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Timestamp:
02/21/05 13:31:27 (20 years ago)
Author:
hbartko
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  • trunk/MagicSoft/TDAS-Extractor/MonteCarlo.tex

    r6644 r6646  
    187187\subsection{Measurement of the Resolutions \label{sec:mc:resolutions}}
    188188
     189In order to obtain the resolution of a given extractor, we calculated the RMS of the distribution:
     190
     191\begin{equation}
     192R_{\mathrm{MC}} \approx RMS(\widehat{Q}_{rec} - Q_{sim})
     193\end{equation}
     194
     195where $\widehat{Q}_{rec}$ is the reconstructed charge, calibrated to photo-electrons with the conversion factors obtained in
     196section~\ref{sec:mc:convfactors}.
     197\par
     198One can see that for small signals, small extracion windows yield better resolutions, but extractors which do not
     199entirely cover the whole pulse, show a clear dependency of the resolution with the signal strength. In the high-gain region,
     200this is valid for all fixed window extractors up to 6~FADC slices integraion region, all sliding window extractors up to 4~FADC
     201slices and for all spline extractors and the digital filter. Among those extractors with a signal dependent resolution, the
     202digital filter with 6~FADC slices extraction window shows the smallest dependency, namely 80\% per 50 photo-electrons. This
     203finding is at first sight in contradiction with eq.~\ref{eq:of_noise} where the (theoretical) resolution depends only on the
     204noise intensity, but not on the signal strength. Here, the input light distribution of the simulated light pulse introduces the
     205amplitude dependency (the constancy is recovered for photon signals with no intrinsic input time spread). Here, the main
     206difference between the spline and digital filter extractors is found: At all intensities, but especially very low intensities, the
     207resolution of the digital filter is much better than the one for the spline.
     208
    189209\begin{figure}[htp]
    190210\centering
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