\section{Monte Carlo \label{sec:mc}}

\subsection{Introduction \label{sec:mc:intro}}

Many charasteristics of the extractor can only be investigated with the use of Monte-Carlo simulations~\cite{MC-Camera} 
of signal pulses and noise for the following reasons:

\begin{itemize}
\item While in real conditions, the signal can only be obtained in a Poisson distribution, simulated pulses of a specific 
number of photo-electrons can be generated.
\item The intrinsic arrival time spread can be chosen within the simulation.
\item The noise auto-correlation in the low-gain channel cannot be determined from data, 
but instead has to be retrieved from Monte-Carlo studies.
\item The same pulse can be studied with and without added noise, where the noise level can be deliberately adjusted.
\item The photo-multiplier and optical link gain fluctuations can be tuned or switched off completely.
\end{itemize}

Nevertheless, there are always systematic differences between the simulation and the real detector. In our case, especially the 
following short-comings are of concern:

\begin{itemize}
\item The low-gain pulse is not yet simulated with the correct pulse width, but instead the same pulse shape as the one of the 
high-gain channel has been used.
\item The low-gain pulse is delayed by only 15 FADC slices in the Monte-Carlo simulations, while it arrives about 16.5 FADC slices 
after the high-gain pulse in real conditions.
\item No switching noise due to the low-gain switch has been simulated.
\item The intrinsic transit time spread of the photo-multipliers has not been simulated.
\item The total dynamic range of the entire signal transmission chain was set to infinite, thus the detector has been simulated 
to be completely linear.
\end{itemize}

For the subsequent studies, the following settings have been used: 

\begin{itemize}
\item The gain fluctuations for signal pulses were switched off.
\item The gain fluctuations for the background noise of the light of night sky were instead fully simulated, i.e. very close to 
real conditions.
\item The intrinsic arrival time spread of the photons was set to be 1\,ns, as expected for gamma showers.
\item The conversion of total integrated charge to photo-electrons was set to be 7.8~FADC~counts 
per photo-electron, independent of the signal strength.
\item The trigger jitter was set to be uniformly distributed over 1~FADC slice only.
\item Only one inner pixel has been simulated.
\end{itemize}

The last point had the consequence that the extractor {\textit {\bf MExtractFixedWindowPeakSearch}} could not be tested since 
it was equivalent to the sliding window. 
In the following, we used the Monte-Carlo to determine especially the following quantities for each of the tested extractors:

\begin{itemize}
\item The charge resolution as a function of the input signal strength.
\item The charge extraction bias as a function of the input signal strength.
\item The time resolution as a function of the input signal strength.
\item The effect of adding or removing noise for the above quantities.
\end{itemize}

\subsection{Conversion Factors \label{sec:mc:convfactors}}

The following figures~\ref{fig:mc:ChargeDivNphe_FixW} through~\ref{fig:mc:ChargeDivNphe_DFSpline} show the conversion factors 
between reconstructed charge and the number of input photo-electrons for each of the tested extractors, with and without added noise 
and for the high-gain and low-gain channels, respectively. One can see that the conversion factors depend on the extraction window size and 
that the addition of noise raises the conversion factors uniformly for all fixed window extractors in the high-gain channel, 
while the sliding window extractors show a bias a low signal intensities.

\begin{figure}[htp]%%[t!]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_FixW_NoNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_FixW_WithNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_FixW_NoNoise_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_FixW_WithNoise_LoGain.eps}
\caption[Charge per Number of photo-electrons Fixed Windows]{Extracted charge per photoelectron versus number of photoelectrons, 
for fixed window extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:ChargeDivNphe_FixW}
\end{figure}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_SlidW_NoNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_SlidW_WithNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_SlidW_NoNoise_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_SlidW_WithNoise_LoGain.eps}
\caption[Charge per Number of photo-electrons Sliding Windows]{Extracted charge per photoelectron versus number of photoelectrons, 
for sliding window extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:ChargeDivNphe_SlidW}
\end{figure}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_DFSpline_NoNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_DFSpline_WithNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_DFSpline_NoNoise_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_DFSpline_WithNoise_LoGain.eps}
\caption[Charge per Number of photo-electrons Spline and Digital Filter]{Extracted charge per photoelectron versus number of photoelectrons, 
for spline and digital filter extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:ChargeDivNphe_DFSpline}
\end{figure}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

\subsection{Measurement of the Biases \label{sec:mc:baises}}

\begin{figure}[htp]%%[t!]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_FixW_NoNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_FixW_WithNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_FixW_NoNoise_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_FixW_WithNoise_LoGain.eps}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeDivNphevsNphe_FixW_WithNoise_LoGain.eps}
\caption[Bias Fixed Windows]{The measured bias (extracted charge divided by the conversion factor minus the number of photoelectrons) 
versus number of photoelectrons, 
for fixed window extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:ConversionvsNphe_FixW}
\end{figure}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_SlidW_NoNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_SlidW_WithNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_SlidW_NoNoise_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_SlidW_WithNoise_LoGain.eps}
\caption[Bias Sliding Windows]{The measured bias (extracted charge divided by the conversion factor minus the number of photoelectrons) 
versus number of photoelectrons, 
for sliding window extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:ConversionvsNphe_SlidW}
\end{figure}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_DFSpline_NoNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_DFSpline_WithNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_DFSpline_NoNoise_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ConversionvsNphe_DFSpline_WithNoise_LoGain.eps}
\caption[Bias Spline and Digital Filter]{The measured bias (extracted charge divided by the conversion factor minus the number of photoelectrons) 
versus number of photoelectrons, 
for spline and digital filter extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:ConversionvsNphe_DFSpline}
\end{figure}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_FixW_NoNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_FixW_WithNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_FixW_NoNoise_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_FixW_WithNoise_LoGain.eps}
\caption[Charge Resolution Fixed Windows]{The measured resolution (RMS of extracted charge divided by the conversion factor minus the number of photoelectrons) versus number of photoelectrons, 
for fixed window extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:ChargeRes_FixW}
\end{figure}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_SlidW_NoNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_SlidW_WithNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_SlidW_NoNoise_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_SlidW_WithNoise_LoGain.eps}
\caption[Charge Resolution Sliding Windows]{The measured resolution (RMS of extracted charge divided by the conversion factor minus the number of photoelectrons) versus number of photoelectrons, 
for sliding window extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:ChargeRes_SlidW}
\end{figure}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_DFSpline_NoNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_DFSpline_WithNoise_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_DFSpline_NoNoise_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_ChargeRes_DFSpline_WithNoise_LoGain.eps}
\caption[Charge Resolution Spline and Digital Filter]{The measured resolution 
(RMS of extracted charge divided by the conversion factor minus the number of photoelectrons) versus number of photoelectrons, 
for spline and digital filter extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:ChargeRes_DFSpline}
\end{figure}

\clearpage

\subsection{Charge Signals with and without Simulated Noise \label{fig:mc:sec:mc:chargenoise}}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_Bias_SlidW_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_Bias_FixW_HiGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_Bias_DFSpline_HiGain.eps}
\caption[Bias due to noise high-gain]{Bias due to noise: Difference of extracted charge of same events, with and without simulated noise, 
for different extractor methods in the high-gain region.}
\label{fig:mc:Bias_HiGain}
\end{figure}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_Bias_SlidW_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_Bias_FixW_LoGain.eps}
  \vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_Bias_DFSpline_LoGain.eps} 
\caption[Bias due to noise low-gain]{Bias due to noise: Difference of extracted charge of same events, with and without simulated noise, 
for different extractor methods in the low-gain region.}
\label{fig:mc:Bias_LoGain}
\end{figure}

\clearpage

\subsection{Arrival Times \label{sec:mc:times}}

\begin{figure}[htp]%%[t!]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_TimeRes_SlidW_NoNoise_HiGain.eps}
\vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_TimeRes_SlidW_WithNoise_HiGain.eps}
\vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_TimeRes_SlidW_NoNoise_LoGain.eps}
\vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_TimeRes_SlidW_WithNoise_LoGain.eps}
\caption[Time Resolution Sliding Windows]{The measured time resolution (RMS of extracted time minus simulated time) 
versus number of photoelectrons, 
for sliding window extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:TimeRes_SlidW}
\end{figure}

\begin{figure}[htp]
\centering
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_TimeRes_DFSpline_NoNoise_HiGain.eps}
\vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_TimeRes_DFSpline_WithNoise_HiGain.eps}
\vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_TimeRes_DFSpline_NoNoise_LoGain.eps}
\vspace{\floatsep}
  \includegraphics[width=0.49\linewidth]{TimeAndChargePlots/TDAS_TimeRes_DFSpline_WithNoise_LoGain.eps}
\caption[Time Resolution Spline and Digital Filter]{The measured time resolution (RMS of extracted time minus simulated time) 
versus number of photoelectrons, 
for spline and digital filter window extractors in different window sizes. The top plots show the high-gain and the bottom ones 
low-gain regions. Left: without noise, right: with simulated noise.}
\label{fig:mc:TimeRes_DFSpline}
\end{figure}


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