Ignore:
Timestamp:
02/15/05 20:28:35 (20 years ago)
Author:
hbartko
Message:
*** empty log message ***
Location:
trunk/MagicSoft/TDAS-Extractor
Files:
4 edited

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  • trunk/MagicSoft/TDAS-Extractor/Changelog

    r6445 r6511  
    1919
    2020                                                 -*-*- END OF LINE -*-*-
     21
     222005/02/15: Hendrik Bartko
     23  * bibfile.bib: included new references
     24  * Introduction.tex: some motivation and overview of the note
     25  * Algorithms.tex: modified the digital filter section
     26  * *.eps: updated several figures explaining the digital filter
     27
    21282004/02/13: Markus Gaug
    2229  * MAGIC_signal_reco.tex: modified caption style because it was un-
  • trunk/MagicSoft/TDAS-Extractor/Introduction.tex

    r6474 r6511  
    11\section{Introduction}
    22
    3 \begin{itemize}
    4 \item{Short description of the MAGIC read-out system}
    5 \end{itemize}
     3
     4The MAGIC telescope aims to study the gamma ray emission from high energy phenomena and the violent physics processes in the universe at the lowest energy threshold possible \cite{low_energy}.
     5
     6
    67
    78Figure~\ref{fig:MAGIC_read-out_scheme} shows a sketch of the MAGIC read-out scheme, including the PMT camera,
     
    4344% Obviously by doing this, more LONS is integrated and thus the performance of the telescope on the analysis level is degraded.
    4445
     46
     47To reach the highest sensitivity and the lowest possible analysis energy threshold the recorded signals from Cherenkov light have to be accurately reconstructed. Therefore the highest possible signal to noise ratio, signal reconstruction resolution and a small bias are important.
     48
     49Monte Carlo (MC) based simulations predict different time structures for gamma and hadron induced shower images as well as for images of single muons. An accurate arrival time determination may therefore improve the separation power of gamma events from the background events. Moreover, the timing information may be used in the image cleaning to discriminate between pixels which signal belongs to the shower and pixels which are affected by randomly timed background noise.
     50
     51
     52This note is structured as follows: In section 2 the average pulse shapes are reconstructed from the recorded FADC samples for calibration and cosmics pulses. These pulse shapes are compared with the pulse shape implemented in the MC. In section 3 different signal reconstruction algorithms and their implementation in the common MAGIC software framework MARS are reviewed. In section 4 criteria for an optimal signal reconstruction are developed. Thereafter the signal extraction algorithms under study are applied to pedestal, calibration and MC events in sections 5 to 7. The CPU requirements of the different algorithms are compared in section 8. Finally in section 9 the results are summarized and in section 10 a standard signal extraction algorithm for MAGIC is proposed.
     53
     54
     55
    4556\par
    4657
     
    5566
    5667
     68
    5769%%% Local Variables:
    5870%%% mode: latex
    5971%%% TeX-master: "MAGIC_signal_reco"
    6072%%% End:
     73
  • trunk/MagicSoft/TDAS-Extractor/MAGIC_signal_reco.bbl

    r6474 r6511  
    11\begin{thebibliography}{10}
     2
     3\bibitem{low_energy}
     4C.~Baixeras et~al.,
     5\newblock {\em Physics with a ground-based gamma-ray telescope of low energy
     6  threshold},
     7\newblock (2005), In preparation.
    28
    39\bibitem{Magic-PMT}
  • trunk/MagicSoft/TDAS-Extractor/bibfile.bib

    r6474 r6511  
     1@Article{low_energy,
     2     author    = "Baixeras, C. and others",
     3     title     = "Physics with a ground-based gamma-ray telescope of low energy threshold",
     4     year      = "2005",
     5     note      = "In preparation"
     6}
     7
    18@manual{GSamlesFADC,
    29     author    = "Bartko, H. and others",
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