mirror of
https://github.com/vale981/fpraktikum
synced 2025-03-04 09:11:37 -05:00
some fine tuning
This commit is contained in:
parent
ea445ea54c
commit
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25 changed files with 10181 additions and 214 deletions
293
GL/scripts/Untitled2.ipynb
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GL/scripts/Untitled2.ipynb
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GL/scripts/figs/kaustik/kaust_red-img0.png
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GL/scripts/figs/kaustik/kaust_red-img0.png
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GL/scripts/figs/kaustik/kaust_red.pdf
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GL/scripts/figs/kaustik/kaust_red.pdf
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GL/scripts/figs/kaustik/kaust_red.pgf
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GL/scripts/figs/kaustik/kaust_red.pgf
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%% Creator: Matplotlib, PGF backend
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%%
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%% To include the figure in your LaTeX document, write
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%% \input{<filename>.pgf}
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%%
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%% Make sure the required packages are loaded in your preamble
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%% \usepackage{pgf}
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%%
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%% Figures using additional raster images can only be included by \input if
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%% they are in the same directory as the main LaTeX file. For loading figures
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%% from other directories you can use the `import` package
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%% \usepackage{import}
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%% and then include the figures with
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%% \import{<path to file>}{<filename>.pgf}
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%%
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%% Matplotlib used the following preamble
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%% \usepackage{fontspec}
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%%
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|
||||
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|
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|
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|
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|
||||
\pgfsetdash{}{0pt}%
|
||||
\pgfpathmoveto{\pgfqpoint{4.222133in}{0.372222in}}%
|
||||
\pgfpathlineto{\pgfqpoint{4.222133in}{3.816489in}}%
|
||||
\pgfusepath{stroke}%
|
||||
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|
||||
\begin{pgfscope}%
|
||||
\pgfsetrectcap%
|
||||
\pgfsetmiterjoin%
|
||||
\pgfsetlinewidth{0.803000pt}%
|
||||
\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}%
|
||||
\pgfsetstrokecolor{currentstroke}%
|
||||
\pgfsetdash{}{0pt}%
|
||||
\pgfpathmoveto{\pgfqpoint{0.777867in}{0.372222in}}%
|
||||
\pgfpathlineto{\pgfqpoint{4.222133in}{0.372222in}}%
|
||||
\pgfusepath{stroke}%
|
||||
\end{pgfscope}%
|
||||
\begin{pgfscope}%
|
||||
\pgfsetrectcap%
|
||||
\pgfsetmiterjoin%
|
||||
\pgfsetlinewidth{0.803000pt}%
|
||||
\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}%
|
||||
\pgfsetstrokecolor{currentstroke}%
|
||||
\pgfsetdash{}{0pt}%
|
||||
\pgfpathmoveto{\pgfqpoint{0.777867in}{3.816489in}}%
|
||||
\pgfpathlineto{\pgfqpoint{4.222133in}{3.816489in}}%
|
||||
\pgfusepath{stroke}%
|
||||
\end{pgfscope}%
|
||||
\end{pgfpicture}%
|
||||
\makeatother%
|
||||
\endgroup%
|
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|
@ -20,7 +20,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
@ -45,7 +45,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 43,
|
||||
"execution_count": 21,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
@ -67,7 +67,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 44,
|
||||
"execution_count": 22,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
@ -94,10 +94,10 @@
|
|||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f9c80b81520>)"
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f247083fdc0>)"
|
||||
]
|
||||
},
|
||||
"execution_count": 44,
|
||||
"execution_count": 22,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
|
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|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 45,
|
||||
"execution_count": 23,
|
||||
"metadata": {
|
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"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
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|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 46,
|
||||
"execution_count": 24,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
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|
|||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f9c80b491f0>)"
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f247080f160>)"
|
||||
]
|
||||
},
|
||||
"execution_count": 46,
|
||||
"execution_count": 24,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
|
@ -189,7 +189,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 47,
|
||||
"execution_count": 25,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
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|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 48,
|
||||
"execution_count": 26,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
@ -232,10 +232,10 @@
|
|||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f9c80b16df0>)"
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f24707dbd90>)"
|
||||
]
|
||||
},
|
||||
"execution_count": 48,
|
||||
"execution_count": 26,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
|
@ -258,7 +258,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 49,
|
||||
"execution_count": 27,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
@ -280,7 +280,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 50,
|
||||
"execution_count": 28,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
@ -348,10 +348,10 @@
|
|||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f9c80ac5af0>)"
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f2470734bb0>)"
|
||||
]
|
||||
},
|
||||
"execution_count": 50,
|
||||
"execution_count": 28,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
|
@ -374,7 +374,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 51,
|
||||
"execution_count": 29,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
|
@ -442,10 +442,10 @@
|
|||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f9c80a9f400>)"
|
||||
"(<Figure size 144x144 with 1 Axes>,\n <matplotlib.axes._subplots.AxesSubplot at 0x7f247070c130>)"
|
||||
]
|
||||
},
|
||||
"execution_count": 51,
|
||||
"execution_count": 29,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
},
|
||||
|
@ -465,51 +465,6 @@
|
|||
"source": [
|
||||
"create_matrix_image(reconstruct(conv, backweights), save=('rec_filtered', 'theory'))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 51,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
"ein.hycell": false,
|
||||
"ein.tags": "worksheet-0",
|
||||
"slideshow": {
|
||||
"slide_type": "-"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
"ein.hycell": false,
|
||||
"ein.tags": "worksheet-0",
|
||||
"slideshow": {
|
||||
"slide_type": "-"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"autoscroll": false,
|
||||
"collapsed": false,
|
||||
"ein.hycell": false,
|
||||
"ein.tags": "worksheet-0",
|
||||
"slideshow": {
|
||||
"slide_type": "-"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
|
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|
@ -2038,4 +2038,196 @@
|
|||
\caption{}
|
||||
\label{fig:theory-rec_filtered}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/mid_over_energy.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-mid_over_energy}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/mid_over_channel.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-mid_over_channel}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/time_range.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-time_range}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/all_times.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-all_times}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/lenght_det.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-lenght_det}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/comp.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-comp}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/tom1/3dplot.pgf}
|
||||
\caption{}
|
||||
\label{fig:tom1-3dplot}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/tom1/filtered_fit.pgf}
|
||||
\caption{}
|
||||
\label{fig:tom1-filtered_fit}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/tom1/unfiltered_fit.pgf}
|
||||
\caption{}
|
||||
\label{fig:tom1-unfiltered_fit}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/tom1/3dplot.pgf}
|
||||
\caption{}
|
||||
\label{fig:tom1-3dplot}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/tom1/filtered_fit.pgf}
|
||||
\caption{}
|
||||
\label{fig:tom1-filtered_fit}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/tom1/unfiltered_fit.pgf}
|
||||
\caption{}
|
||||
\label{fig:tom1-unfiltered_fit}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/mid_over_energy.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-mid_over_energy}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/mid_over_channel.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-mid_over_channel}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/time_range.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-time_range}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/all_times.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-all_times}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/calibration/lenght_det.pgf}
|
||||
\caption{}
|
||||
\label{fig:calibration-lenght_det}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/source.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-source}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/projection.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-projection}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/convoluted.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-convoluted}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/rec_simple.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-rec_simple}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/rec_filtered.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-rec_filtered}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/source.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-source}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/projection.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-projection}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/convoluted.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-convoluted}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/rec_simple.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-rec_simple}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/rec_filtered.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-rec_filtered}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/source.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-source}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/projection.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-projection}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/convoluted.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-convoluted}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/rec_simple.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-rec_simple}
|
||||
\end{figure}
|
||||
|
||||
\begin{figure}[H]\centering
|
||||
\input{../auswertung/figs/theory/rec_filtered.pgf}
|
||||
\caption{}
|
||||
\label{fig:theory-rec_filtered}
|
||||
\end{figure}
|
||||
|
File diff suppressed because one or more lines are too long
|
@ -303,7 +303,7 @@ mit der Kantenl\"ange des Detektors
|
|||
\begin{align}
|
||||
\label{eq:incidentalrate}
|
||||
\mathfrak{R}_Z &= \qty[4\tau\cdot A\cdot
|
||||
\qty(\frac{\Omega_{\min}}{2\pi})]\cdot \mathfrak{R} \pm
|
||||
\qty(\frac{\Omega_{\min}}{2\pi})]\cdot \mathfrak{R} \pm \mathfrak{R}_Z\cdot
|
||||
\sqrt{\qty(\frac{\Delta\tau}{\tau})^2 + \qty(\frac{\Delta A}{A})^2 +
|
||||
\qty(\frac{\Delta\Omega_{\min}}{\Omega_{\min}})^2 +
|
||||
\qty(\frac{\Delta\mathfrak{R}}{\mathfrak{R}})^2} \\
|
||||
|
@ -320,7 +320,7 @@ mit \(P_\beta = 0.90382\pm 0.00021\) zu:
|
|||
|
||||
\begin{align}
|
||||
\epsilon & = \frac{\mathfrak{R}}{P_\beta\cdot A \cdot
|
||||
\frac{\Omega_{\min}}{2\pi}} \pm \sqrt{\qty(\frac{\Delta A}{A})^2 +
|
||||
\frac{\Omega_{\min}}{2\pi}} \pm \epsilon\cdot\sqrt{\qty(\frac{\Delta A}{A})^2 +
|
||||
\qty(\frac{\Delta\Omega_{\min}}{\Omega_{\min}})^2 +
|
||||
\qty(\frac{\Delta P_\beta}{P_\beta})^2 +
|
||||
\qty(\frac{\Delta\mathfrak{R}}{\mathfrak{R}})^2} \\
|
||||
|
@ -674,9 +674,9 @@ von den Eckpunkten eines perfekten Quadrates.
|
|||
[\si{\milli\meter}]} \\
|
||||
|
||||
\midrule
|
||||
1 & 11.89 & 0.1 & 65.604 & 0.04 & 35.972 & 0.04 & 4.664 & 0.028 \\
|
||||
1 & 11.89 & 0.10 & 65.604 & 0.040 & 35.972 & 0.040 & 4.664 & 0.028 \\
|
||||
2 & 22.49 & 0.11 & 67.971 & 0.022 & 64.842 & 0.022 & 4.639 & 0.016 \\
|
||||
3 & 14.24 & 0.16 & 94.68 & 0.06 & 65.9 & 0.06 & 5.22 & 0.04
|
||||
3 & 14.24 & 0.16 & 94.680 & 0.060 & 65.900 & 0.060 & 5.220 & 0.040
|
||||
\end{tabular}
|
||||
\caption[Peakpositionen]{Gefitte Peakamplituden, Positionen und
|
||||
Breiten. Die Abweichungen ergeben sich aus den
|
||||
|
@ -693,17 +693,22 @@ Abw. \SI{3}{\percent}).
|
|||
|
||||
\begin{equation}
|
||||
\label{eq:act3today}
|
||||
A_3 = \SI{19\pm 6}{\kilo\becquerel}
|
||||
A_3 = \SI{19.1\pm .6}{\kilo\becquerel}
|
||||
\end{equation}
|
||||
|
||||
Damit berechnen sich die in~\ref{tab:peakactivities} aufgelisteten
|
||||
Aktivit\"aten der beiden anderen Proben wiefolgt.
|
||||
Aktivit\"aten der beiden anderen Proben wiefolgt durch
|
||||
verh\"altnissbildung der Peak volumina (\(= 2\pi A\sigma**2\)) die ein
|
||||
Ma\ss{} f\"ur die Z\"ahlrate geben. Die Abweichungen liegen alle in
|
||||
der Gr\"o\ss{}enordnung von \SI{3}{\percent} und r\"uhren
|
||||
haupts\"achlich von der Abweichung der Aktivit\"at \(A_3\) her.
|
||||
|
||||
\begin{equation}
|
||||
\label{eq:relakt}
|
||||
A_i = \frac{\mathfrak{A}_i}{\mathfrak{A}_3}\cdot
|
||||
A_3\pm\sqrt{\qty(\frac{\Delta\mathfrak{A}_i}{\mathfrak{A}_i})^2 +
|
||||
\qty(\frac{\Delta\mathfrak{A}_3}{\mathfrak{A}_3})^2 +
|
||||
A_i = \frac{\mathfrak{A}_i\cdot\sigma_i^2}{\mathfrak{A}_3\cdot\sigma_3^2}\cdot
|
||||
A_3\pm
|
||||
A_i\cdot\sqrt{\qty(\frac{\Delta\mathfrak{A}_i}{\mathfrak{A}_i})^2 + \qty(\frac{2\sigma_i}{\sigma_i})^2 +
|
||||
\qty(\frac{\Delta\mathfrak{A}_3}{\mathfrak{A}_3})^2 + \qty(\frac{2\sigma_3}{\sigma_3})^2 +
|
||||
\qty(\frac{\Delta A_3}{A_3})^2}
|
||||
\end{equation}
|
||||
|
||||
|
@ -713,8 +718,8 @@ Aktivit\"aten der beiden anderen Proben wiefolgt.
|
|||
\toprule
|
||||
Peak & {\(A\) [\si{\kilo\becquerel}]} & {\(\Delta A\) [\si{\kilo\becquerel}]} \\
|
||||
\midrule
|
||||
Peak 1 & 16 & 5 \\
|
||||
Peak 2 & 30 & 9
|
||||
Peak 1 & 12.7 & .5 \\
|
||||
Peak 2 & 23.8 & .9
|
||||
\end{tabular}
|
||||
\caption[Rekonstruierte Quellaktivit\"aten]{Die
|
||||
aus~\eqref{eq:relakt} berechneten Quellaktivit\"aten.}
|
||||
|
@ -1125,11 +1130,15 @@ Es ist zu erkennen, das in beiden Rekonstruktionen die starken Signale
|
|||
Unterschiede in der Signalst\"arke nicht im urspr\"unglichen
|
||||
Verh\"altnis stehen. Die gefilterte R\"uckprojektion weist in den
|
||||
Randfeldern und im mittleren Feld einen h\"oheren Kontrast auf,
|
||||
erzeugt aber dennoch nur ein geringf\"ugig besseres und in manchen
|
||||
Bereichen (Ecken) sogar ein schlechteres Bild. Das schwache Signal
|
||||
\((0,4)\) wurde in beiden F\"allen nicht rekonstruiert. F\"uhrt man
|
||||
die Rechnung ohne diesen Punkt aus, ergibt sich kaum ein
|
||||
Unterschied. Schwache Signale werden also nicht gut reproduziert.
|
||||
erzeugt aber dennoch nur ein geringf\"ugig besseres Bild. Der
|
||||
angewendete Filter unterdr\"uckt schwache Signale, die zwischen
|
||||
Starken liegen da die angrenzenden Werte abgezogen werden. Das
|
||||
schwache Signal \((0,4)\) wurde in beiden F\"allen nicht
|
||||
rekonstruiert. F\"uhrt man die Rechnung ohne diesen Punkt aus, ergibt
|
||||
sich kaum ein Unterschied. Schwache Signale werden also nicht gut
|
||||
reproduziert. In beiden F\"allen schmieren die Starken Quellen auf
|
||||
ihren jeweiligen Verbindungsachsen aus. Dies kann ein Effekt der
|
||||
bergrenzten Anzahl von Projektionswinkeln sein.
|
||||
|
||||
\newpage
|
||||
\section{Verzeichnisse}
|
||||
|
|
Loading…
Add table
Reference in a new issue