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Timestamp:
02/16/05 16:48:39 (20 years ago)
Author:
gaug
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  • trunk/MagicSoft/TDAS-Extractor/Calibration.tex

    r6533 r6534  
    383383
    384384\par
    385 Figure~\ref{fig:linear:phevscharge4} shows the conversion factor $c_{phe}$
    386 obtained for different light intensities
     385Figure~\ref{fig:linear:phevscharge4} shows the conversion factor $c_{phe}$ obtained for different light intensities
    387386and colours for three exemplary inner and three exemplary outer pixels using a fixed window on
    3883878 FADC slices. The conversion factor seems to be linear to a good approximation,
     
    427426\end{figure}
    428427
     428\begin{figure}[h!]
     429\centering
     430\includegraphics[width=0.99\linewidth]{PheVsCharge-11.eps}
     431\caption{Example of a the development of the conversion factor FADC counts to photo-electrons for three
     432exemplary inner pixels (upper plots) and three exemplary outer ones (lower plots) obtained with the extractor
     433{\textit{MExtractFixedWindowPeakSearch}}
     434on a window size of 2 high-gain and 2 low-gain slices (extractor \#11). }
     435\label{fig:linear:phevscharge11}
     436\end{figure}
     437
     438Figure~\ref{fig:linear:phevscharge11} shows the conversion factors using a fixed window with global peak search
     439integrating a window of 2 FADC slices. One can see that the linearity is completely lost! Especially in the low-gain,
     440the reconstructed number of photo-electrons is much too low and the conversion factors bend down. A similiar behaviour can
     441be found for all extractors with window sizes smaller than 6 FADC slices, especially in the low-gain region. (This behaviour
     442was already visible in the investigations on the number of photo-electrons in the previous section~\ref{sec:photo-electrons}).
     443\par
    429444Figure~\ref{fig:linear:phevscharge20} shows the conversion factors using a sliding window of 6 FADC slices.
    430445The linearity is maintained like in the previous examples, except for the smallest signals the effect
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