Add plots to appendix showing that we understand the time delay between signal and cell in the fish

img/sigma/parameter_assessment/binsXvsY_instructions.txt

@@ -0,0 +1,2 @@
+compare_params_300.py on oilbird.
+/data/huben/efish_plots/sigma_calculations

img/sigma/parameter_assessment/gauss1v5_instructions.txt

@@ -0,0 +1,2 @@
+compare_params.py on oilbird.
+/data/huben/efish_plots/sigma_calculations

main.tex

@@ -782,6 +782,16 @@ to the coding fraction in a single cell is larger for higher frequencies.
  \label{sigma_bins}
 \end{figure}
 
+%compare_params.py auf oilbird
+\begin{figure}
+ \includegraphics[width=0.45\linewidth]{img/sigma/parameter_assessment/gauss1v5_30.pdf}
+ \includegraphics[width=0.45\linewidth]{img/sigma/parameter_assessment/gauss1v5_50.pdf}
+ \includegraphics[width=0.45\linewidth]{img/sigma/parameter_assessment/gauss1v5_100.pdf}
+ \includegraphics[width=0.45\linewidth]{img/sigma/parameter_assessment/gauss1v5_300.pdf}
+ \caption{Width of the Gaussian distribution we convolve with the spike from the experiments doesn't change the $\sigma$ we get after calculation. We use this Gaussian distribution to calculate the delay between the signal being emitted and the signal being acted upon by the cell. We tried for all different bin numbers we thought of using and in all the $\sigma$ result stays more or less the same. There are no systematic differences.}
+ \label{sigma_gauss}
+\end{figure}
+
 
 %box_script.py, quot_sigma() und quot_sigma_narrow()
 \begin{figure}