {440.8973886119363, 10000}}],
LineBox[{{434.01157919500275`, 0}, {434.01157919500275`, 10000}}],
LineBox[{{429.2166883530642, 0}, {429.2166883530642, 10000}}],
LineBox[{{425.736651916743, 0}, {425.736651916743, 10000}}],
LineBox[{{423.12734996642047`, 0}, {423.12734996642047`, 10000}}]}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{300.14, 4.704472387061954},
CoordinatesToolOptions:>{"DisplayFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& )},
FrameTicks->{{{{4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {6.214608098422191,
FormBox["500", TraditionalForm]}, {8.517193191416238,
FormBox["5000", TraditionalForm]}, {5.298317366548036,
FormBox["200", TraditionalForm]}, {7.600902459542082,
FormBox["2000", TraditionalForm]}, {5.703782474656201,
FormBox["300", TraditionalForm]}, {8.006367567650246,
FormBox["3000", TraditionalForm]}, {5.0106352940962555`,
FormBox["150", TraditionalForm]}, {7.313220387090301,
FormBox["1500", TraditionalForm]}, {6.551080335043404,
FormBox["700", TraditionalForm]}, {8.85366542803745,
FormBox["7000", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}, {{4.605170185988092,
FormBox["\"\"", TraditionalForm]}, {6.907755278982137,
FormBox["\"\"", TraditionalForm]}, {6.214608098422191,
FormBox["\"\"", TraditionalForm]}, {8.517193191416238,
FormBox["\"\"", TraditionalForm]}, {5.298317366548036,
FormBox["\"\"", TraditionalForm]}, {7.600902459542082,
FormBox["\"\"", TraditionalForm]}, {5.703782474656201,
FormBox["\"\"", TraditionalForm]}, {8.006367567650246,
FormBox["\"\"", TraditionalForm]}, {5.0106352940962555`,
FormBox["\"\"", TraditionalForm]}, {7.313220387090301,
FormBox["\"\"", TraditionalForm]}, {6.551080335043404,
FormBox["\"\"", TraditionalForm]}, {8.85366542803745,
FormBox["\"\"", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}, {Automatic, Automatic}},
GridLines->{Automatic, None},
ImageSize->{740.05859375, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 300-540 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{300.14, 539.86}, {4.704472387061954, 7.523805409157116}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]},
Ticks->{Automatic, {{4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {6.214608098422191,
FormBox["500", TraditionalForm]}, {8.517193191416238,
FormBox["5000", TraditionalForm]}, {5.298317366548036,
FormBox["200", TraditionalForm]}, {7.600902459542082,
FormBox["2000", TraditionalForm]}, {5.703782474656201,
FormBox["300", TraditionalForm]}, {8.006367567650246,
FormBox["3000", TraditionalForm]}, {5.0106352940962555`,
FormBox["150", TraditionalForm]}, {7.313220387090301,
FormBox["1500", TraditionalForm]}, {6.551080335043404,
FormBox["700", TraditionalForm]}, {8.85366542803745,
FormBox["7000", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}]], "Output",
CellChangeTimes->{{3.5645768995958*^9, 3.56457692071817*^9},
3.564679440735848*^9},ImageCache->GraphicsData["CompressedBitmap", "\<\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\
\>"]]
}, Open ]],
Cell["\<\
Die Linien lassen sich offenbar insbesondere im Bereich um 430 nm nicht mehr \
sehr eindeutig zuordnen. Wir vollziehen eine Zuordnung f\[UDoubleDot]r die \
ersten drei Linien. Dazu:\
\>", "Text",
CellChangeTimes->{{3.564577166105172*^9, 3.564577213700282*^9}}],
Cell["Zun\[ADoubleDot]chst die Linie um 499 nm:", "Text",
CellChangeTimes->{{3.564578228866873*^9, 3.564578233393252*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["peak", "499"], "=",
RowBox[{
RowBox[{"SortBy", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",",
RowBox[{
RowBox[{"495", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "501"}], "&"}]}],
"]"}], ",",
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "2", "]"}], "]"}], "&"}]}], "]"}], "//",
"Last"}]}]], "Input",
CellChangeTimes->{{3.564577259339224*^9, 3.564577345653412*^9}, {
3.56457740117846*^9, 3.564577437018824*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{"497.99`", ",", "1420.74`"}], "}"}]], "Output",
CellChangeTimes->{{3.5645773245645113`*^9, 3.5645773459984827`*^9}, {
3.564577432338628*^9, 3.564577437256789*^9}, 3.564679440783836*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "499"], "=",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{
SubscriptBox["peak", "499"], "[",
RowBox[{"[", "1", "]"}], "]"}], ",", "\"\\""}],
"]"}]}]], "Input",
CellChangeTimes->{{3.564578101969515*^9, 3.564578114639925*^9}}],
Cell[BoxData[
TemplateBox[{"497.99`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.564578115729556*^9, 3.564679440839408*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["halfmax", "499"], "=",
RowBox[{
RowBox[{
SubscriptBox["peak", "499"], "[",
RowBox[{"[", "2", "]"}], "]"}], "/", "2"}]}]], "Input",
CellChangeTimes->{{3.564577447235282*^9, 3.5645774623732567`*^9},
3.56457750580433*^9}],
Cell[BoxData["710.37`"], "Output",
CellChangeTimes->{3.564577506081896*^9, 3.5646794408849688`*^9}]
}, Open ]],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["plot", "499"], "=",
RowBox[{"areaPlot", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",", "498", ",", "3"}], "]"}]}],
";"}]], "Input",
CellChangeTimes->{{3.564577880702551*^9, 3.564577912671851*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
SubscriptBox["plot", "499"], ",",
RowBox[{"Plot", "[",
RowBox[{
SubscriptBox["halfmax", "499"], ",",
RowBox[{"{",
RowBox[{"x", ",", "450", ",", "550"}], "}"}]}], "]"}], ",",
RowBox[{"PlotRange", "\[Rule]",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"495", ",", "501"}], "}"}], ",",
RowBox[{"{",
RowBox[{"0", ",", "1500"}], "}"}]}], "}"}]}], ",",
RowBox[{"PlotLabel", "\[Rule]", "None"}]}], "]"}]], "Input",
CellChangeTimes->{{3.5645772483093224`*^9, 3.564577254242983*^9}, {
3.564577476901178*^9, 3.564577517648909*^9}, {3.564577923735909*^9,
3.564577923999292*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxTTMoPSmViYGCQBWIQffirRkz/pzqHR1Ui69xNix2Cdsi1vv5a5zDhEFDC
vtih9XXgDrmfdQ52XNcXF2QWO4CkA//UQdRNLHJ4A5Ru/V/nENMP1NBR5CAP
0sBUD9EfXwRRx1rvwAACEYUOD0H2cNY7VAOph3LFDiCqiqfe4ewZIFApcfAA
KeCvdzAGgctVEHVC9RB7QpscQMpFxOoh6lI7HWxB7pKsh9hzZoJDIUhAph5i
z6XJDksKgALy9Q6aIAcaTXMAqrblUobytac5gLTbqtVDzHGYAqE16x1mzQQC
g4kQd+nUQ+z91APxh0E9JBz+tULcaQy1f22jQxoImNVD7FlcAzHHsh7iz4By
iHk2UPtjSiDh5gC1T7HIAcSNcYbyDQsdwPHjBrVvRYHDNyD3kCfUPV0FEHN8
oOY9KHAAAMEq0lw=
"]]}}, {}}, {{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJxTTMoPSmViYGAwAWIQfeWyMhODQo2DZkz/oa9GbQ4n3lp82ayP4O9l93uW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"]]}}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{496., 0},
Epilog->{
PointSize[Medium],
PointBox[CompressedData["
1:eJxTTMoPSmViYGCQBWIQffirRkz/pzqHR1Ui69xNix2Cdsi1vv5a5zDhEFDC
vtih9XXgDrmfdQ52XNcXF2QWO4CkA//UQdRNLHJ4A5Ru/V/nENMP1NBR5CAP
0sBUD9EfXwRRx1rvwAACEYUOD0H2cNY7VAOph3LFDiCqiqfe4ewZIFApcfAA
KeCvdzAGgctVEHVC9RB7QpscQMpFxOoh6lI7HWxB7pKsh9hzZoJDIUhAph5i
z6XJDksKgALy9Q6aIAcaTXMAqrblUobytac5gLTbqtVDzHGYAqE16x1mzQQC
g4kQd+nUQ+z91APxh0E9JBz+tULcaQy1f22jQxoImNVD7FlcAzHHsh7iz4By
iHk2UPtjSiDh5gC1T7HIAcSNcYbyDQsdwPHjBrVvRYHDNyD3kCfUPV0FEHN8
oOY9KHAAAMEq0lw=
"]]},
GridLines->{Automatic, None},
ImageSize->{742.12109375, Automatic},
Method->{},
PlotLabel->None,
PlotRange->{{495, 501}, {0, 1500}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{{3.564577487284083*^9, 3.564577514572711*^9}, {
3.56457791605259*^9, 3.564577924357953*^9}, 3.5646794410499067`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "499"], "=",
RowBox[{"fwhm", "[",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"497.3", ",", "711.4"}], "}"}], ",",
RowBox[{"{",
RowBox[{"499", ",", "711.4"}], "}"}]}], "}"}], "]"}]}]], "Input",
CellChangeTimes->{{3.564578122182537*^9, 3.56457814507393*^9}}],
Cell[BoxData[
TemplateBox[{"1.6999999999999886`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.564578145926858*^9, 3.564679441082397*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "499"], "\[PlusMinus]",
SubscriptBox["\[CapitalDelta]\[Lambda]", "499"]}]], "Input",
CellChangeTimes->{{3.5645781486428947`*^9, 3.564578157846394*^9}}],
Cell[BoxData[
RowBox[{
TemplateBox[{"497.99`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], "\[PlusMinus]",
TemplateBox[{"1.6999999999999886`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}]], "Output",
CellChangeTimes->{3.564578158443172*^9, 3.5646794411400347`*^9}]
}, Open ]],
Cell["Nun die Linie um 468 nm:", "Text",
CellChangeTimes->{{3.56457823553839*^9, 3.5645782389286346`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["peak", "468"], "=",
RowBox[{
RowBox[{"SortBy", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",",
RowBox[{
RowBox[{"460", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "470"}], "&"}]}],
"]"}], ",",
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "2", "]"}], "]"}], "&"}]}], "]"}], "//",
"Last"}]}]], "Input",
CellChangeTimes->{{3.564578242130219*^9, 3.5645782785841208`*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{"466.76`", ",", "324.53999999999996`"}], "}"}]], "Output",
CellChangeTimes->{{3.5645782677355947`*^9, 3.564578279988556*^9},
3.5646794411847258`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "468"], "=",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{
SubscriptBox["peak", "468"], "[",
RowBox[{"[", "1", "]"}], "]"}], ",", "\"\\""}],
"]"}]}]], "Input",
CellChangeTimes->{{3.564578288247181*^9, 3.5645782928620358`*^9}}],
Cell[BoxData[
TemplateBox[{"466.76`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.5645782935107813`*^9, 3.564679441239646*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["plot", "468"], "=",
RowBox[{"areaPlot", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",", "465", ",", "5"}], "]"}]}]], "Input",
CellChangeTimes->{{3.5645783380841837`*^9, 3.5645783447789307`*^9},
3.564578437080213*^9}],
Cell[BoxData[
GraphicsBox[{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJwtkk1IW0EQx2PpQSx4KIqCaGihoCCUKh6E2k4p1AiBagKCUA8Kiu/tS/ti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"]]}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{460., 195.},
Epilog->{
PointSize[Medium],
PointBox[CompressedData["
1:eJwtkk1IW0EQx2PpQSx4KIqCaGihoCCUKh6E2k4p1AiBagKCUA8Kiu/tS/ti
eyh2R3oJpSelJ/XWxpuQc44a8ROlHsSg4CEiCH6BoCIVpDv+Z+Ax83ZnZ37z
8WTwU2LoQSQSeeE+0VW5ztLYvKWDMWcNBBQrOWPR0mThqvHDD0PFbNhRsWKh
3xuqEGNd/Rd8mpl2smnpPk7cp80NJ1t6/8ajiMi2JQk30eLThBhFS4l8Q+Yk
7dGinO9ZunaqsOThfN/SrEtXTPqUOenJN5QsNbnrqxGP5Lrn0NKwyLgP3iML
v3pD3wTkWP2/K++5JQmX/WpIVHhhwb1rKC0Hl8p3bMB7o/GHfWoVudV4eQPe
O0unLl2mLgB3GYNr1cDvIaOOsgDn5UyvJG+/j3eP1D8MwFvJ4PxnSNpY9Vj/
/xiS8jqrGXl/BeCtZXBOBuhTHcNvLQXeqOYbCFHHU0afatKo+xlDe6PgbWRw
5D7T/W8zo1+xL5jXc813OkpRaXQLk+Dnd9Kos03z/QzB0c7giobYi5eMOEcp
cLxmzOtM9+ut9uu3j7rfMeqY03l1MepYNtivOGM//+p+dWs/t3S/kvo+G6Bv
vYw6bwzm1cc6hxQ4+vX91Ef6D8tnXb8=
"]]},
GridLines->{Automatic, None},
ImageSize->{743.91796875, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 460-470 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{460.03, 469.82}, {195., 324.53999999999996`}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{{3.5645784374781227`*^9, 3.5645784567004843`*^9},
3.564679441383956*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "468"], "=",
RowBox[{"fwhm", "[",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"465.9", ",", "262.1"}], "}"}], ",",
RowBox[{"{",
RowBox[{"467.4", ",", "262.7"}], "}"}]}], "}"}], "]"}]}]], "Input",
CellChangeTimes->{{3.564578468313765*^9, 3.564578497365345*^9}}],
Cell[BoxData[
TemplateBox[{"1.5`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.564578498481789*^9, 3.564679441455117*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "468"], "\[PlusMinus]",
SubscriptBox["\[CapitalDelta]\[Lambda]", "468"]}]], "Input",
CellChangeTimes->{{3.5645785047370987`*^9, 3.5645785149794292`*^9}}],
Cell[BoxData[
RowBox[{
TemplateBox[{"466.76`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], "\[PlusMinus]",
TemplateBox[{"1.5`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}]], "Output",
CellChangeTimes->{3.564578515828582*^9, 3.564679441502695*^9}]
}, Open ]],
Cell["Zuletzt die Linie um 451 nm:", "Text",
CellChangeTimes->{{3.564578554917471*^9, 3.564578563403205*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["peak", "451"], "=",
RowBox[{
RowBox[{"SortBy", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",",
RowBox[{
RowBox[{"450", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "452"}], "&"}]}],
"]"}], ",",
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "2", "]"}], "]"}], "&"}]}], "]"}], "//",
"Last"}]}]], "Input",
CellChangeTimes->{{3.564578567124745*^9, 3.56457860222911*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{"451.03`", ",", "253.58`"}], "}"}]], "Output",
CellChangeTimes->{3.5645785817252274`*^9, 3.564679441552389*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "451"], "=",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{
SubscriptBox["peak", "451"], "[",
RowBox[{"[", "1", "]"}], "]"}], ",", "\"\\""}],
"]"}]}]], "Input",
CellChangeTimes->{{3.5645786059058104`*^9, 3.564578608899253*^9}}],
Cell[BoxData[
TemplateBox[{"451.03`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.5645786095948563`*^9, 3.564679441602859*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["plot", "451"], "=",
RowBox[{"areaPlot", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",", "451", ",", "3"}], "]"}]}]], "Input",
CellChangeTimes->{{3.564578617952643*^9, 3.564578646891584*^9}}],
Cell[BoxData[
GraphicsBox[{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJwtkDFIw1AQhkPAwSJ2sIhCjVZB7CAIFYRq4UeFiOCQIjg0OAhKk5hEHPWg
UyeHuOrgYucO4lBXHdXVuuomdXBx9513B497795///velQ7S+qFtWdaUWZyf
fhf8zCbUe0578NCUPETI9W9PanaA9sDrOcOErvtxVhgNUODNCOHy0TTmA2yZ
cjdPsDh+AnBbbozgcONbID7j6nca4frKxCTh9cXEfSi5SFqP4GfGeEb9WxH4
6M8Rzvnhaoxp9p0nlFn4nghvmaSvmIBx3EW9n0iFd4nw/8+7VHgrBG7zkArv
ConvTSycVZ3HVyJcNULHyPqNWHhB+DZjaT/H8u6m3q8eC6+r/1uLxHebwOVs
NhLfHdVvhMLrkXAu63x3dV7rgej2CJ+sK+l8G6rvNHHEsU+ocFyE+APCcs9Y
"]]}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{449., 194.},
Epilog->{
PointSize[Medium],
PointBox[CompressedData["
1:eJwtkDFIw1AQhkPAwSJ2sIhCjVZB7CAIFYRq4UeFiOCQIjg0OAhKk5hEHPWg
UyeHuOrgYucO4lBXHdXVuuomdXBx9513B497795///velQ7S+qFtWdaUWZyf
fhf8zCbUe0578NCUPETI9W9PanaA9sDrOcOErvtxVhgNUODNCOHy0TTmA2yZ
cjdPsDh+AnBbbozgcONbID7j6nca4frKxCTh9cXEfSi5SFqP4GfGeEb9WxH4
6M8Rzvnhaoxp9p0nlFn4nghvmaSvmIBx3EW9n0iFd4nw/8+7VHgrBG7zkArv
ConvTSycVZ3HVyJcNULHyPqNWHhB+DZjaT/H8u6m3q8eC6+r/1uLxHebwOVs
NhLfHdVvhMLrkXAu63x3dV7rgej2CJ+sK+l8G6rvNHHEsU+ocFyE+APCcs9Y
"]]},
GridLines->{Automatic, None},
ImageSize->{745.1328125, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 448-454 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{448.16, 453.9}, {194., 253.58}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
GeneratedCell->False,
CellAutoOverwrite->False,
CellChangeTimes->{{3.564578622799664*^9, 3.564578647266487*^9},
3.5645786974021473`*^9, 3.5646794417898197`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "451"], "=",
RowBox[{"fwhm", "[",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"449.3", ",", "215.6"}], "}"}], ",",
RowBox[{"{",
RowBox[{"452.7", ",", "216.7"}], "}"}]}], "}"}], "]"}]}]], "Input",
CellChangeTimes->{{3.564578687709855*^9, 3.564578712668502*^9}}],
Cell[BoxData[
TemplateBox[{"3.3999999999999773`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.5645787145112667`*^9, 3.564679441866819*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "451"], "\[PlusMinus]",
SubscriptBox["\[CapitalDelta]\[Lambda]", "451"]}]], "Input",
CellChangeTimes->{{3.5645787177913933`*^9, 3.564578728088814*^9}}],
Cell[BoxData[
RowBox[{
TemplateBox[{"451.03`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], "\[PlusMinus]",
TemplateBox[{"3.3999999999999773`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}]], "Output",
CellChangeTimes->{3.564578729866879*^9, 3.564679441924533*^9}]
}, Open ]],
Cell["\<\
Wir betrachten nun die zweite Nebenserie:\
\>", "Text",
CellChangeTimes->{{3.5645787426892548`*^9, 3.5645787474233*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "2"}]]], "Input",
CellChangeTimes->{{3.564578794024845*^9, 3.564578796108993*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"1174.5432736310113`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"622.6107529085386`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"518.8451675712981`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"477.73973361984105`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"456.65972517645577`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"444.247284879501`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564578796539626*^9, 3.564679441993581*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
SubscriptBox["plot",
RowBox[{"300", ",", "540"}]], ",",
RowBox[{"Graphics", "[",
RowBox[{"{",
RowBox[{"Dashed", ",", "Gray", ",",
RowBox[{"ll", "[",
SubscriptBox["lines",
RowBox[{"side", ",", "2"}]], "]"}]}], "}"}], "]"}]}], "]"}]], "Input",\
CellChangeTimes->{3.5645787574395037`*^9}],
Cell[BoxData[
GraphicsBox[{{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxVXHlYjuvXTVJSKs2lMqfIVJQIyykaiAgZIkMiivTO80OlEBGZUkpmRWRK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"]]}}, {}}, {}},
{GrayLevel[0.5], Dashing[{Small, Small}],
LineBox[{{1174.5432736310113`, 0}, {1174.5432736310113`, 10000}}],
LineBox[{{622.6107529085386, 0}, {622.6107529085386, 10000}}],
LineBox[{{518.8451675712981, 0}, {518.8451675712981, 10000}}],
LineBox[{{477.73973361984105`, 0}, {477.73973361984105`, 10000}}],
LineBox[{{456.65972517645577`, 0}, {456.65972517645577`, 10000}}],
LineBox[{{444.247284879501, 0}, {444.247284879501, 10000}}]}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{300.14, 4.704472387061954},
CoordinatesToolOptions:>{"DisplayFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& )},
FrameTicks->{{{{4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {6.214608098422191,
FormBox["500", TraditionalForm]}, {8.517193191416238,
FormBox["5000", TraditionalForm]}, {5.298317366548036,
FormBox["200", TraditionalForm]}, {7.600902459542082,
FormBox["2000", TraditionalForm]}, {5.703782474656201,
FormBox["300", TraditionalForm]}, {8.006367567650246,
FormBox["3000", TraditionalForm]}, {5.0106352940962555`,
FormBox["150", TraditionalForm]}, {7.313220387090301,
FormBox["1500", TraditionalForm]}, {6.551080335043404,
FormBox["700", TraditionalForm]}, {8.85366542803745,
FormBox["7000", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}, {{4.605170185988092,
FormBox["\"\"", TraditionalForm]}, {6.907755278982137,
FormBox["\"\"", TraditionalForm]}, {6.214608098422191,
FormBox["\"\"", TraditionalForm]}, {8.517193191416238,
FormBox["\"\"", TraditionalForm]}, {5.298317366548036,
FormBox["\"\"", TraditionalForm]}, {7.600902459542082,
FormBox["\"\"", TraditionalForm]}, {5.703782474656201,
FormBox["\"\"", TraditionalForm]}, {8.006367567650246,
FormBox["\"\"", TraditionalForm]}, {5.0106352940962555`,
FormBox["\"\"", TraditionalForm]}, {7.313220387090301,
FormBox["\"\"", TraditionalForm]}, {6.551080335043404,
FormBox["\"\"", TraditionalForm]}, {8.85366542803745,
FormBox["\"\"", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}, {Automatic, Automatic}},
GridLines->{Automatic, None},
ImageSize->{749.78125, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 300-540 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{300.14, 539.86}, {4.704472387061954, 7.523805409157116}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]},
Ticks->{Automatic, {{4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {6.214608098422191,
FormBox["500", TraditionalForm]}, {8.517193191416238,
FormBox["5000", TraditionalForm]}, {5.298317366548036,
FormBox["200", TraditionalForm]}, {7.600902459542082,
FormBox["2000", TraditionalForm]}, {5.703782474656201,
FormBox["300", TraditionalForm]}, {8.006367567650246,
FormBox["3000", TraditionalForm]}, {5.0106352940962555`,
FormBox["150", TraditionalForm]}, {7.313220387090301,
FormBox["1500", TraditionalForm]}, {6.551080335043404,
FormBox["700", TraditionalForm]}, {8.85366542803745,
FormBox["7000", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}]], "Output",
CellChangeTimes->{3.5645787583753357`*^9, 3.564679442065762*^9}]
}, Open ]],
Cell["\<\
Die Linien um 477 nm und 456 nm scheinen gut zuzuordnen. Also:\
\>", "Text",
CellChangeTimes->{{3.564578824771863*^9, 3.564578839289568*^9},
3.5645790432676697`*^9}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["peak", "477"], "=",
RowBox[{
RowBox[{"SortBy", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",",
RowBox[{
RowBox[{"470", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "480"}], "&"}]}],
"]"}], ",",
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "2", "]"}], "]"}], "&"}]}], "]"}], "//",
"Last"}]}]], "Input",
CellChangeTimes->{{3.5645790224554*^9, 3.5645790615047197`*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{"475.11`", ",", "292.46000000000004`"}], "}"}]], "Output",
CellChangeTimes->{3.564579066332033*^9, 3.564679442104002*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["plot", "477"], "=",
RowBox[{"areaPlot", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",", "475", ",", "3"}], "]"}]}]], "Input",
CellChangeTimes->{{3.564579083162263*^9, 3.564579110872951*^9}}],
Cell[BoxData[
GraphicsBox[{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJwtkDFIw1AQhqOL0DmuFbc6O0d+XCJOtnOEItglMXlxrBx2aBAErYIgdhBE
B0UoCiJFQTAgWAVFQXQoSOe6trO53h08jv/evf/ue9MrUWl13LKsfHY4z3iN
dFAjpIOC11gMwLJQV/3ig6W3Rfg+NU7uPcBU0i+2twnNoyw6PkrtfNLfIXA5
PxlI3ifx6fqwW26vekDS9+FjoVe1W4fqt7mGDW5o6n0nQI4vjvV9EMDhwon6
OyFiLpwR2MYdi2BxnBPmuG/ZYJbjksSnEqPC0VI9jDHMsNJrwh5zuesY8d8Q
eHyxHMvctvbPx/jLxib3+h+7RvgfdL+ykb0f1W/CyF5PJFx3RvifCZzsTI/4
X0nqNSN9b+pXNzL3U3ljI/xf+t8XkfD/kOSlUPi7JBxXofD/6rzbEP9QUN8k
"]]}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{472., 220.},
Epilog->{
PointSize[Medium],
PointBox[CompressedData["
1:eJwtkDFIw1AQhqOL0DmuFbc6O0d+XCJOtnOEItglMXlxrBx2aBAErYIgdhBE
B0UoCiJFQTAgWAVFQXQoSOe6trO53h08jv/evf/ue9MrUWl13LKsfHY4z3iN
dFAjpIOC11gMwLJQV/3ig6W3Rfg+NU7uPcBU0i+2twnNoyw6PkrtfNLfIXA5
PxlI3ifx6fqwW26vekDS9+FjoVe1W4fqt7mGDW5o6n0nQI4vjvV9EMDhwon6
OyFiLpwR2MYdi2BxnBPmuG/ZYJbjksSnEqPC0VI9jDHMsNJrwh5zuesY8d8Q
eHyxHMvctvbPx/jLxib3+h+7RvgfdL+ykb0f1W/CyF5PJFx3RvifCZzsTI/4
X0nqNSN9b+pXNzL3U3ljI/xf+t8XkfD/kOSlUPi7JBxXofD/6rzbEP9QUN8k
"]]},
GridLines->{Automatic, None},
ImageSize->{753.62890625, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 472-478 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{472.06, 477.95}, {220., 292.46000000000004`}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{{3.564579093398781*^9, 3.564579111270608*^9},
3.564679442245927*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "477"], "=",
RowBox[{"fwhm", "[",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"474.3", ",", "249"}], "}"}], ",",
RowBox[{"{",
RowBox[{"477.4", ",", "247.8"}], "}"}]}], "}"}], "]"}]}]], "Input",
CellChangeTimes->{{3.564579128421085*^9, 3.564579145064085*^9}}],
Cell[BoxData[
TemplateBox[{"3.099999999999966`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.564579146020145*^9, 3.5646794423589993`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "477"], "=",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{
SubscriptBox["peak", "477"], "[",
RowBox[{"[", "1", "]"}], "]"}], ",", "\"\\""}],
"]"}]}]], "Input",
CellChangeTimes->{{3.56457914688479*^9, 3.564579157037262*^9}}],
Cell[BoxData[
TemplateBox[{"475.11`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.5645791574712963`*^9, 3.564679442457665*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "477"], "\[PlusMinus]",
SubscriptBox["\[CapitalDelta]\[Lambda]", "477"]}]], "Input",
CellChangeTimes->{{3.564579164860289*^9, 3.5645791678599977`*^9}}],
Cell[BoxData[
RowBox[{
TemplateBox[{"475.11`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], "\[PlusMinus]",
TemplateBox[{"3.099999999999966`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}]], "Output",
CellChangeTimes->{3.564579168271656*^9, 3.564679442608453*^9}]
}, Open ]],
Cell["und", "Text",
CellChangeTimes->{{3.564579018206983*^9, 3.5645790183768597`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["peak", "456"], "=",
RowBox[{
RowBox[{"SortBy", "[",
RowBox[{
RowBox[{"Select", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",",
RowBox[{
RowBox[{"450", "\[LessEqual]",
RowBox[{"#", "[",
RowBox[{"[", "1", "]"}], "]"}], "\[LessEqual]", "460"}], "&"}]}],
"]"}], ",",
RowBox[{
RowBox[{"#", "[",
RowBox[{"[", "2", "]"}], "]"}], "&"}]}], "]"}], "//",
"Last"}]}]], "Input",
CellChangeTimes->{{3.5645788564177713`*^9, 3.564578880240129*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{"455.33`", ",", "744.35`"}], "}"}]], "Output",
CellChangeTimes->{3.5645788853455133`*^9, 3.564679442741482*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["plot", "456"], "=",
RowBox[{"areaPlot", "[",
RowBox[{
SubscriptBox["natrium",
RowBox[{"400", ",", "540"}]], ",", "455", ",", "5"}], "]"}]}]], "Input",
CellChangeTimes->{{3.564578908517557*^9, 3.5645789111332493`*^9}}],
Cell[BoxData[
GraphicsBox[{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJwtkjtIXFEQhhdLwc5CUHyCaCEoCopRGFRYESxWBAsX8Y27d+9dDfhgd1BR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"]]}}, {}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{450., 0},
Epilog->{
PointSize[Medium],
PointBox[CompressedData["
1:eJwtkjtIXFEQhhdLwc5CUHyCaCEoCopRGFRYESxWBAsX8Y27d+9dDfhgd1BR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"]]},
GridLines->{Automatic, None},
ImageSize->{747.7578125, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 450-460 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{450.01, 459.82}, {0, 744.35}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]}]], "Output",
CellChangeTimes->{3.5645789117359333`*^9, 3.564679442889071*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "456"], "=",
RowBox[{"fwhm", "[",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"454.5", ",", "376.2"}], "}"}], ",",
RowBox[{"{",
RowBox[{"456.3", ",", "381.4"}], "}"}]}], "}"}], "]"}]}]], "Input",
CellChangeTimes->{{3.5645789489052553`*^9, 3.564578968186705*^9}}],
Cell[BoxData[
TemplateBox[{"1.8000000000000114`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.564578969459697*^9, 3.564679442968152*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "456"], "=",
RowBox[{"Quantity", "[",
RowBox[{
RowBox[{
SubscriptBox["peak", "456"], "[",
RowBox[{"[", "1", "]"}], "]"}], ",", "\"\\""}],
"]"}]}]], "Input",
CellChangeTimes->{{3.564578970305327*^9, 3.5645789884722357`*^9}}],
Cell[BoxData[
TemplateBox[{"455.33`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]], "Output",
CellChangeTimes->{3.564578989426997*^9, 3.5646794430070972`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[Lambda]", "456"], "\[PlusMinus]",
SubscriptBox["\[CapitalDelta]\[Lambda]", "456"]}]], "Input",
CellChangeTimes->{{3.56457899175523*^9, 3.5645790034993887`*^9}}],
Cell[BoxData[
RowBox[{
TemplateBox[{"455.33`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], "\[PlusMinus]",
TemplateBox[{"1.8000000000000114`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}]], "Output",
CellChangeTimes->{3.564579004030239*^9, 3.564679443109251*^9}]
}, Open ]],
Cell["\<\
Als letztes betrachten wir die dritte Nebenserie in diesem Bereich:\
\>", "Text",
CellChangeTimes->{{3.5645791725567017`*^9, 3.56457917767455*^9}, {
3.564579212136585*^9, 3.564579218439991*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "3"}]]], "Input",
CellChangeTimes->{{3.564578794024845*^9, 3.564578796108993*^9}, {
3.564579229928355*^9, 3.564579231487754*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"332.14766186621347`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"286.43745521414087`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564578796539626*^9, 3.564579231886112*^9,
3.5646794432091923`*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
SubscriptBox["plot",
RowBox[{"300", ",", "540"}]], ",",
RowBox[{"Graphics", "[",
RowBox[{"{",
RowBox[{"Dashed", ",", "Gray", ",",
RowBox[{"ll", "[",
SubscriptBox["lines",
RowBox[{"side", ",", "3"}]], "]"}]}], "}"}], "]"}]}], "]"}]], "Input",\
CellChangeTimes->{3.5645787574395037`*^9, 3.5645792349768457`*^9}],
Cell[BoxData[
GraphicsBox[{{{{}, {{}, {},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxVXHlYjuvXTVJSKs2lMqfIVJQIyykaiAgZIkMiivTO80OlEBGZUkpmRWRK
JCUiZYwMlaFQHJJKZPie07vzu77+OVdX77vuvddae9/7vp/H6bV49fSlqioq
KhvVVFT++2+XJ2lhY/LDsTZ3fIFjjT6abfzj8gvDMWJ+13lWtgaI+jDtotWt
cFx361H/sl4fa8aw37gTjg6NoYJ1wwyg8t/PvXDk71+b7zvUAHH5TTb+D8MR
fq/PhSCxASSGJ91fPQ5HS/8LQ1+uMUDbes/Coc1tbdAcboC9e9ifinDUBbTm
zmNovVfh8Bl4dO2Argb47+vi6nBYXXww9rmdAQ6GsQG8C0ft/Zai1Txa70M4
DpcO79PCxtvjP4BP7Oc/HA5cXGGA/75u2BCOc9HrZkhm0XpN4ajUO6++OcQA
tmy6TS3h+DzkU+zjYANctGIBfoZj8cfYAJ0sWu9POP68b96qUBjA4b+fjhxc
O7FxzbZHBihgl49T5+BYkYtewVdarwsHM1bof7d9aYD/6ArrysGCmIm1Y64b
oOQO+6PHgeosl587ztF6hhzUxp2e38fXAB7s10+acLCkj8mO/RsN8B9dXbpz
8JmfNGLRfX3lelYczKm692ismwGm/wfQiwOzjpZRiV4G+O/r7v04uPDpUGXx
ClrPhoNwp1HltwMN8F+6NnYcrL8TvH4Qy+dHlu6oIRw0On9PvTqN1nPgwNRz
zi7JV30E/ffjyEFu133WG/0MlP5wZv/+ab+DzJ/0GsOBgDfVwoHVo80f4GBQ
4/PVIePJH27s5+Uqw7r6kV7uHGRduPd2ky/5w4uD359C9B1mkD+mcPC86zzF
hzTSaxoH1/XMVnivovVmcuAT9mPlq+Hkj9kcbMle89I+mPSax0Glar/EEnda
L4CDK4kjPz5fRf5YzEHwz18lo51IryAORmwwittmTHoFc7B5iFdHjgP5I4SD
1wmnv8ydR3qFcf76uU0vDgcL70b4pLmTPwRsvoVujsUe5A8xB1fjavZXTye9
ZBwUO42MOCqh9day+kgnjd3GJb0iOei28Vin3n6kVwwHH88VXrgzhfTaxPK9
PMrwx0TSK46DvQVV3r9Y/tv0imfX23B3aVUg6ZXA8luin+E8hfyxh4N3UZPW
TAsgvfZxIPzp9ltbSnqlcHA6qHnG5PnEXxoHEvnCSSMXk16HOZgWXHNOayrp
dZyDYTwL87oFpFcGBz0HBaQvHUL8Zf7Pj216neVg6YWK6NMi0usCB/d1pjzy
yCP+cjioXmE76lc06ZXLgffa8y33U0ivfBb/w03HrFXEX+H/4mnjr4j1i059
g/UG0usOG//Xkquv3UmvuxxEWf+780kM8feQA/PP8ozEtcTfYw6GnOn9OM6R
9HrKgXbGH16fFOKvgo03KW/72QTi7yXrl7ApQ/rvJ/6qObiz+cAWaU/S6x3b
D6IyLLVTib86Dtbm/ZJnLiT+PnFQMcTKMCGR9PrCAeNZMDwmhvzexNa391W7
+DnEXwsHFgjLyZlD/LVyYPIj/Lo4gPT6w8Gfu3GHBsUTf6pcxJzO9bi6nvhT
5yLqRMj3sXLiT5OLYb8DyjZ5kF7aXCzbqj2tyzHiT48Lh2uLlt+wJ/4MuEjy
n2K5cQPxZ8LF285VWrvHEn/mXOgETvntKiH+LLnY88n81aFI4q8XF5mHwyJn
cIm/vtz/7z8bLn5qHH1odZr4G8j9m28bf4O5uGB10vbbCeLPnvuXrzb/jeDi
qyTBovMp4s+Zi4h/Bm4sKSD+XP73+Tb+xnHxLrB/lX0q+c+V+7d/tNXvRC7O
cszHlp0h/ry42KanGRJwkPjzZvlZ+8hgzDXynw8XbrcZSeMaqt8ZXKRED+iA
HcSfHxemHJPrBw4Qf/NY/lL5X0ZyiL8F/9OrzQ+LuAjq3sU9NIfyWcqFvxYn
+MR74m85Fx6fVX+9OUH8hXChcdN3ZnAh+WE1F7leBX9eJ5Ifwrk4PTtmbMEl
4o/PhXR/bGMJl/gTcTE0cOR9h0PkBykXjdZzf91KJz8wXJjP0B9m/5byieBC
98aw8HOehkr+ornQfmOXbxhrqORvI6vXQ+6tWDsjpR82czHkSZ/1vwOMlX7Y
xkX6bm27s0dMlPns4EJdaj/PQctMyd9uLjrbWieFJ5or/ZDIRcWZ0uIwVQul
H5K5+FPdZaq9vaUynwOsP1/MvV9TaqnM5xAXz4d+W7PQ1EqZz1HWD477R3tp
WCn9kM7Fif5GxntDLZV+OMXFus9BVX6RFsp8srgwqDnp+VHYXZnPeS4cF3la
uswwV+aTzcWWovt6Pm9NlX64wkWpf9yVwAUmSj/kcXF/ZUDn+2eNlPlc56Lr
w7yxB24aKvO5yfqFP+thnb+hMp/bXISde+FvpW2o9EMpF63J1Su2/iE/3Gf9
pmioPvyJ/FDG+vlpr+MPjAyV+ZSzelw7+Meut6Eyn+dcjLzW9eiw7+TvKi4C
Ejp2eXuN/PCai4XputlFj8jfb7n4ce7fFNUj5O9aVv9+j8udX5O/P3LhdWp4
/aOv5O969veDj6sH3KN6/cr6r9W0a1Q5+fsbF07JKZdKbpO/f3Dxsnx+fGUO
5fOL5WuX5XfvcsqnAw+mazYYaV6lelXj4f2XrNNampSPBg+7vssli1+Qv7V4
WNmrwsC/jPLR4SHG/Yum8B3lo8/7Wz9t+Rjx8Lb0T5FmEeVjysPYmLPWj+9Q
PhY8GNvh3ZgXlE8PHjacHrtnXQHl04eH6DW9Bn+/T/lY8zBbEcn/oWOozMeW
h/xg/zyTl5TPIB7ytPv/vltB+QzlofGLeMDUm9R/HHhYsjTfoOdb0seJh9WD
W+f9bqB8RvEwKf38kR3qhsp8xvJwSVZbNeg+5TP+f3y05ePGw8jl9+K9bA2V
+XjwMGrc4voP1ZTPJB4+3tozcZwa+W0KD6sarwet601+m87Dqwm+YuMm0mcm
Dx0spnhfY/Ha8pnDQ0537QjHasrHn4fuRlp1ufconwAenAZt7KvWjfrBEh4q
GuYxIbbUD4JYfJXYp70f0f4QzIOjz8at1e8on1AeBLmjY8q1DJX5hPH++qMt
Hy4P3s3r75q/p3wEPOj+Dhx67wXtD2IeVGenRSzoYajsB3IeAhqfZkTpGir7
wVoePhQV9NmdS/0tkof9KR0OLKunfGLY9ezHFAq/Uz6beDjT1Rn7W0mfOB5u
Loxd9uUb7Q/xPPR3np85pZ+hMp8EHq7UHVm0po8hzVs8bNLsV7dE1ZDmLR7m
bNeNUTc2pHmLh71T1v5408WQ5i0eygtHbOCxn2/T/zDL99kJq+dbUT7H2Xh3
fQ4y1aJ8Mnhw/679y5b9u3Le4uFA/Y6iF5+oX59l+VgxUbKnkfr1BR7ir3os
PV5Ffs7h4atmuNfASvJzLg8+Q1J6c03Jz9d40My2HGvpRPoX8hBx8eGkwg/E
VxEPSe+FY+M+0P5zh4cvK5gRqxuoPu/ywB9zpGPHP+TnBzxkLmqsdx9Lfn7M
w6zXf6YsMzRU6v+Uh91xFy+d+of0f8FDr4+/uliNIj+/5EGjtOzg6h7UP9/w
0DVy2i1tA/LzWx4+nTI/qq5DfNXxMCL3cLKLD/H1Lw9L34YYH/hD+tfzoLdd
2jF4GPXPRh4W3VO/GuxP/eYbD+r2XmbJXcnPrf+rxzb9f/Nwf2fIxW7mpH8H
PuZOXzBpcCPNO5342NVx3cJLaqR/Zz7CLrnseNZAfGnzEfBq+KmWr8SXLh/W
n1zvXHQk/fX5EIYyH4pciS9j/l+92/gy4+PBxDkJKp7ElwX/r//a+OrJx3KH
Mw1m+sRXHz7G59d7d2Px2/Tvz0dXveBlFydQ/Q/gw9v6WufvG0j/QXwMXzmj
dNsi0n8YH3Wj6jwqIoiv4ez6ex942zDElxMfO+dbXdubQHyN5mPksztbXDKI
r7F8zFsj2n7tDPE1ng/mVMjRxXFULxP4WLr43rGfh4gvDz6q7c7dk12iepnM
R7T4urBlH9XLVD4+PTzjkxxNfE3nw2rW1/PTooivWXy8WKfSY3V/4msOH8ta
W0zKBcSXPx9r8uNVtNYRXwv5iPXdWCISEF9L+Oh3pqXOR0T+CmLzy8ozfllK
/lrBx/xes2p5v8lfoXwskJxtDkkgvtbwkXvTNHJoIfHF5cOnwN3C6TLxJeDj
qNuoqkgh8SXhY9Qqyd2TWcSXnA/RtNXuA/OIr7V8xGTND+UEEl9RfEi/9d5c
Ekt8xbD8DPAP8g0kvmL5MOXb3rGaRHzFsfpmCG7OWk18xbN4jYFBDkHE104+
Oq/OWZ/uR3zt4ePe6iwX/cXE1z4+UoIWKr4GEl8pfHTy+dK5YA7xlcbHLa8N
9wb4El+H+aiK0nhwcXJ7/2L9fnLxXamivX/xsWlKyZfeS9r7Fx+TKmvGdmD9
puxffByevL/beVYfZf/iI62Hdl2nfeTfHD70CoS9zq8n/+by8eqKyq6Cre39
i4+mx2FQl7f3Lz6S7XKLBviRHkV8bO+z0LhSRHoU85F6iGEilpIed9l6G3g3
d9oc0uMBm/894RefaNKjjI8+HpOHuXNJj6d8dNvZe39lu39f/C+/Nj1e8mEp
uHL9zlrS4w0fBT376kRMIz3esn6IXJ15dT/pUcdHnkZ6hutM0uNfPjaY2gXb
R5Ae9Xy83p3667Sc9Gjk48PjoD1Jo0mPbyxf+1ZfmTaO9PjB1nPEIuHDpaTH
bz4azr2X8CSkRwcBpk9t/tmlD+mhJkCBQmhi50Z6dBZgzIzDltOnkR5aAtzU
nmE1ZQvpoSvA4Q/9XX5GkR76AlxW6WH8MZz0MBKgpXnL9ss7SQ8zAbSe2hZ6
7SA9LAQQX3kytdsi0qOHAAZxBXseTSM9+ggQF9A/wXYV4VsLMG1fZvL+2e3z
F7v+kwibi/MIf5AA5p5HBjlNJfyhAlR+yrads4rwHQRQmzT+vc1IwncS4OWV
mgeNY0jvUQIMc2fMDJaR3mMEGLFzTmfTXaT3eAEmz/m56ICc9HYToGvV7q28
VNLbQwDPywGPrKeS3pMEmPLvhU8dNpDeU9j4sOdmDz7pPV2AM8tGDL8vJ71n
ClCscXOmfXv9zRbgn6WHPYSzSG9/AVaHrf2jFkZ6BwjQ6ap6jwGppPdiwd9+
3qZ3EKuv1ereSeGkd7AAA5KWXCuJIL1DBDj7sLIwN47wwwRQuGoN7S8hfI4A
KzpnroybTfh8Ab5WG5XWJRG+WIDzJzK8vUMIXybAstjIXjF7CJ9hv39IMWx+
CPkpUoCeXy+O91lLfooW4NiiuUcbz5KfNgngGvhWqLOH9N4igEXmFt2wfaT3
NgHC1berBySS3gkCGNXZpOhtIb13CxDr1e2Ql4D0ThTALC9GzTmX8Pez+XY8
LbM+RvgHBND4vXVxVRrhH2L9MmlYLe8A4R9j9Xk5cHn+bsJPF4BJrk/QTiP8
UwIIdC0UrzeTn7IEWHv0+5S6neSn82z9jB1/pWAz+SlbgB6aQyO/CchPVwRY
snj8jfA75Kc8AR715eb5p5OfrgvQfXrrmKozhH+T1f9H4uiFUsK//T++2/BL
BJC56r0xae9P9wXICD0knRNJ+I9Yfz25bH1RRvjlAtgfNFGNPE9+fc7ym9pl
2rvj5NdKNp+RlQumx5JfX7N81Ce4HUghv9YIkK7vfLZ6Hfn1vQBpQy4aaiYT
/kc2H8/pPc9fJfzPArhI8WZJMuE3CKAS9bJiXT7hN7P5JFVdH1xC+N8FSNi8
eOXCaML/KYDPeosd0a/JrypC9GzKG/UplfzaUYgDc2SRJ46TX9WFOF7h534n
j/C7CNHHbMejxLOE31WIhU87PTmxgfD1hGi5Mad/fDbhGwrh3TlI8GQb4ZsI
8aDuZdG0s4RvLsQz6x7eHqlUD1bCv/2grR56CXFxeni3Ve34fYXgrP+w1GQ1
4dsIcfZOxIqblwh/oBCjV4TvXtiOP1gITW5hjPZBwrcXQjWg250lpwh/xP/i
bau3kUKUzbm6Tmsr1ZuLEKeGaZ32OED444TYvniev0M84f8jRJKh+tRf7fFP
FMK/3yGN7u3xewrROizMvfA04U8W4u6TwrE9HhO+jxBWL+dcO/eR6tlXCJ1c
j3+4+YQ/SwgcGrHI9SHhzxXijdpvqWMy4c8XYtqT1P35zwl/oRD61y9/UNlG
+IFCqLVqDy6oIPxlQlgOzBk18h3V80ohfn6fo9vrHOGvEiLxVda5HjmEv0aI
HW/XCSviCJ8rRGy3A2cCswhfKMTzlq0nXpwnfIkQDT02PDQ9SvgKISxK39x+
95jw1wkRMWPpjw6aRkr8KCECCxZ0GP2B8GNY/x07z+37mvBjhbj9eEnPqirC
jxMi5WrNkwXPCX+7EOu7rbA6/Jzwdwphsmvzhy+NFP8eIW7V1FyNbyb8fULk
SHg1o/WNlPgpQqS72Zc9G2ukxE8TImC9qDh0vJES/4gQcztNaBh304jmMSHq
Nj7r2FhL8WcIsdKrT+jkh0Y0j7H++OW8zvEd4Z8V4vGN7i/P7CT8C0J0LDtp
XLeM8HOEqBr+0r9LB8LPZfHeprV4mhD+NSHKQ7XsijQI/zqr9zcTA0kB8VMk
RPY8mSPvMfFTzPJ3N3RcUbv/S1m90/a0vs8lfh4I4fre/l1cGfFTJoRLs9mD
5+3+LxfCNtg453AF4b9g/Z+zLtXxBvm/iq3XRYeX9S0l/Nes/xs7jxBmEP7b
/+XThl8rRObALdUfbhP+R7Y+bnl0fXKW6rdeiAkDdRXP8gn/K+sfZpGD/QPC
bxZivvPy3mNyCP+HEGNcZIV+Jyn+X0JcUaj9E/WE+oOKCE2Hh9fl3CN8NRGq
dPt7qOYQvoboL39t+F1E6OHEH5h8h/B1RJi4OPzz9oPU37qJ4O7+YXt6GeEb
itAt07jl2jPCNxX97Ydt+N1FCJEZ2ya9JXwrEc6cWm9l+oL6Z2/R33muDb+f
CJ6jtoxuvk74NqK//Vf5/FGE6w8se88tof4/RAQNp/6zA15Q/7cXgfMr57G9
tpES31GEenHShL1ORkp8ZxEe+acPsZ5ppMR3EeEgotZ3fWqk3F8gQljtDIGV
pbES31WEsT6HytctM1biTxRhT6T1qRcRxnSfL8Ks4W+SFG50H+0twvNB2kZF
g42V+6PPf/m9ffXyCeHPEGFdRe2r9CgjJb6fCCpLHCfuczdS7r9zRXj5otus
RwPpvnu+CDX9E7L3ttL+u0gEFyeHG4de0v4bKMLoGdmXujbR/LBMhNu960++
6mik3N9XijA378bs4hba31eJECCPvLT8Pu3va0RIEtxZPa6Z5hOe6G99tc0n
QhHeD+pqWf6F8CUiZLpx1PVraH5QiJDvn9FR6zLNP+tEeBAXYqNuaqScf6JE
GGpg1im1mvA3sHquPMbf9pvmn1gRVqoe+jZanfpBHOun0c0dzxtTP9guwsDf
k2N+/WOkxN8pwj9NvV8OCSD8Pay+If2L342ifrBPBDfLF5zznu39TASFaE5r
YDt+mgjyRMu9JoPb+5kIjvZNG1Pq2s+XIqzaOpapqmw/X4oQ+YJ/Z1Wn9n4m
AvN2Xn3jHfLjWRHqBuQn7LAwUvr9gggPqx/c7vCN/H5JBK1tw3qtKCf8XBG+
3frctNuM/HhNBMOkCGsXFfLjdRGEr/S23Koh/CIRxl80c3jaQvVUzPrFesz0
lm5GSj+WinBSY1VD13dUTw9EyPINvLFdjfDLRFhfsststp2R0i/lIuTtcHaV
6pIfX4hQOqqDDUeF/FjF+jV1a+jCXoT/WgT1zMWvTG3JjzUiNLSWjJk62Ujp
x1r2+zVu6wcdJ/yPIizv1kVztchY6ZfPImRcWBhQMsJE6ZevIvwMuu/JtzZV
+rFZBLXRy4Ujdc2Uen4XYeOLbBf3GDOlX36JYGIZUj8rz0zpFxUxXiXer9UN
N1PidxSj2CTnxjlrM6WeGmL0HPPu+iiJqdIvXcRo3R9RPP6oiRK/qxgquzMc
e/cwUeqpJ0bdzpbhr6OM6X0KFr9hyv3nfY3pfQoxjp36/XW6vjHNZ2LEPF06
YYeTMc1nYnQOvT6lZLcxzWdiPExLLhh/xpjmMzFGmSy+VzzQhOYzMVxLLh6r
iDah+YzFC3k90VDFVMn3YDafxJ4LS9aaKvW0F8Ny9GU34x5mSj1HiDHr5PFu
aSfMlPgjxdAu9FvC62uu1NNFDN0Kg/NikblSz3Fi1Hfaf335bHMl/j9iDHAa
HYAJ9PxpghhBVd9lzVvNlHp6irG59uO1X/dMlXpOZj//fvbF6S9NlHxPFaOD
8Zsi1cGkp68Yqr/6LPBnjJV6zhLjxnSrad2aqT7niLHBKaQ+WmSk1HO+GHY/
12jYTKT+slCM3U/zWlP7UX0uEaPJXjNzhRrV5zLx337epucKMQbKv/sZ9KT9
NFQMg/tnTZ7rUn2GiXHBX1Z05inVD1eMN8GSCZ3UqT4FLN6mgyXLrY3ovl+M
8QlqA3V0aL+QizG8zMEgcTDVz1ox3lu8eXDfluozUgzbpqPhzZ5UPzFirNSK
tjYVUP1sEmPJI30NnRtUP1vEmL7t4a2ndVQ/21h9LwyK+xxI+0WCGPZjdMoj
mmi/2C3GnwnR8RvmEN+JLN/+g8ICConv/WKkD8oMnFtnQudNMUpH3rAzG2FK
500xKj8452qMN6Xzphj5dbZN2xeaKv2dLob4SOu+5fNNlXyfYvkctnqF0MVU
yXeWGEb6/hnGH02U/j4vRtqBDeKd7PptfGezfGy2fBNpT/VzmeVL+GNTeaqx
ku88MR5dfv9kuquxku8Cth4mx/vafyE+bohxf6ibbfx64vu2GD8bODulUcR3
iRgr+mhfttlA/eSeGNaTBgVrHiW+H4lhdezK6EBrYyUfT8TYWNO7yXwe+e+Z
GFECv17R5cZKvivEyJwSd8zltTG9HyaGxtU7m5/dNab3w8SYNNDNRTeV+tU7
MeYnqyb4hxkr+fggRlFEdcRgdj9v4/uTGJoBT0NvHiD/fRFDP5s7uFlM/msU
g2ssOHlfQvtPC8v3txNLz04g/7Wy/URz9LzSYPLfbzHWbD5nO7AX8aEqwYvJ
TQbfQomPThIYZ5s9fv6J/NdZgmeRHSJLDIzp/l+CbqcHjXNLpnlFV4ILHruX
dHQ2UfKhL8FtJ5tU+RYTJR9GEngsf9Jr+EYTpf/MJGCaWp90OWxC92cSLH+3
ZmCdN/mvhwTf/IzibH4RH30k2H7i27ft14gPa8lfPtv4sJXAemh/4eQ1xko+
7CT4MWNYwz4T6q9DJTDQum1xvAP5w0GCDuNk62s2Eh+OEuwIPrP78hbiY5QE
C8bKr4cvJz7GSKAdarVth5j4gAQ5/4YXPLcnf7hJ0PJ2+sfHzlSP7hJIo0ov
bPOj+cpLgrxesXVGPagevSUYtjj+j04n6k/TJNjHP9OvfhD1pxkSBDgVDd81
hvqTnwQxMw6/+DKG+tM8CUbJRu02MKX+tECCoqlXxkZ4kj8WsXyPOtz8ZAz5
I1CCp64tbnYu9Dx/uQS7hqitqRCRP1ZKsOqjR2kVqF5WSdBr04/h18yIj3D2
82pvfpj6Ex88CT4kHYi2GEn1IpTgyEH/jKVTiQ+pBOpj7G9P9aB5UCHByNfz
/ayGER/rJNhzcpnNctv2eU2CWec+q6r3JD42SLDFdNb8EZ3Jz7ESFNu7Bw8x
bJ/XJHC1DzWonUT6xUuwyN1hk60Fnd92Sv7OE8rzJ6un75bHI2aTfvtYP+f3
KeMMJT5SJBiU756ywIH0S5Ogf7I8+5Yj8XGYjX/tsru/x5B+xyT4Y8aXZUXT
PJIhwcwXedP855F+mazfnDtMKpxrpPRzlgRd1I6NTJxH+l2QQN/WZfMxL9Lv
kgTL5sY9eepG8V6RwDnP72mXoaRfngRJIW9Uy8a3v48hwT87dcKGGJN+NyXI
bBp057ENxXtbgqXjtk86a0f6lUrQ547lvjsDSL/7EmwKFaWWts9nj9h6cxIk
zdMm/crZeOMHeE3qQfo9lyDYqN+Ms06kX+X/vt+m3ysJMgoHrF2sR/rVsPUo
tld4GZF+71n/p2uuzR9M+n34X/xt+n2SQO9Ut028yaRfgwQlfXMGd/SkeJvY
/A907dVsR/q1SKCzdXVD2r90P/eT5bso62Bh+zz5R4IH1Xdv6FhQvKpSpHAO
3XGwJv06SXG2JP5J2TCKV1OK/cvrhl5yIP20pbh3+I3ikwPFqyvFNhXFCTs/
0s9AioNTDbPdfCleYynSHhY7628j/cykSPVx9zXiUbwWUozo/tBEP5L06ymF
1C3QrTWe4u0jRXPCucDY+6SftRQ+p6qZrM60n9hKcUmnUevjZ/LbICn2ZVdx
v+nRfjJUip5DfvXc0D4/OkgxVmA1S82Y+qeTFD/GqdZaVVG8o6TIfiuvqelC
/XOMFOeuh0VrP27vb1LoWX7s27+G4nWT4sajqGrNk+39TQqnlE/F2EDxekmR
7F25OjCqvb9J8aCkS22nQIp3mvRvf1T2NykSshVzO7lQffhJ/9absr9JEaNl
s+RS7/b+JsXavoGLyla19zcptJ+/5HX63t7f2Piibl/MKKN5YLkUM9+LvXpd
MlHGu1KKR4uCU1Tu0ry7Sopog1uhtYfN6DzKxjtsx/gWB3NlvDwprH/aDXLk
mNN5VIpY92d9zvia03mU5TNrUr+WtzT/K6Qwz+jwvdtQMzqPSlFjdr0yzseU
7tekqDxSU/Qpkd6vipHiSGPyLs/7FG+sFBah0onCKbSfxkkhcT2ovvQF8Rsv
xYmoq9Eu8cRvghTqcdFR5/YQv3ukcHBZEOi2mPjdJ4XXh383TZISv/ul+HV8
0mK1OOI3TYpVCTkC9Svkh8NS3Jbc6FeYSvweY/01fV/SxnTyQ7oUXcrWfnJ7
S37IlKL050Tx5ZvkhywpIjm8m0ufU7zn2XqrDwju84TizZZiPc8g26uE6u2K
lJ2Pn6+Ifk3x5knhaz7Gc0YW1VsBq0+ZiVq/HRTvTSkyKhel/buJ4r0tRY+f
NsFf+RRviRQDW0ZvmrWU4r3H5h8Zu6pydPv8JkVdZIPfkkUU7xPWP2XCUZtc
qT88Y+OrC72U5kPxVrDri8y+cYMo3ldSeMTtX9r7H+pn1VK8KF9k9S6E4n0n
haDkjd6uSOpndVIETNAtd9xO8X5i1zdeV6MST/3sixRx/c6FqKdQ/22Uojzx
3ETeAYq3RYppFcXPJwRT/22V4n1NUKxvIsX7m83vcYYu5xj13w4yHJ96YNLG
JKoHNRkm8Ezy7hyieDvL/t53tu0XWjK8btJYGn6O4tWRQXW0oDTrIO0X+jLI
61e2dtlN/jKSYWbV4EBconhNZTiQ9TSlOpv81V2GOfWf+z2rpnh7yFDLO997
1kSa13rLEK1z71XNGuo3/WTo5Pflhn4uzWs2MqyJ7NV3uSqdV+1kuBwSUjik
F9XvEBlS18UHqj2j+zB7GV6Z97Y5mkT9cYQMUs/Hd3R86HzjLMOkU8EvhzpS
f3SRYfaWZY6v35Ne42T4KMq3fXiA/OUqw6rFOssRTnpNlGFQclTxrD2kl6cM
GxuqIl2TyF+TWb67yF/1nE56+cgQ9uvUcnsR+ctXhpZOl7vtuEx6zZLh7DON
xsiD7edTNp9DaNUqbj+fst8/vrXWQ4Xm1YUybN325uGZr6TXEhkeDB0wWV+X
7gOCZHgzqGel2SC6D1whg/bdW/F7WkivUBkGatyuWP+d9AqTIWHC1BtOb0gv
juzvfbry/X8ZtNRCP87Npn4rlkExZI0kI53qSybDZqNjplFh5C+GzSd2pXOP
TOoHkSxfwR3KXyRR/tEy6B3wUzmVT/1gowzZzcbC7KT292llsNx0pHjDUcp/
mwy/B36MCUyhfrBDhqCyHtUfkkmvXTLEOQ8LKntGft0rw6299Q0t10ivZBmG
HC2Le3GW9EqVQbL99Q6vRsr/oAzB+zU31XWl88tRGZbp/2ieN4HOcydk2P8m
ItEqkvx6UobVjkc8sw4aK/U6LUNJbe9diefJr2dlsM0o+HZtHfXviyz/KSu9
70rofJHD+vGz9PCkaeTXXBnKc+d3V59Ifr0mwwlV1SSzoeTXQhn0FZqKhnnk
1yIZ/uzeuf7aPNrPi9l4DiYueeNN+pfK4Hw6/tDNKXQf9ECGa+NXrbPxMqb7
NxkCpGMjlvWh8305q9/y6MLK5vb7Nxlyv26ZwnSk/KtkuPD0vcFANcr/Nfv9
kNofmgXk1xoZntSnWyhqSP/3MjSpf3k9t4j0/yjDh93JoXnF5NfPMow6/efF
qXrSv0EG/8jnF33fk/5NMoz+trKfRQ3p/10Gj1bF4Vwryv8n269ivC/u6ED5
/5Hhs5Ob3hY9yl9Vzs6TucYrG0l/dTmGMaWXg3Qpf005xhWa9fB1ofy15Rjw
0MBwnA6dt3XlsN4/+eo5NcrfQI4xMRlH5a/I/8ZyKBp0Xx0rbp/n5PBN77ZF
s5Hyt5Cjv/nMvUO/t89zckyftDFhxcv2eU4Og3NDrtysoPq3lmNlR9/mh82U
v60cTgdvnBU8oPwHsb9PHeHK79p+XpX/7Z/KeU6O9ykupfZTKH9HOR7lTjvZ
05Xqf5QcLXmrt69sfx4wRg4txmlj2XLKH3L8eysz9uhAyt9VjtgKhee+sTQf
usvh5/Wzeoke+clLDr0ue59cGUT92lsOt3lf5EkD6H7RR45rv9Udenakepoh
x1v3XdINP6if+LH8PJda5+jS/chcOcb/qJthpU/1NF+Oy263Tx1XpXpaKMcv
3sizz3pSPQXKMcjy5t63dlRPy+TgJyx6tG0k1dMKOe7XP1A7PYPqKVSOGMNJ
39eG0n3LGjncT/n+/HSK/MSV4/dO3ve4EuJTIMfas6JeSU3Ep1iOgBU6gj/D
Teg+To6TEe8nNiw0ofs4OXin57id59P7/pFyOHwy8IrcSfcV0XLc+G048W66
Cb3/IUdvm2Bp7j66L9sih8ue4tEtYrrP2iZHRabOzg7LaB7cIUdRv1Qdx74m
Sj53y3Ev1Lv/MQ3a/xLlOD7fbMDqPOIzmeXj4eQm+0PEZ6oc6ldel/xIIj4P
snx4t76aHU5+OioHd/jkSB6IzxNyLF2zI6ZpKfF5ktXXd+XNcR7E52k5kp/U
DZPbE5/n5Igb//j8Pl/i86IcRwp3CZzdiM8c+d/7sDY+c+X4WOQq+ulD/syX
48f+PfU/G9v7nRzDVz90iT5GfBax9eOWPc0lz5TeZ5PjoY7DJ5dnNF/fleOw
oI/Xzrvm1O/Y+uy6KXCPV3d6firHnCO7JydHdlfyWS5HobrZ7tDp3anfybGr
sirf4J459Tu23qO9P/42N6d+J8eVmxZdQhzoeUCNHGsy19f222lK/U6OY697
bXUop/nkoxy6x4f7dlpN+nyW4/H2htdf9en+q0EOEz5/eWAt8dkkx1G1LqNl
H4jP73I86KDPtW8kfX7K4X+5ZV/xDdLnD8t/wO+KzOukj6oCdyPjjpfnEF4n
BTLzqh2eMMSnpgIuarmRF6pJH20Fei5VtTU1N6HzqwJVE9/nLh9nqtRHXwG/
O0INqcKM3s9V4Mgc2afBJeb0fq4C8zsd6n7/Q3elPhYKrCnvZdE3wYLu5xTY
GPDzej9NS7qfU6AxbX36aw369yzWCjzoX+3c+4SFEs9WgfSjXWa5d7RQ6mOn
QMxLDS9zX9JnqAJb3mXXlDmTPg4K+PcTNo2bS+cpRwXmpbRcnLWOzlPOCnin
dp918xTVj4sCI7+s2DOkH+kDBRqmXzs49WT781QFhjYprBsEVD8TFQjipqgx
flQ/ngrs6b481NGH6mcyi6/i+V11KfUjHwUqSzUXdZ5L+vgqkGc5kvkWTPrM
UiDR8MpQ/bmkzxwFYq9fbfFZQHrPV8Dhnprfym7t853i7/6knO8U6Dw77N+0
/oQXpIDXIv/i1Knt850CR79fu7p+HukdqkC/dPVxrUGkd5gCrn7BNSXJVI8c
BdLeddr/Zy/VI1+BCwcMAydtITyxAjOCfEyttxCeTIFLExP9OXtov2DY/Gsa
bHJO0H4RocD4yo7nemfRfhGtwIQFuunr4mm/2KiARrXzjE+ltP9uViB+XJ+h
qx8S3lYFhBMsVSI6Ur/croDB6HXHBwymfrlLgZVzuo+onUL9cq8Cw+vE2Tfm
UL9MYr9/bu4QgYj0TlHA7NXbh3pTqF8eZOOJHI3oUHpecYTV48CHrLEuhHdc
AScXjntcI+1nGQq8LO1efKye9rNMBd7qWoRtyia9zyrQ+mtVXH4p+eeCAqu+
vDv1byT55xIb/+KIlWYnyT9XFAgQuY23O07+yVMg43jGnbjthHddgf4nz2wo
P0B4NxXY1Xmahu5OwrutAKO+KjJtM+GVKHDl37lOtScJ754C7p2dmHwB+eeR
AgnHXjs2isg/T9h6eqVwGiwl/zxTwKT/4yunvdufRyjgPFb6CP7tzyNYv7/R
Nx62nPCqFVh3JnORZxjhvWPrSRz8TexKeHUKjMp6l+okJ7x/FSiY2TSvUEx4
XxSQjn+/acFu8mOjAvnjCyomZ5MfvylwvPbPevPr5McfCszKnJy34iT58bcC
J284jUutIL+oMAgXy7I3nSJ/qTLoa1xl82Az+bEjg9IVGi4jN5DfOjEY7Tbi
lJeU/KnBYK1ZfouHiPA6Mzj2vra6dzDhdWFwb/62272EhKfFIHqS69dzawiv
K4MB/h12ZkRQfroMLt347DH2JvGhx+CZ74zUerbftPGnz0D94Z8XEU/oeYcB
g40tOceurTFV8mnErq85Zp9RIz0fM2Fw/szKLDu5mRLPlIHi6Z8j2QVmSjxz
Br0fW+uaP6L7qe4M/szup9E300yJZ8kg6saAjo4cel7dg0HF2xyv35aE15PB
4ouZzvnP6flbbwa1yT0bZilMlXh9GARPsHtf2Jni68eAl/593dZYEyVefwZu
25a9fj3dRIlnw2DGrlWL43Qo3wEMxtcbWV59SvOfHYN5vollA59SfQ1ikAJP
94DOVI9DGBSmVPLXDKH6Hcr+nlqv0Iyh+rRnoH3OSOfMXarn4Sx/A11dmn9T
/Y9g8NM66EeYvim978zAtrA4vIL9Xfk8msGjay2jom4T3igGKgdjlzxcS3gu
DDQPr0xaP4nwxrDxO3uP62lE8Y1j17/l52P4k/oBGIRO00s7WkvnoX8YxERO
ib1ylfJ1Y+Bvv/76gDTKdwKDrY1PHlt8ovOEOwMX14DqqFbC82AwM/7k7D6j
KT4vBhHFs/frRVF8kxl8LByvl1NL8XkzWCUu86jpTvlOZXDd1UHlagDl68PA
2vKTIGwFvW8wnYGR07fZoc6mNI8zOG41pPm+Du2XM9n1yma6hRylfP1YP//4
bjt2Eekxm8G/Df6tjqMovrks/7PVb6ZqUXz+DE5+3D9hSyvlO59BYp7dpsuf
Kd8ABiuHxCw99YDyXcjgwzftAi0NwlvMxh8lk2lZEl4ggy+3f3geCqR8lzJ4
7DG39vc+im8Z64+qyoCZuRTfcgZ22nbTVb4S3goGOh9GbR7+nPBC2Hr0G3FI
/yDhhTK4PK+Ty9NYwlvN6pNV/9nLhvDCGBQPnxOf3pHwwtl+sMCkm4su4XEZ
vFtYyRwpoHx5DOotNn5L2EL5ChiYOog+TTlI+QoZLJpQ/1Izl/wiZsAd28ly
yyHyi5SBlu39DF4J4ckYCO6mT5iqRfEpmL/zfhsew/q1eOBeppnw1rH+u9Xq
JTCm+CLZz2//ZhJmRflGMShK6WIvaaD4ohn4Rtuk1TRTfDEMDjtOOX3oMuFt
ZOD97+s0bi7FF8ugeUFyzrvTFN9mBk8/X7xdc5Pw4hiYHUiKOplIeFsZiP95
b7kvkfaPeAYP3Kb0KLtA+8N2BjYJZzzfnKf9JIFBstHjda6nqJ/uYvk3HHck
uYD66W623h75LN5aT3h7GTRdEwfZ96B+msj2+8+ND4q+EV4S248u/BQ5/iC8
/QwWbNl9JO0P4aWw/K9NVF/Q3q8O/NdPZ60dpkJ4aQxOySKGcW4S3iEGtyU5
J3beILwjDIR6tsdnZxHeUQbZuu8kMy9TfMfZ/hpy46BgF+V7gu0/VwakT82i
/SODQaalxxPbQ7QfnWIg+uwJ4VnajzIZ5C20Mai8QPvRGZYv90dxomzaj7IY
BO5oOReYQ3jnWP4eRIXvvUN4FxjEX1ukWX+E8C4yuOq0KX5NPuFdYvPd9zTA
5g7h5bCff6GhElBJeFcYTNXq+uP2DsK7yu6vV2/kZ5whvDwGsbrvK5PyaX7J
Z+v5T2rIhzyaTwrYfvX5zKpVr2ieKWTzSegcVNSJ3s+4wSDo2KTQhT9ovili
+0P94aiT3Wk+v81g3K5Knkk/ej+qmME/rq3uGSZ0niph87faNmV5L8IrZXBx
xIA0fgc6X91jcMFi5jdvA8J7wEC1Q4dVfbvTeech2885NSOOdKL3DcrYfq8V
XpDL/l35//dhYNJ3tSi1M71/UM7yITDRG9Wfzv/P2Pr23HCipR/hPWf3a58F
z+oGEV4Fg6NT44r9rAivkkH3UaNfDmf74f8BXU6FQA==
"]]}}, {}}, {}},
{GrayLevel[0.5], Dashing[{Small, Small}],
LineBox[{{332.14766186621347`, 0}, {332.14766186621347`, 10000}}],
LineBox[{{286.43745521414087`, 0}, {286.43745521414087`, 10000}}]}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{300.14, 4.704472387061954},
CoordinatesToolOptions:>{"DisplayFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& ), "CopiedValueFunction" -> ({
Part[#, 1],
Exp[
Part[#, 2]]}& )},
FrameTicks->{{{{4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {6.214608098422191,
FormBox["500", TraditionalForm]}, {8.517193191416238,
FormBox["5000", TraditionalForm]}, {5.298317366548036,
FormBox["200", TraditionalForm]}, {7.600902459542082,
FormBox["2000", TraditionalForm]}, {5.703782474656201,
FormBox["300", TraditionalForm]}, {8.006367567650246,
FormBox["3000", TraditionalForm]}, {5.0106352940962555`,
FormBox["150", TraditionalForm]}, {7.313220387090301,
FormBox["1500", TraditionalForm]}, {6.551080335043404,
FormBox["700", TraditionalForm]}, {8.85366542803745,
FormBox["7000", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}, {{4.605170185988092,
FormBox["\"\"", TraditionalForm]}, {6.907755278982137,
FormBox["\"\"", TraditionalForm]}, {6.214608098422191,
FormBox["\"\"", TraditionalForm]}, {8.517193191416238,
FormBox["\"\"", TraditionalForm]}, {5.298317366548036,
FormBox["\"\"", TraditionalForm]}, {7.600902459542082,
FormBox["\"\"", TraditionalForm]}, {5.703782474656201,
FormBox["\"\"", TraditionalForm]}, {8.006367567650246,
FormBox["\"\"", TraditionalForm]}, {5.0106352940962555`,
FormBox["\"\"", TraditionalForm]}, {7.313220387090301,
FormBox["\"\"", TraditionalForm]}, {6.551080335043404,
FormBox["\"\"", TraditionalForm]}, {8.85366542803745,
FormBox["\"\"", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}, {Automatic, Automatic}},
GridLines->{Automatic, None},
ImageSize->{750.7578125, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 300-540 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{300.14, 539.86}, {4.704472387061954, 7.523805409157116}},
PlotRangeClipping->True,
PlotRangePadding->{
Scaled[0.02],
Scaled[0.02]},
Ticks->{Automatic, {{4.605170185988092,
FormBox["100", TraditionalForm]}, {6.907755278982137,
FormBox["1000", TraditionalForm]}, {6.214608098422191,
FormBox["500", TraditionalForm]}, {8.517193191416238,
FormBox["5000", TraditionalForm]}, {5.298317366548036,
FormBox["200", TraditionalForm]}, {7.600902459542082,
FormBox["2000", TraditionalForm]}, {5.703782474656201,
FormBox["300", TraditionalForm]}, {8.006367567650246,
FormBox["3000", TraditionalForm]}, {5.0106352940962555`,
FormBox["150", TraditionalForm]}, {7.313220387090301,
FormBox["1500", TraditionalForm]}, {6.551080335043404,
FormBox["700", TraditionalForm]}, {8.85366542803745,
FormBox["7000", TraditionalForm]}, {4.700480365792417,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.787491742782046,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.867534450455582,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {4.941642422609304,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.075173815233827,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.135798437050262,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.19295685089021,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.247024072160486,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {5.991464547107982,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.396929655216146,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.684611727667927,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {6.802394763324311,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.003065458786462,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.090076835776092,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.170119543449628,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.24422751560335,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.3777589082278725`,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.438383530044307,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.495541943884256,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {7.549609165154532,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.294049640102028,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}, {8.699514748210191,
FormBox["\"\"", TraditionalForm], {0.00375, 0.}, {
Thickness[0.001]}}}}]], "Output",
CellChangeTimes->{3.5645792354155188`*^9, 3.564679443320046*^9}]
}, Open ]],
Cell["\<\
Auch hier kann wegen der N\[ADoubleDot]he zur Hauptserienlinie keine \
sinnvolle Zuordnung vorgenommen werden.\
\>", "Text",
CellChangeTimes->{{3.56457925056818*^9, 3.564579265492914*^9}}]
}, Open ]],
Cell[CellGroupData[{
Cell["Hohe Wellenl\[ADoubleDot]ngen (\[GreaterEqual] 600 nm)", "Subsubsection",
CellChangeTimes->{{3.5645794579306707`*^9, 3.564579468807612*^9}}],
Cell["\<\
Wir gehen nun \[UDoubleDot]ber zur Betrachtung des Bereichs \
h\[ODoubleDot]herer Wellenl\[ADoubleDot]ngen.\
\>", "Text",
CellChangeTimes->{{3.564579266580887*^9, 3.5645792711102324`*^9}, {
3.564579410487561*^9, 3.564579415835195*^9}}],
Cell["\<\
Dazu \[UDoubleDot]berlagern wir wieder das Spektrum mit den errechneten \
Linien der verschiedenen Nebenserien.\
\>", "Text",
CellChangeTimes->{{3.564678299151066*^9, 3.5646783284353724`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "1"}]]], "Input",
CellChangeTimes->{{3.564678344819564*^9, 3.564678364444788*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"819.4600000000002`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"570.2119182764324`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"499.8424638450096`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"468.4396070214304`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"451.3419611403639`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"440.8973886119363`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"434.01157919500275`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"429.2166883530642`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"425.736651916743`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"423.12734996642047`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.5646783514769363`*^9, 3.564679443461852*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
SubscriptBox["plot",
RowBox[{"600", ",", "850"}]], ",",
RowBox[{"Graphics", "[",
RowBox[{"{",
RowBox[{"Dashed", ",", "Gray", ",",
RowBox[{"ll", "[",
SubscriptBox["lines",
RowBox[{"side", ",", "1"}]], "]"}]}], "}"}], "]"}]}], "]"}]], "Input",\
CellChangeTimes->{{3.5646783326683197`*^9, 3.564678334668281*^9}, {
3.5646784221977043`*^9, 3.56467842370198*^9}}],
Cell[BoxData[
GraphicsBox[{{{},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxdnHmcz9X3x60RIiGyhIpki5At+lhnzL7vxiyYMbYZYywzDD7752MZyyBC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"]]}, {}},
{GrayLevel[0.5], Dashing[{Small, Small}],
LineBox[{{819.4600000000002, 0}, {819.4600000000002, 10000}}],
LineBox[{{570.2119182764324, 0}, {570.2119182764324, 10000}}],
LineBox[{{499.8424638450096, 0}, {499.8424638450096, 10000}}],
LineBox[{{468.4396070214304, 0}, {468.4396070214304, 10000}}],
LineBox[{{451.3419611403639, 0}, {451.3419611403639, 10000}}],
LineBox[{{440.8973886119363, 0}, {440.8973886119363, 10000}}],
LineBox[{{434.01157919500275`, 0}, {434.01157919500275`, 10000}}],
LineBox[{{429.2166883530642, 0}, {429.2166883530642, 10000}}],
LineBox[{{425.736651916743, 0}, {425.736651916743, 10000}}],
LineBox[{{423.12734996642047`, 0}, {423.12734996642047`, 10000}}]}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{600.05, 0},
GridLines->{Automatic, None},
ImageSize->{728.87109375, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 600-850 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{600.05, 849.91}, {0, 6666}},
PlotRangeClipping->True,
PlotRangePadding->{{4.9972, 4.9972}, {0., 0.}}]], "Output",
CellChangeTimes->{3.564678335908242*^9, 3.564678424243765*^9,
3.564679443509507*^9}]
}, Open ]],
Cell["\<\
Aus der ersten Nebenserie ist in diesem Bereich nur die bereits \
wohlvermessene 819-nm-Linie zu erkennen.\
\>", "Text",
CellChangeTimes->{{3.5646783670971327`*^9, 3.564678374880597*^9}, {
3.56467843737012*^9, 3.564678449523355*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
SubscriptBox["lines",
RowBox[{"side", ",", "2"}]]], "Input",
CellChangeTimes->{{3.564678456662702*^9, 3.564678458599977*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"1174.5432736310113`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"622.6107529085386`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"518.8451675712981`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"477.73973361984105`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"456.65972517645577`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"444.247284879501`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564678459014904*^9, 3.56467944361154*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
SubscriptBox["plot",
RowBox[{"600", ",", "850"}]], ",",
RowBox[{"Graphics", "[",
RowBox[{"{",
RowBox[{"Dashed", ",", "Gray", ",",
RowBox[{"ll", "[",
SubscriptBox["lines",
RowBox[{"side", ",", "2"}]], "]"}]}], "}"}], "]"}]}], "]"}]], "Input",\
CellChangeTimes->{{3.564678466695199*^9, 3.564678508959146*^9}}],
Cell[BoxData[
GraphicsBox[{{{},
{RGBColor[0.24720000000000014`, 0.24, 0.6], LineBox[CompressedData["
1:eJxdnHmcz9X3x60RIiGyhIpki5At+lhnzL7vxiyYMbYZYywzDD7752MZyyBC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"]]}, {}},
{GrayLevel[0.5], Dashing[{Small, Small}],
LineBox[{{1174.5432736310113`, 0}, {1174.5432736310113`, 10000}}],
LineBox[{{622.6107529085386, 0}, {622.6107529085386, 10000}}],
LineBox[{{518.8451675712981, 0}, {518.8451675712981, 10000}}],
LineBox[{{477.73973361984105`, 0}, {477.73973361984105`, 10000}}],
LineBox[{{456.65972517645577`, 0}, {456.65972517645577`, 10000}}],
LineBox[{{444.247284879501, 0}, {444.247284879501, 10000}}]}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{
FormBox["\"nm\"", TraditionalForm],
FormBox["\"Intensit\[ADoubleDot]t\"", TraditionalForm]},
AxesOrigin->{600.05, 0},
GridLines->{Automatic, None},
ImageSize->{745.79296875, Automatic},
Method->{},
PlotLabel->FormBox[
StyleBox["\"Natriumspektrum 600-850 nm\"", Bold, StripOnInput -> False],
TraditionalForm],
PlotRange->{{600.05, 849.91}, {0, 6666}},
PlotRangeClipping->True,
PlotRangePadding->{{4.9972, 4.9972}, {0., 0.}}]], "Output",
CellChangeTimes->{3.5646785132921886`*^9, 3.5646794437136793`*^9}]
}, Open ]],
Cell["\<\
Allein die 622-nm-Linie liegt in diesem Bereich, indes haben wir nur eine \
Linie bei etwa 617 nm gemessen. Es besteht die M\[ODoubleDot]glichkeit, da\
\[SZ] es sich um ein und dieselbe Linie handelt und aufgrund einer \
Ungenauigkeit der Bestimmung des Korrekturfaktors die berechnete Position so \
stark von der gemessenen variiert, doch dies ist recht unwahrscheinlich, und \
insbesondere hilft uns eine Zuordnung dieser Linie nicht.\
\>", "Text",
CellChangeTimes->{{3.564678566621471*^9, 3.564678650915053*^9}}],
Cell["\<\
Die dritte Nebenserie enth\[ADoubleDot]lt gar keine Linien in diesem Wellenl\
\[ADoubleDot]ngenbereich. All die Linien, die hier doch zu erkennen sind, \
stammen entweder aus anderen Serien, die wir hier nicht betrachten, oder gar \
aus anderen Stoffen, die in der von uns verwendeten Lampe auch (schwach) zum \
Einsatz kommen.\
\>", "Text",
CellChangeTimes->{{3.564678655885413*^9, 3.564678694178746*^9}, {
3.564678763510419*^9, 3.564678810707107*^9}}]
}, Open ]]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell["\<\
Bestimmung der Serienenergien und der l-abh\[ADoubleDot]ngigen \
Korrekturfaktoren\
\>", "Section",
CellChangeTimes->{{3.5646796297719088`*^9, 3.564679634777905*^9}, {
3.564679704805222*^9, 3.564679709460853*^9}}],
Cell[BoxData[
RowBox[{"Needs", "[", "\"\\"", "]"}]], "Input"],
Cell[CellGroupData[{
Cell["Erste Nebenserie", "Subsection",
CellChangeTimes->{{3.5646814995132093`*^9, 3.564681501133299*^9}}],
Cell["\<\
Die zugeordneten Wellenl\[ADoubleDot]ngen sind:\
\>", "Text",
CellChangeTimes->{{3.5646798795217113`*^9, 3.564679885064911*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["side", "1"], "=",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"3", ",",
SubscriptBox["\[Lambda]", "819"]}], "}"}], ",",
RowBox[{"{",
RowBox[{"4", ",",
SubscriptBox["\[Lambda]", "570"]}], "}"}], ",",
RowBox[{"{",
RowBox[{"5", ",",
SubscriptBox["\[Lambda]", "499"]}], "}"}], ",",
RowBox[{"{",
RowBox[{"6", ",",
SubscriptBox["\[Lambda]", "468"]}], "}"}], ",",
RowBox[{"{",
RowBox[{"7", ",",
SubscriptBox["\[Lambda]", "451"]}], "}"}]}], "}"}]}]], "Input",
CellChangeTimes->{{3.564679551188299*^9, 3.564679598502172*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"3", ",",
TemplateBox[{"819.46`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}], ",",
RowBox[{"{",
RowBox[{"4", ",",
TemplateBox[{"568.8`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}], ",",
RowBox[{"{",
RowBox[{"5", ",",
TemplateBox[{"497.99`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}], ",",
RowBox[{"{",
RowBox[{"6", ",",
TemplateBox[{"466.76`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}], ",",
RowBox[{"{",
RowBox[{"7", ",",
TemplateBox[{"451.03`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]}],
"}"}]], "Output",
CellChangeTimes->{
3.5646795543987627`*^9, {3.564679599517922*^9, 3.5646796204916973`*^9}}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]side", "1"], "=",
RowBox[{"{",
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "819"], ",",
SubscriptBox["\[CapitalDelta]\[Lambda]", "570"], ",",
SubscriptBox["\[CapitalDelta]\[Lambda]", "499"], ",",
SubscriptBox["\[CapitalDelta]\[Lambda]", "468"], ",",
SubscriptBox["\[CapitalDelta]\[Lambda]", "451"]}], "}"}]}]], "Input",
CellChangeTimes->{{3.56468097848634*^9, 3.56468099635478*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"2.5`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"1.8000000000000682`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"1.6999999999999886`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"1.5`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"3.3999999999999773`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.5646809967358313`*^9}]
}, Open ]],
Cell[TextData[{
"Eine Anpassung mit ",
Cell[BoxData[
FormBox[
SubscriptBox["E", "Ry"], TraditionalForm]],
FormatType->"TraditionalForm"],
" als freiem Parameter liefert:"
}], "Text",
CellChangeTimes->{{3.564681530636752*^9, 3.564681545530408*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["fit", "1"], "=",
RowBox[{"NonlinearModelFit", "[",
RowBox[{
RowBox[{"QuantityMagnitude", "[",
SubscriptBox["side", "1"], "]"}], ",",
FractionBox[
RowBox[{"1.2398", "*",
SuperscriptBox["10", "3"]}],
RowBox[{
FractionBox["en",
SuperscriptBox[
RowBox[{"(",
RowBox[{"m", "-", "d"}], ")"}], "2"]], "+", "ep"}]], ",",
RowBox[{"{",
RowBox[{"en", ",", "ep", ",", " ", "d"}], "}"}], ",", "m", ",",
RowBox[{"Weights", "\[Rule]",
RowBox[{"QuantityMagnitude", "[",
RowBox[{"1", "/",
SubscriptBox["\[CapitalDelta]side", "1"]}], "]"}]}], ",",
RowBox[{"VarianceEstimatorFunction", "\[Rule]",
RowBox[{"(",
RowBox[{"1", "&"}], ")"}]}]}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564680077468276*^9, 3.5646800791171923`*^9}, {
3.564680162234837*^9, 3.564680274123114*^9}, {3.564680337271474*^9,
3.564680362619444*^9}, {3.564681037620459*^9, 3.5646810550157003`*^9},
3.564681549029401*^9, {3.5646818193074102`*^9, 3.564681822411171*^9}, {
3.56468188732727*^9, 3.5646819296541777`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["fit", "1"], "[",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}],
"]"}]], "Input",
CellChangeTimes->{{3.5646815511070223`*^9, 3.564681571675249*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
FractionBox["1239.8`",
RowBox[{"3.0298268416293737`", "\[VeryThinSpace]", "-",
FractionBox["13.386755464331298`",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"-", "0.029339404201573414`"}], "+", "m"}], ")"}], "2"]]}]],
",",
StyleBox[
TagBox[GridBox[{
{"\<\"\"\>", "\<\"Estimate\"\>", "\<\"Standard Error\"\>", "\<\"t\
\[Hyphen]Statistic\"\>", "\<\"P\[Hyphen]Value\"\>"},
{"en",
RowBox[{"-", "13.386755464331298`"}], "0.8831905709488733`",
RowBox[{"-", "15.157267190872487`"}], "0.004324480188263258`"},
{"ep", "3.0298268416293737`", "0.018027945347113`",
"168.06279269725934`", "0.00003540248806122026`"},
{"d", "0.029339404201573414`", "0.08155511539355927`",
"0.3597494045589992`", "0.7534701810720661`"}
},
AutoDelete->False,
GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Automatic}}},
GridBoxDividers->{
"ColumnsIndexed" -> {2 -> GrayLevel[0.7]},
"RowsIndexed" -> {2 -> GrayLevel[0.7]}},
GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}},
GridBoxSpacings->{
"ColumnsIndexed" -> {2 -> 1}, "RowsIndexed" -> {2 -> 0.75}}],
"Grid"], "DialogStyle",
StripOnInput->False]}], "}"}]], "Output",
CellChangeTimes->{{3.5646815652926617`*^9, 3.5646815719083357`*^9},
3.564681841169221*^9, 3.5646818997264013`*^9, 3.564681934665269*^9}]
}, Open ]],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["errorplot", "1"], "=",
RowBox[{"ErrorListPlot", "[",
RowBox[{"Transpose", "[",
RowBox[{"{",
RowBox[{
RowBox[{"QuantityMagnitude", "[",
SubscriptBox["side", "1"], "]"}], ",",
RowBox[{"Map", "[",
RowBox[{"ErrorBar", ",",
RowBox[{"QuantityMagnitude", "[",
SubscriptBox["\[CapitalDelta]side", "1"], "]"}]}], "]"}]}], "}"}],
"]"}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564681590919518*^9, 3.564681603672551*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
SubscriptBox["fit", "1"], "[", "m", "]"}], ",",
RowBox[{"{",
RowBox[{"m", ",", "2.5", ",", "9"}], "}"}], ",",
RowBox[{"PlotRange", "\[Rule]",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"2", ",", "9"}], "}"}], ",",
RowBox[{"{",
RowBox[{"0", ",", "900"}], "}"}]}], "}"}]}]}], "]"}], ",",
SubscriptBox["errorplot", "1"]}], "]"}]], "Input",
CellChangeTimes->{{3.564680420624957*^9, 3.564680439245899*^9}, {
3.564680534615428*^9, 3.5646805458144627`*^9}, {3.564680888880067*^9,
3.564680956588543*^9}, {3.564680991484119*^9, 3.564680993841839*^9}, {
3.564681150671588*^9, 3.5646811802219267`*^9}, {3.564681436348494*^9,
3.564681438099985*^9}, {3.5646815960457993`*^9, 3.564681598185149*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVzgk01QkbBnCMr7vYl6zF/ReGEiJKZXqKvhSlQWmkzzZNNEWhLP/rWu7q
XipLSEVlsicjySVrRBlq5JMGhTSkGE0lJdfcec95z3t+5znvOQ8REOp+WE5G
RoYl3X8vbUbivEmOApl/h5GMcZvDWzTMKGBFWuc9uyFC7XBGAmMNBfRF8JjX
REhOab23Zi0FpQf5tRZZIliNr3R2tqegf74vtSlehJic0b2xOykosAhryPQU
QVHWL2A8mILNgpsGHyRCrO325taVUCArjGsXHxJCnhS2d5RT4FxcuULNU4i+
b2tpfZUUXB/6mBSxS4iYBN0zM7UUtEQVGvmuF6J1XX+mcScF7N++tWhWE2L/
xX1FZ99QENXp61nQkQQyaG9noDkVhS+ONx77LgmPuX2fOqyouFMR3X/UNgkm
+T5GFrZU2Dt6u0SYJ6FnKCh2zoEKDnt+skgvCas8EixT3Kh4vDv+SeYnAfod
KtOrw6hIcqj4FH5LADsNTR+amIrDDQ9dK60FSLbKEYTUUxEaNZo9u0qA0d2M
20+aqTDnj8w5rhQgRWCunPuQCqNdQdWfNQQYW3Bqsh6kgpYoz3z0kY/0iVNG
PotUbP6h21G7jo+Z+qdvy7fTMLG5rbfahQ/vriK5BztpcM16sy1iOx9tg9E6
L3fTMKbiu3zDFj5y5vWdtPfTYDnXMdNjzYeTvd/FuJ9oyPBToHnq8XGhamLn
Xj4NiczTs+QkD9tKPxe866BB/Oss1eQsD2W1D+8qdNFwQWNJTV4SD9oPL/YY
/07DksXdzQYcHt5OOEh+eEbDlz7fVvNoHrJMEve1vKZhuYRzlx8oza/S5dPp
dFwOsiBs7Hk4n63vv86VjrzLns2WE1xwdBz9C/bS0cPU13w+ykVY9lF/nX10
lPyi92vqEBd7ssX+Xw/RwTPfWEp9wsWSbK+A1lA6FDrDu9Y1cHE6Kz3QM52O
9/bXAuPOc3EgU+GniD/oMPU08L2xgwu9jPmjVUEKCPW2/FNFzEEWd1mJ2nEF
ZLBWOs1UcaAZ6fA65KQC8nMT0VvBgbJ33BGzGAW8CzWWKyziQI7xzY+5IgU0
bl65KjKbgzel9EOCcgUEJBZYNERxcPeerpvPBwVIdLmiB5s48H2/3kY+XhGF
7l/uSR6yMdOXf1CLo4iwyRaP4XY2EmtVOKYCRSh9HbVrbWWjIGG81/WcIhj/
MZ9Ka2BjWiXr9PkrivjLvabXpZINpvms2KRZEQE9DSfNctjIOVyFnXJKOFNr
dZX9Mxu9T632nOEoQfb3isZNmmy8Xv3eb06gBPnccOcgNTYkcbfDA1KUwJsW
TWUqs2FmuvGCXaYS3m+qYH+hssGKchx7XqiEquuGV/9YSISZ7v4Yy04lnGCm
3v46ngiWN1nwWE0ZRVdtk8T10nyoTaKep4x3jffli0MSUX5EW66nQAXU9DXZ
sm8T8KVk1L/CUxWtphbxTbEJSKnkK30cVkWm/OpP27USUPNVONoXqIaFa0d7
jFri4eHlI1f9Tg0/R+cShmHx6H55UHaBqY6pG+cGF8zjMVIpNhuRqCMgLW3D
hvE4/Jj26lKLSAO++9cvjEXGIa4q1H6riibau3RmMvXiQB9vZ9Rf1oRh+DVO
aCMLp1z2jF8xW4r8qYyukhAWov62fkqULQX/Ub7n8lUsvCl+pXbFXgvkUJ7b
rj9jMZs/e6quXgtV01MDB8tiMfLIVvzdFm2E1chuVYqKhYOi447GTm0003L7
OhxjYSUqlwzu0cE1Kze/Nq1YZOhNyMwN6mDRdu5p4Wsm+gfcRmOCdGFv2sy6
1cRE1YulUzmTuvC6vszW6jITMh+Kt9VE6iGENZXlEc3E2K5LzWHzengldDmx
zJuJoid3Dc8z9fHpzuaREw5MDB4r7aiiLkPu7XbfPQxp7jyXc1K0DJL6cNWe
JdL/dRo1q3WXo7VOWf3lWxI1gcmSxMvLYXAvVXZFH4ljrTZG2wwNoEZLXanV
TOKcbXGGpNQAqVrPOWdLSbi+ZlocsDTEQae4yQvZJKJuGGjcrDfE/HhDzVou
iZbvI99UGzGQ6Seh24aT0AxRHh07zMBFLrfULZBEbpoiK7WMgR0pt2zm3ElE
9IvLk6cZuL+9s53lRGLjekn3JksCfMqd/y7YkdiQW5wRfIrA9FIvGyUzEokm
8n+9qiYQINwoKFtGYn6HnRe9hoBZGy/jtNQRwUGNFmICWv9jlEHqI2W/nY2s
k+Y9Fgu9+tL+1uetaE0EYvR8TSR6JLS/Mwkzf0DA8IZjmrsuibJ9zh/DBgg0
3Vas/UaLhHFkzKGsQQLBF0fMHi2V9s8ua6sbIlCyM++XHKlTB1Qz5YcJbKnp
qF0r9Wn/Z3aZYwT0jVnBfpokcPxolHiKwGPFB12N6iTEZy4ND00T2O51d1Ik
tXVFt7PcDIFHD46oH5Da+L21rsvfBLqNBhJm1EjQo+fFg7MEbg69GCak5uSs
WSE7RyAnGR7TqiQW6nyFxp8JpMZsfVwr9YzknnfIPAF3G51JD6mDGbMtaV8J
iFQneAypR7earr6zQKDme1eLKRUSPoHe6QMSAhVy24bFUv+fkzy/uEjA2+r+
JZ7U/wBqO4cY
"]]}}, {{},
{RGBColor[0.24720000000000014`, 0.24, 0.6],
PointBox[{{3., 819.46}, {4., 568.8}, {5., 497.99}, {6., 466.76}, {7.,
451.03}}], {{LineBox[{{3., 821.96}, {3., 816.96}}],
LineBox[{
Offset[{1.5, 0}, {3., 821.96}], Offset[{-1.5, 0}, {3., 821.96}]}],
LineBox[{
Offset[{1.5, 0}, {3., 816.96}], Offset[{-1.5, 0}, {3., 816.96}]}]}, {
LineBox[{{4., 570.6}, {4., 566.9999999999999}}],
LineBox[{
Offset[{1.5, 0}, {4., 570.6}], Offset[{-1.5, 0}, {4., 570.6}]}],
LineBox[{
Offset[{1.5, 0}, {4., 566.9999999999999}],
Offset[{-1.5, 0}, {4., 566.9999999999999}]}]}, {
LineBox[{{5., 499.69}, {5., 496.29}}],
LineBox[{
Offset[{1.5, 0}, {5., 499.69}], Offset[{-1.5, 0}, {5., 499.69}]}],
LineBox[{
Offset[{1.5, 0}, {5., 496.29}], Offset[{-1.5, 0}, {5., 496.29}]}]}, {
LineBox[{{6., 468.26}, {6., 465.26}}],
LineBox[{
Offset[{1.5, 0}, {6., 468.26}], Offset[{-1.5, 0}, {6., 468.26}]}],
LineBox[{
Offset[{1.5, 0}, {6., 465.26}], Offset[{-1.5, 0}, {6., 465.26}]}]}, {
LineBox[{{7., 454.42999999999995`}, {7., 447.63}}],
LineBox[{
Offset[{1.5, 0}, {7., 454.42999999999995`}],
Offset[{-1.5, 0}, {7., 454.42999999999995`}]}],
LineBox[{
Offset[{1.5, 0}, {7., 447.63}],
Offset[{-1.5, 0}, {7., 447.63}]}]}}}, {}}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{None, None},
AxesOrigin->{2., 0},
Method->{},
PlotRange->{{2, 9}, {0, 900}},
PlotRangeClipping->True,
PlotRangePadding->{Automatic, Automatic}]], "Output",
CellChangeTimes->{
3.564681069728331*^9, {3.5646811513261414`*^9, 3.564681180580859*^9},
3.564681438455572*^9, 3.56468160564462*^9, 3.564681849295907*^9,
3.564681902057877*^9, 3.564681939216292*^9}]
}, Open ]],
Cell["\<\
Wiederholen wir den Fit mit fixierter Rydbergenergie, erhalten wir\
\>", "Text",
CellChangeTimes->{{3.564681610391911*^9, 3.5646816183894587`*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["fixfit", "1"], "=",
RowBox[{"NonlinearModelFit", "[",
RowBox[{
RowBox[{"QuantityMagnitude", "[",
SubscriptBox["side", "1"], "]"}], ",",
FractionBox[
RowBox[{"1.2398", "*",
SuperscriptBox["10", "3"]}],
RowBox[{
FractionBox[
RowBox[{"-", "13.605"}],
SuperscriptBox[
RowBox[{"(",
RowBox[{"m", "-", "d"}], ")"}], "2"]], "+", "ep"}]], ",",
RowBox[{"{",
RowBox[{"d", ",", "ep"}], "}"}], ",", "m"}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564681626775983*^9, 3.5646816502069597`*^9}, {
3.56468179800492*^9, 3.564681800812406*^9}, {3.5646819454910994`*^9,
3.564681946098793*^9}, {3.564681984247898*^9, 3.564682017845825*^9}, {
3.564682059179093*^9, 3.5646820908247004`*^9}, 3.564683258946645*^9}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["fixfit", "1"], "[",
RowBox[{"{",
RowBox[{"\"\\"", ",", "\"\\""}], "}"}],
"]"}]], "Input",
CellChangeTimes->{{3.5646816536347446`*^9, 3.5646816629239264`*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
FractionBox["1239.8`",
RowBox[{"5.187490882634749`", "\[VeryThinSpace]", "-",
FractionBox["13.605`",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"-", "3.918185187225026`"}], "+", "m"}], ")"}], "2"]]}]],
",",
StyleBox[
TagBox[GridBox[{
{"\<\"\"\>", "\<\"Estimate\"\>", "\<\"Standard Error\"\>", "\<\"t\
\[Hyphen]Statistic\"\>", "\<\"P\[Hyphen]Value\"\>"},
{"d", "3.918185187225026`", "1.071464792548136`",
"3.6568492165821675`", "0.035322758494263314`"},
{"ep", "5.187490882634749`", "4.011810192279536`",
"1.2930549138684908`", "0.28656449838001896`"}
},
AutoDelete->False,
GridBoxAlignment->{"Columns" -> {{Left}}, "Rows" -> {{Automatic}}},
GridBoxDividers->{
"ColumnsIndexed" -> {2 -> GrayLevel[0.7]},
"RowsIndexed" -> {2 -> GrayLevel[0.7]}},
GridBoxItemSize->{"Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}},
GridBoxSpacings->{
"ColumnsIndexed" -> {2 -> 1}, "RowsIndexed" -> {2 -> 0.75}}],
"Grid"], "DialogStyle",
StripOnInput->False]}], "}"}]], "Output",
CellChangeTimes->{
3.564681663369934*^9, 3.5646819524930143`*^9, {3.564681991138219*^9,
3.564682020684433*^9}, {3.5646820618816566`*^9, 3.564682080195216*^9},
3.564683262290264*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
SubscriptBox["fixfit", "1"], "[", "m", "]"}], ",",
RowBox[{"{",
RowBox[{"m", ",", "2", ",", "9"}], "}"}], ",",
RowBox[{"PlotRange", "\[Rule]",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"2", ",", "9"}], "}"}], ",",
RowBox[{"{",
RowBox[{"0", ",", "900"}], "}"}]}], "}"}]}]}], "]"}], ",",
SubscriptBox["errorplot", "1"]}], "]"}]], "Input",
CellChangeTimes->{{3.56468173057635*^9, 3.564681730825741*^9}, {
3.564682102567453*^9, 3.564682124685916*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {},
{Hue[0.67, 0.6, 0.6],
LineBox[{{2.000000142857143, 832.1301447016176}, {2.0021470254439175`,
836.7865333930141}, {2.004293908030692, 841.5112717566361}, {
2.008587673204241, 851.1718698886783}, {2.0171752035513393`,
871.3826516044219}, {2.019322086138114, 876.6306507263837}, {
2.0214689687248883`, 881.960402606267}, {2.0257627338984374`,
892.87288418828}, {2.0284360629525713`, 900.}}], LineBox[CompressedData["
1:eJwVzQk0VQkcBnBMUbQJ3fvue5abQYvRNhkifYUsoTglKYyUvBY973mLPV48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"]],
LineBox[{{5.537917719838697, 0.}, {5.5379228997298995`, 900.}}],
LineBox[{{2.297894968074911, 900.}, {2.297899667726202, 0.}}]}}, {{},
{RGBColor[0.24720000000000014`, 0.24, 0.6],
PointBox[{{3., 819.46}, {4., 568.8}, {5., 497.99}, {6., 466.76}, {7.,
451.03}}], {{LineBox[{{3., 821.96}, {3., 816.96}}],
LineBox[{
Offset[{1.5, 0}, {3., 821.96}], Offset[{-1.5, 0}, {3., 821.96}]}],
LineBox[{
Offset[{1.5, 0}, {3., 816.96}], Offset[{-1.5, 0}, {3., 816.96}]}]}, {
LineBox[{{4., 570.6}, {4., 566.9999999999999}}],
LineBox[{
Offset[{1.5, 0}, {4., 570.6}], Offset[{-1.5, 0}, {4., 570.6}]}],
LineBox[{
Offset[{1.5, 0}, {4., 566.9999999999999}],
Offset[{-1.5, 0}, {4., 566.9999999999999}]}]}, {
LineBox[{{5., 499.69}, {5., 496.29}}],
LineBox[{
Offset[{1.5, 0}, {5., 499.69}], Offset[{-1.5, 0}, {5., 499.69}]}],
LineBox[{
Offset[{1.5, 0}, {5., 496.29}], Offset[{-1.5, 0}, {5., 496.29}]}]}, {
LineBox[{{6., 468.26}, {6., 465.26}}],
LineBox[{
Offset[{1.5, 0}, {6., 468.26}], Offset[{-1.5, 0}, {6., 468.26}]}],
LineBox[{
Offset[{1.5, 0}, {6., 465.26}], Offset[{-1.5, 0}, {6., 465.26}]}]}, {
LineBox[{{7., 454.42999999999995`}, {7., 447.63}}],
LineBox[{
Offset[{1.5, 0}, {7., 454.42999999999995`}],
Offset[{-1.5, 0}, {7., 454.42999999999995`}]}],
LineBox[{
Offset[{1.5, 0}, {7., 447.63}],
Offset[{-1.5, 0}, {7., 447.63}]}]}}}, {}}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{None, None},
AxesOrigin->{2., 0},
Method->{},
PlotRange->{{2, 9}, {0, 900}},
PlotRangeClipping->True,
PlotRangePadding->{Automatic, Automatic}]], "Output",
CellChangeTimes->{
3.564681731682536*^9, 3.564681956162633*^9, {3.564681993113123*^9,
3.5646820226751137`*^9}, {3.564682053664545*^9, 3.564682125262957*^9},
3.5646832635024643`*^9}]
}, Open ]],
Cell[TextData[{
"Hieraus l\[ADoubleDot]\[SZ]t sich keine sinnvolle Absch\[ADoubleDot]tzung f\
\[UDoubleDot]r ",
Cell[BoxData[
FormBox[
SubscriptBox["\[CapitalDelta]", "p"], TraditionalForm]],
FormatType->"TraditionalForm"],
" ermitteln."
}], "Text",
CellChangeTimes->{{3.564684040541798*^9, 3.56468405353119*^9}}]
}, Open ]],
Cell[CellGroupData[{
Cell["Zweite Nebenserie", "Subsection",
CellChangeTimes->{{3.56468151783084*^9, 3.5646815199799967`*^9}}],
Cell["\<\
Die zugeordneten Wellenl\[ADoubleDot]ngen sind:\
\>", "Text",
CellChangeTimes->{{3.564681521964182*^9, 3.564681526499693*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["side", "2"], "=",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"7", ",",
SubscriptBox["\[Lambda]", "477"]}], "}"}], ",",
RowBox[{"{",
RowBox[{"8", ",",
SubscriptBox["\[Lambda]", "456"]}], "}"}]}], "}"}]}]], "Input",
CellChangeTimes->{{3.564679713344413*^9, 3.564679717589395*^9}, {
3.5646797708179293`*^9, 3.56467978430814*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"7", ",",
TemplateBox[{"475.11`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}], ",",
RowBox[{"{",
RowBox[{"8", ",",
TemplateBox[{"455.33`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]}],
"}"}]], "Output",
CellChangeTimes->{3.56467978503722*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]side", "2"], "=",
RowBox[{"{",
RowBox[{
SubscriptBox["\[CapitalDelta]\[Lambda]", "477"], ",",
SubscriptBox["\[CapitalDelta]\[Lambda]", "456"]}], "}"}]}]], "Input",
CellChangeTimes->{{3.564681216446066*^9, 3.564681232616605*^9}}],
Cell[BoxData[
RowBox[{"{",
RowBox[{
TemplateBox[{"3.099999999999966`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )], ",",
TemplateBox[{"1.8000000000000114`"},
"QuantityUnit",
DisplayFunction->(TooltipBox[
StyleBox[
RowBox[{#,
StyleBox["\"nm\"", "QuantityUnitTraditionalLabel"]}],
ShowStringCharacters -> False], "Unit: nanometers"]& ),
InterpretationFunction->(RowBox[{"Quantity", "[",
RowBox[{#, ",", "\"Nanometers\""}], "]"}]& )]}], "}"}]], "Output",
CellChangeTimes->{3.564681233226207*^9}]
}, Open ]],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["fit", "2"], "=",
RowBox[{"NonlinearModelFit", "[",
RowBox[{
RowBox[{"QuantityMagnitude", "[",
SubscriptBox["side", "2"], "]"}], ",",
FractionBox[
RowBox[{"1.2398", "*",
SuperscriptBox["10", "3"]}],
RowBox[{
FractionBox["en",
SuperscriptBox[
RowBox[{"(",
RowBox[{"m", "-", "d"}], ")"}], "2"]], "+", "ep"}]], ",",
RowBox[{"{",
RowBox[{"en", ",", "ep", ",", "d"}], "}"}], ",", "m", ",",
RowBox[{"Weights", "\[Rule]",
RowBox[{"QuantityMagnitude", "[",
RowBox[{"1", "/",
SubscriptBox["\[CapitalDelta]side", "2"]}], "]"}]}], ",",
RowBox[{"VarianceEstimatorFunction", "\[Rule]",
RowBox[{"(",
RowBox[{"1", "&"}], ")"}]}]}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564681269615315*^9, 3.564681299413715*^9},
3.564683307040127*^9, {3.5646833624681807`*^9, 3.564683378163396*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["fit", "2"], "[", "\"\\"", "]"}]], "Input",
CellChangeTimes->{
3.5646833175976562`*^9, {3.56468344934883*^9, 3.564683453500278*^9}, {
3.5646835795496397`*^9, 3.5646835822262917`*^9}}],
Cell[BoxData[
FractionBox["1239.8`",
RowBox[{"3.538846913331226`", "\[VeryThinSpace]", "-",
FractionBox["205.7760813512131`",
SuperscriptBox[
RowBox[{"(",
RowBox[{"7.880199012296834`", "\[VeryThinSpace]", "+", "m"}], ")"}],
"2"]]}]]], "Output",
CellChangeTimes->{
3.564683318388166*^9, 3.5646833807506847`*^9, {3.564683443848638*^9,
3.564683449634527*^9}, 3.5646835826779633`*^9}]
}, Open ]],
Cell["\<\
Wir stellen fest, da\[SZ] hier eine Rydbergenergie bar jeglicher Realit\
\[ADoubleDot]t ermittelt wurde. (Die Kurve unten pa\[SZ]t zwar, aber das ist \
ja bei drei freien Parametern und zwei Me\[SZ]punkten keine Kunst.)\
\>", "Text",
CellChangeTimes->{{3.564683598353715*^9, 3.564683637119019*^9}}],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["errorplot", "2"], "=",
RowBox[{"ErrorListPlot", "[",
RowBox[{"Transpose", "[",
RowBox[{"{",
RowBox[{
RowBox[{"QuantityMagnitude", "[",
SubscriptBox["side", "2"], "]"}], ",",
RowBox[{"Map", "[",
RowBox[{"ErrorBar", ",",
RowBox[{"QuantityMagnitude", "[",
SubscriptBox["\[CapitalDelta]side", "2"], "]"}]}], "]"}]}], "}"}],
"]"}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564683412356954*^9, 3.564683422830958*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
SubscriptBox["fit", "2"], "[", "m", "]"}], ",",
RowBox[{"{",
RowBox[{"m", ",", "2", ",", "9"}], "}"}], ",",
RowBox[{"PlotRange", "\[Rule]",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"2", ",", "9"}], "}"}], ",",
RowBox[{"{",
RowBox[{"0", ",", "900"}], "}"}]}], "}"}]}]}], "]"}], ",",
SubscriptBox["errorplot", "2"]}], "]"}]], "Input",
CellChangeTimes->{{3.564681329491091*^9, 3.5646814299571257`*^9}, {
3.5646833904342127`*^9, 3.564683427951921*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVy3k01AkAB/AZtyEMMzJyzM9VyioVbZltv+ixyd2uqE1LqXE8eVqlfjPm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"]]}}, {{},
{RGBColor[0.24720000000000014`, 0.24, 0.6],
PointBox[{{7., 475.11}, {8.,
455.33}}], {{LineBox[{{7., 478.21}, {7., 472.01000000000005`}}],
LineBox[{
Offset[{1.5, 0}, {7., 478.21}], Offset[{-1.5, 0}, {7., 478.21}]}],
LineBox[{
Offset[{1.5, 0}, {7., 472.01000000000005`}],
Offset[{-1.5, 0}, {7., 472.01000000000005`}]}]}, {
LineBox[{{8., 457.13}, {8., 453.53}}],
LineBox[{
Offset[{1.5, 0}, {8., 457.13}], Offset[{-1.5, 0}, {8., 457.13}]}],
LineBox[{
Offset[{1.5, 0}, {8., 453.53}],
Offset[{-1.5, 0}, {8., 453.53}]}]}}}, {}}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{None, None},
AxesOrigin->{2., 0},
Method->{},
PlotRange->{{2, 9}, {0, 900}},
PlotRangeClipping->True,
PlotRangePadding->{Automatic, Automatic}]], "Output",
CellChangeTimes->{{3.564681336367486*^9, 3.5646814412470207`*^9}, {
3.564683387206664*^9, 3.564683390793784*^9}, 3.5646834283265057`*^9}]
}, Open ]],
Cell[BoxData[
RowBox[{
RowBox[{
SubscriptBox["fixfit", "2"], "=",
RowBox[{"NonlinearModelFit", "[",
RowBox[{
RowBox[{"QuantityMagnitude", "[",
SubscriptBox["side", "2"], "]"}], ",",
FractionBox[
RowBox[{"1.2398", "*",
SuperscriptBox["10", "3"]}],
RowBox[{
FractionBox[
RowBox[{"-", "13.605"}],
SuperscriptBox[
RowBox[{"(",
RowBox[{"m", "-", "d"}], ")"}], "2"]], "+", "ep"}]], ",",
RowBox[{"{",
RowBox[{"ep", ",", "d"}], "}"}], ",", "m"}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.564683646594349*^9, 3.564683662575276*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["fixfit", "2"], "[", "\"\\"", "]"}]], "Input",
CellChangeTimes->{{3.564683669078527*^9, 3.564683673436448*^9}}],
Cell[BoxData[
FractionBox["1239.8`",
RowBox[{"3.022216215959597`", "\[VeryThinSpace]", "-",
FractionBox["13.605`",
SuperscriptBox[
RowBox[{"(",
RowBox[{
RowBox[{"-", "1.2585179627886043`"}], "+", "m"}], ")"}],
"2"]]}]]], "Output",
CellChangeTimes->{3.564683673872417*^9}]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
RowBox[{"Plot", "[",
RowBox[{
RowBox[{
SubscriptBox["fixfit", "2"], "[", "m", "]"}], ",",
RowBox[{"{",
RowBox[{"m", ",", "2", ",", "9"}], "}"}], ",",
RowBox[{"PlotRange", "\[Rule]",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"2", ",", "9"}], "}"}], ",",
RowBox[{"{",
RowBox[{"0", ",", "900"}], "}"}]}], "}"}]}]}], "]"}], ",",
SubscriptBox["errorplot", "2"]}], "]"}]], "Input",
CellChangeTimes->{{3.564683683063404*^9, 3.56468368340366*^9}}],
Cell[BoxData[
GraphicsBox[{{{}, {},
{Hue[0.67, 0.6, 0.6], LineBox[CompressedData["
1:eJwVygk4lIkDBvDRlqLSfN/MIOv6bGZTumzXit23xOQoLV1qI9kOS9Ko1vpm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"]],
LineBox[{{3.3795584505154315`, 0.}, {3.379561003485996, 900.}}]}}, {{},
{RGBColor[0.24720000000000014`, 0.24, 0.6],
PointBox[{{7., 475.11}, {8.,
455.33}}], {{LineBox[{{7., 478.21}, {7., 472.01000000000005`}}],
LineBox[{
Offset[{1.5, 0}, {7., 478.21}], Offset[{-1.5, 0}, {7., 478.21}]}],
LineBox[{
Offset[{1.5, 0}, {7., 472.01000000000005`}],
Offset[{-1.5, 0}, {7., 472.01000000000005`}]}]}, {
LineBox[{{8., 457.13}, {8., 453.53}}],
LineBox[{
Offset[{1.5, 0}, {8., 457.13}], Offset[{-1.5, 0}, {8., 457.13}]}],
LineBox[{
Offset[{1.5, 0}, {8., 453.53}],
Offset[{-1.5, 0}, {8., 453.53}]}]}}}, {}}},
AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948],
Axes->True,
AxesLabel->{None, None},
AxesOrigin->{2., 0},
Method->{},
PlotRange->{{2, 9}, {0, 900}},
PlotRangeClipping->True,
PlotRangePadding->{Automatic, Automatic}]], "Output",
CellChangeTimes->{3.564683683706709*^9}]
}, Open ]],
Cell[TextData[{
"Hier k\[ODoubleDot]nnen wir tats\[ADoubleDot]chlich ",
Cell[BoxData[
FormBox[
SubscriptBox["\[CapitalDelta]", "s"], TraditionalForm]],
FormatType->"TraditionalForm"],
" ablesen:"
}], "Text",
CellChangeTimes->{{3.5646837059239607`*^9, 3.564683718617401*^9},
3.564683787300887*^9}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]",
RowBox[{"s", ",", "fitted"}]], "=", "1.25852"}]], "Input",
CellChangeTimes->{{3.564683787963067*^9, 3.564683807097125*^9}}],
Cell[BoxData["1.25852`"], "Output",
CellChangeTimes->{3.564683811837956*^9}]
}, Open ]],
Cell["Zum Vergleich:", "Text",
CellChangeTimes->{{3.564684031886228*^9, 3.5646840336445227`*^9}}],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{
SubscriptBox["\[CapitalDelta]", "s"], "\[ImplicitPlus]",
RowBox[{"\[PlusMinus]",
SubscriptBox["\[CapitalDelta]\[CapitalDelta]", "s"]}]}]], "Input",
CellChangeTimes->{{3.564683813321188*^9, 3.564683814493417*^9}, {
3.5646839028482227`*^9, 3.564683910757718*^9}}],
Cell[BoxData[
RowBox[{"1.3714354553287946`", "\[VeryThinSpace]", "+",
RowBox[{"\[PlusMinus]", "0.0007327185628629892`"}]}]], "Output",
CellChangeTimes->{3.564683814909253*^9, 3.564683911911647*^9,
3.564684027678453*^9}]
}, Open ]]
}, Open ]]
}, Open ]]
}, Open ]]
},
WindowSize->{883, 793},
WindowMargins->{{277, Automatic}, {Automatic, 0}},
FrontEndVersion->"9.0 for Mac OS X x86 (32-bit, 64-bit Kernel) (November 20, \
2012)",
StyleDefinitions->"Default.nb"
]
(* End of Notebook Content *)
(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[CellGroupData[{
Cell[579, 22, 147, 2, 92, "Title"],
Cell[CellGroupData[{
Cell[751, 28, 147, 2, 80, "Section"],
Cell[901, 32, 158, 2, 30, "Text"],
Cell[1062, 36, 484, 10, 80, "Input"],
Cell[1549, 48, 467, 10, 80, "Input"],
Cell[2019, 60, 424, 9, 80, "Input"],
Cell[2446, 71, 305, 5, 30, "Text"],
Cell[2754, 78, 298, 7, 28, "Input"],
Cell[3055, 87, 301, 7, 28, "Input"],
Cell[3359, 96, 312, 7, 28, "Input"],
Cell[3674, 105, 314, 7, 28, "Input"],
Cell[3991, 114, 213, 4, 28, "Input"],
Cell[4207, 120, 654, 18, 46, "Input"],
Cell[CellGroupData[{
Cell[4886, 142, 152, 2, 44, "Subsection"],
Cell[CellGroupData[{
Cell[5063, 148, 1232, 31, 80, "Input"],
Cell[6298, 181, 68739, 1162, 416, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[75074, 1348, 1715, 39, 97, "Input"],
Cell[76792, 1389, 41748, 692, 491, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[118577, 2086, 1634, 40, 97, "Input"],
Cell[120214, 2128, 23378, 394, 523, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[143629, 2527, 1455, 35, 80, "Input"],
Cell[145087, 2564, 71144, 1204, 411, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[216268, 3773, 1275, 32, 107, "Input"],
Cell[217546, 3807, 46293, 767, 515, "Output"]
}, Open ]]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell[263900, 4581, 126, 2, 80, "Section"],
Cell[264029, 4585, 124, 3, 30, "Text"],
Cell[264156, 4590, 577, 13, 48, "Input"],
Cell[264736, 4605, 128, 3, 30, "Text"],
Cell[264867, 4610, 666, 20, 35, "Input"],
Cell[265536, 4632, 108, 1, 30, "Text"],
Cell[CellGroupData[{
Cell[265669, 4637, 385, 10, 28, "Input"],
Cell[266057, 4649, 1223, 31, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[267317, 4685, 1997, 42, 90, "Input"],
Cell[269317, 4729, 57945, 1006, 497, "Output"]
}, Open ]],
Cell[327277, 5738, 204, 4, 30, "Text"],
Cell[CellGroupData[{
Cell[327506, 5746, 101, 1, 44, "Subsection"],
Cell[327610, 5749, 270, 9, 34, "Text"],
Cell[CellGroupData[{
Cell[327905, 5762, 1487, 37, 86, "Input"],
Cell[329395, 5801, 449, 10, 24, "Message"],
Cell[329847, 5813, 4328, 84, 500, "Output"]
}, Open ]],
Cell[334190, 5900, 103, 1, 30, "Text"],
Cell[334296, 5903, 542, 15, 35, "Input"],
Cell[334841, 5920, 626, 18, 28, "Input"],
Cell[CellGroupData[{
Cell[335492, 5942, 207, 5, 35, "Input"],
Cell[335702, 5949, 709, 20, 46, "Output"],
Cell[336414, 5971, 687, 20, 46, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[337138, 5996, 998, 26, 35, "Input"],
Cell[338139, 6024, 345, 7, 28, "Output"],
Cell[338487, 6033, 323, 7, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[338847, 6045, 279, 8, 31, "Input"],
Cell[339129, 6055, 224, 4, 28, "Output"],
Cell[339356, 6061, 202, 4, 28, "Output"]
}, Open ]],
Cell[339573, 6068, 121, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[339719, 6075, 620, 16, 47, "Input"],
Cell[340342, 6093, 4932, 95, 471, "Output"]
}, Open ]],
Cell[345289, 6191, 194, 4, 30, "Text"],
Cell[CellGroupData[{
Cell[345508, 6199, 520, 16, 28, "Input"],
Cell[346031, 6217, 147, 2, 28, "Output"]
}, Open ]],
Cell[346193, 6222, 535, 16, 31, "Input"],
Cell[346731, 6240, 162, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[346918, 6247, 205, 4, 28, "Input"],
Cell[347126, 6253, 829, 21, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[347992, 6279, 378, 9, 33, "Input"],
Cell[348373, 6290, 582, 15, 28, "Output"]
}, Open ]],
Cell[348970, 6308, 799, 20, 62, "Input"],
Cell[349772, 6330, 267, 6, 30, "Text"],
Cell[CellGroupData[{
Cell[350064, 6340, 677, 20, 53, "Input"],
Cell[350744, 6362, 617, 15, 28, "Output"]
}, Open ]],
Cell[351376, 6380, 571, 18, 35, "Text"],
Cell[CellGroupData[{
Cell[351972, 6402, 1025, 27, 110, "Input"],
Cell[353000, 6431, 659, 17, 28, "Output"]
}, Open ]],
Cell[353674, 6451, 92, 1, 30, "Text"],
Cell[CellGroupData[{
Cell[353791, 6456, 284, 7, 33, "Input"],
Cell[354078, 6465, 1267, 32, 28, "Output"]
}, Open ]],
Cell[355360, 6500, 199, 4, 30, "Text"],
Cell[CellGroupData[{
Cell[355584, 6508, 451, 12, 32, "Input"],
Cell[356038, 6522, 3872, 94, 46, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[359947, 6621, 106, 1, 35, "Subsubsection"],
Cell[360056, 6624, 205, 4, 30, "Text"],
Cell[CellGroupData[{
Cell[360286, 6632, 477, 13, 51, "Input"],
Cell[360766, 6647, 615, 15, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[361418, 6667, 237, 6, 33, "Input"],
Cell[361658, 6675, 604, 15, 28, "Output"]
}, Open ]],
Cell[362277, 6693, 690, 24, 47, "Text"],
Cell[CellGroupData[{
Cell[362992, 6721, 368, 10, 54, "Input"],
Cell[363363, 6733, 140, 2, 28, "Output"]
}, Open ]],
Cell[363518, 6738, 279, 8, 32, "Text"],
Cell[CellGroupData[{
Cell[363822, 6750, 576, 17, 54, "Input"],
Cell[364401, 6769, 163, 2, 28, "Output"]
}, Open ]],
Cell[364579, 6774, 123, 3, 30, "Text"],
Cell[364705, 6779, 698, 20, 65, "Input"],
Cell[365406, 6801, 189, 4, 30, "Text"],
Cell[CellGroupData[{
Cell[365620, 6809, 398, 11, 32, "Input"],
Cell[366021, 6822, 2364, 58, 28, "Output"]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell[368434, 6886, 104, 1, 35, "Subsubsection"],
Cell[368541, 6889, 663, 23, 49, "Text"],
Cell[CellGroupData[{
Cell[369229, 6916, 376, 10, 56, "Input"],
Cell[369608, 6928, 112, 1, 28, "Output"]
}, Open ]],
Cell[369735, 6932, 105, 1, 30, "Text"],
Cell[CellGroupData[{
Cell[369865, 6937, 578, 17, 56, "Input"],
Cell[370446, 6956, 136, 2, 28, "Output"]
}, Open ]],
Cell[370597, 6961, 125, 3, 30, "Text"],
Cell[370725, 6966, 700, 20, 67, "Input"],
Cell[CellGroupData[{
Cell[371450, 6990, 348, 10, 32, "Input"],
Cell[371801, 7002, 861, 21, 28, "Output"]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell[372711, 7029, 118, 1, 35, "Subsubsection"],
Cell[372832, 7032, 378, 7, 49, "Text"],
Cell[CellGroupData[{
Cell[373235, 7043, 146, 3, 32, "Input"],
Cell[373384, 7048, 3816, 93, 46, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[377237, 7146, 1148, 31, 94, "Input"],
Cell[378388, 7179, 58519, 1013, 498, "Output"]
}, Open ]],
Cell[436922, 8195, 309, 5, 49, "Text"],
Cell[437234, 8202, 151, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[437410, 8209, 139, 3, 28, "Input"],
Cell[437552, 8214, 804, 20, 28, "Output"]
}, Open ]],
Cell[438371, 8237, 131, 3, 30, "Text"],
Cell[438505, 8242, 1711, 43, 97, "Input"],
Cell[CellGroupData[{
Cell[440241, 8289, 352, 9, 35, "Input"],
Cell[440596, 8300, 3199, 66, 525, "Output"]
}, Open ]],
Cell[443810, 8369, 128, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[443963, 8376, 197, 5, 31, "Input"],
Cell[444163, 8383, 174, 4, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[444374, 8392, 255, 7, 31, "Input"],
Cell[444632, 8401, 102, 1, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[444771, 8407, 599, 16, 47, "Input"],
Cell[445373, 8425, 3717, 75, 466, "Output"]
}, Open ]],
Cell[449105, 8503, 124, 3, 30, "Text"],
Cell[449232, 8508, 457, 14, 28, "Input"],
Cell[CellGroupData[{
Cell[449714, 8526, 489, 12, 28, "Input"],
Cell[450206, 8540, 535, 12, 28, "Output"]
}, Open ]],
Cell[450756, 8555, 410, 11, 31, "Input"],
Cell[451169, 8568, 162, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[451356, 8575, 254, 5, 28, "Input"],
Cell[451613, 8582, 885, 21, 28, "Output"]
}, Open ]],
Cell[452513, 8606, 135, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[452673, 8613, 146, 3, 32, "Input"],
Cell[452822, 8618, 2339, 57, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[455198, 8680, 1147, 31, 94, "Input"],
Cell[456348, 8713, 58173, 1008, 490, "Output"]
}, Open ]],
Cell[514536, 9724, 213, 4, 49, "Text"],
Cell[514752, 9730, 136, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[514913, 9737, 144, 3, 32, "Input"],
Cell[515060, 9742, 861, 21, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[515958, 9768, 1149, 31, 94, "Input"],
Cell[517110, 9801, 57899, 1004, 488, "Output"]
}, Open ]],
Cell[575024, 10808, 347, 6, 49, "Text"],
Cell[575374, 10816, 422, 11, 65, "Input"],
Cell[575799, 10829, 428, 11, 65, "Input"],
Cell[576230, 10842, 124, 3, 30, "Text"],
Cell[576357, 10847, 658, 20, 35, "Input"],
Cell[577018, 10869, 705, 21, 35, "Input"],
Cell[577726, 10892, 90, 1, 30, "Text"],
Cell[CellGroupData[{
Cell[577841, 10897, 1167, 30, 74, "Input"],
Cell[579011, 10929, 27189, 474, 481, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[606237, 11408, 1275, 34, 74, "Input"],
Cell[607515, 11444, 12809, 217, 499, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[620361, 11666, 146, 3, 32, "Input"],
Cell[620510, 11671, 3846, 94, 46, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[624393, 11770, 145, 3, 32, "Input"],
Cell[624541, 11775, 2339, 57, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[626917, 11837, 148, 3, 32, "Input"],
Cell[627068, 11842, 861, 21, 28, "Output"]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell[627978, 11869, 154, 3, 35, "Subsubsection"],
Cell[628135, 11874, 218, 4, 30, "Text"],
Cell[CellGroupData[{
Cell[628378, 11882, 404, 12, 35, "Input"],
Cell[628785, 11896, 80967, 1356, 487, 27715, 482, "CachedBoxData", "BoxData", \
"Output"]
}, Open ]],
Cell[709767, 13255, 271, 5, 49, "Text"],
Cell[710041, 13262, 123, 1, 30, "Text"],
Cell[CellGroupData[{
Cell[710189, 13267, 651, 20, 35, "Input"],
Cell[710843, 13289, 228, 4, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[711108, 13298, 313, 9, 31, "Input"],
Cell[711424, 13309, 423, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[711884, 13324, 278, 8, 31, "Input"],
Cell[712165, 13334, 100, 1, 28, "Output"]
}, Open ]],
Cell[712280, 13338, 299, 9, 35, "Input"],
Cell[CellGroupData[{
Cell[712604, 13351, 698, 19, 47, "Input"],
Cell[713305, 13372, 2394, 53, 481, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[715736, 13430, 361, 10, 28, "Input"],
Cell[716100, 13442, 435, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[716572, 13457, 207, 4, 28, "Input"],
Cell[716782, 13463, 819, 20, 28, "Output"]
}, Open ]],
Cell[717616, 13486, 107, 1, 30, "Text"],
Cell[CellGroupData[{
Cell[717748, 13491, 605, 19, 35, "Input"],
Cell[718356, 13512, 193, 4, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[718586, 13521, 315, 9, 31, "Input"],
Cell[718904, 13532, 425, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[719366, 13547, 303, 8, 35, "Input"],
Cell[719672, 13557, 2184, 48, 490, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[721893, 13610, 364, 10, 28, "Input"],
Cell[722260, 13622, 420, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[722717, 13637, 209, 4, 28, "Input"],
Cell[722929, 13643, 802, 20, 28, "Output"]
}, Open ]],
Cell[723746, 13666, 110, 1, 30, "Text"],
Cell[CellGroupData[{
Cell[723881, 13671, 602, 19, 35, "Input"],
Cell[724486, 13692, 151, 3, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[724674, 13700, 315, 9, 31, "Input"],
Cell[724992, 13711, 425, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[725454, 13726, 273, 7, 35, "Input"],
Cell[725730, 13735, 1811, 44, 495, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[727578, 13784, 364, 10, 28, "Input"],
Cell[727945, 13796, 437, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[728419, 13811, 207, 4, 28, "Input"],
Cell[728629, 13817, 817, 20, 28, "Output"]
}, Open ]],
Cell[729461, 13840, 131, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[729617, 13847, 144, 3, 32, "Input"],
Cell[729764, 13852, 2339, 57, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[732140, 13914, 382, 12, 35, "Input"],
Cell[732525, 13928, 27510, 479, 493, "Output"]
}, Open ]],
Cell[760050, 14410, 180, 4, 30, "Text"],
Cell[CellGroupData[{
Cell[760255, 14418, 603, 19, 35, "Input"],
Cell[760861, 14439, 161, 3, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[761059, 14447, 273, 7, 35, "Input"],
Cell[761335, 14456, 1750, 42, 493, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[763122, 14503, 362, 10, 28, "Input"],
Cell[763487, 14515, 436, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[763960, 14530, 312, 9, 31, "Input"],
Cell[764275, 14541, 425, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[764737, 14556, 207, 4, 28, "Input"],
Cell[764947, 14562, 816, 20, 28, "Output"]
}, Open ]],
Cell[765778, 14585, 87, 1, 30, "Text"],
Cell[CellGroupData[{
Cell[765890, 14590, 605, 19, 35, "Input"],
Cell[766498, 14611, 151, 3, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[766686, 14619, 275, 7, 35, "Input"],
Cell[766964, 14628, 2078, 47, 494, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[769079, 14680, 366, 10, 28, "Input"],
Cell[769448, 14692, 435, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[769920, 14707, 315, 9, 31, "Input"],
Cell[770238, 14718, 425, 10, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[770700, 14733, 206, 4, 28, "Input"],
Cell[770909, 14739, 817, 20, 28, "Output"]
}, Open ]],
Cell[771741, 14762, 207, 4, 30, "Text"],
Cell[CellGroupData[{
Cell[771973, 14770, 193, 4, 32, "Input"],
Cell[772169, 14776, 886, 22, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[773092, 14803, 406, 12, 35, "Input"],
Cell[773501, 14817, 27238, 475, 493, "Output"]
}, Open ]],
Cell[800754, 15295, 199, 4, 30, "Text"]
}, Open ]],
Cell[CellGroupData[{
Cell[800990, 15304, 147, 1, 35, "Subsubsection"],
Cell[801140, 15307, 248, 5, 30, "Text"],
Cell[801391, 15314, 203, 4, 30, "Text"],
Cell[CellGroupData[{
Cell[801619, 15322, 144, 3, 32, "Input"],
Cell[801766, 15327, 3820, 93, 46, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[805623, 15425, 456, 13, 35, "Input"],
Cell[806082, 15440, 13424, 227, 488, "Output"]
}, Open ]],
Cell[819521, 15670, 246, 5, 30, "Text"],
Cell[CellGroupData[{
Cell[819792, 15679, 144, 3, 32, "Input"],
Cell[819939, 15684, 2338, 57, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[822314, 15746, 404, 12, 35, "Input"],
Cell[822721, 15760, 13135, 222, 499, "Output"]
}, Open ]],
Cell[835871, 15985, 526, 8, 87, "Text"],
Cell[836400, 15995, 466, 8, 68, "Text"]
}, Open ]]
}, Open ]]
}, Open ]],
Cell[CellGroupData[{
Cell[836927, 16010, 226, 5, 115, "Section"],
Cell[837156, 16017, 79, 1, 28, "Input"],
Cell[CellGroupData[{
Cell[837260, 16022, 106, 1, 44, "Subsection"],
Cell[837369, 16025, 139, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[837533, 16032, 652, 20, 28, "Input"],
Cell[838188, 16054, 2280, 60, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[840505, 16119, 475, 10, 28, "Input"],
Cell[840983, 16131, 1922, 48, 28, "Output"]
}, Open ]],
Cell[842920, 16182, 258, 8, 34, "Text"],
Cell[843181, 16192, 1187, 29, 94, "Input"],
Cell[CellGroupData[{
Cell[844393, 16225, 231, 6, 28, "Input"],
Cell[844627, 16233, 1492, 34, 79, "Output"]
}, Open ]],
Cell[846134, 16270, 552, 15, 47, "Input"],
Cell[CellGroupData[{
Cell[846711, 16289, 877, 21, 31, "Input"],
Cell[847591, 16312, 4627, 89, 272, "Output"]
}, Open ]],
Cell[852233, 16404, 158, 3, 30, "Text"],
Cell[852394, 16409, 864, 22, 63, "Input"],
Cell[CellGroupData[{
Cell[853283, 16435, 236, 6, 28, "Input"],
Cell[853522, 16443, 1363, 33, 66, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[854922, 16481, 632, 18, 31, "Input"],
Cell[855557, 16501, 5709, 106, 238, "Output"]
}, Open ]],
Cell[861281, 16610, 324, 9, 34, "Text"]
}, Open ]],
Cell[CellGroupData[{
Cell[861642, 16624, 106, 1, 44, "Subsection"],
Cell[861751, 16627, 137, 3, 30, "Text"],
Cell[CellGroupData[{
Cell[861913, 16634, 411, 12, 28, "Input"],
Cell[862327, 16648, 949, 26, 28, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[863313, 16679, 300, 7, 28, "Input"],
Cell[863616, 16688, 836, 21, 28, "Output"]
}, Open ]],
Cell[864467, 16712, 981, 26, 94, "Input"],
Cell[CellGroupData[{
Cell[865473, 16742, 238, 5, 28, "Input"],
Cell[865714, 16749, 418, 10, 59, "Output"]
}, Open ]],
Cell[866147, 16762, 309, 5, 49, "Text"],
Cell[866459, 16769, 552, 15, 47, "Input"],
Cell[CellGroupData[{
Cell[867036, 16788, 634, 18, 31, "Input"],
Cell[867673, 16808, 2797, 55, 238, "Output"]
}, Open ]],
Cell[870485, 16866, 641, 19, 63, "Input"],
Cell[CellGroupData[{
Cell[871151, 16889, 161, 3, 28, "Input"],
Cell[871315, 16894, 310, 9, 59, "Output"]
}, Open ]],
Cell[CellGroupData[{
Cell[871662, 16908, 583, 17, 31, "Input"],
Cell[872248, 16927, 3508, 67, 238, "Output"]
}, Open ]],
Cell[875771, 16997, 311, 9, 32, "Text"],
Cell[CellGroupData[{
Cell[876107, 17010, 186, 4, 32, "Input"],
Cell[876296, 17016, 77, 1, 28, "Output"]
}, Open ]],
Cell[876388, 17020, 98, 1, 30, "Text"],
Cell[CellGroupData[{
Cell[876511, 17025, 297, 6, 28, "Input"],
Cell[876811, 17033, 227, 4, 62, "Output"]
}, Open ]]
}, Open ]]
}, Open ]]
}, Open ]]
}
]
*)
(* End of internal cache information *)