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Data analysis for the MEGA prototype
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DOI：10.1016/j.newar.2003.11.049.png)
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Abstract
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The data analysis for combined Compton and Pair telescopes like the Medium Energy Gamma-Ray Astronomy telescope (MEGA) separates into three basic steps: the starting point is the calibration and low-level data-analysis. It is followed by the most critical part, the event reconstruction, which has to identify all event types (pair-creation, Compton events, charged particles, etc.) while effectively suppressing different kinds of background (photons from below, chance coincidences, activation, etc.). The last stage, the high level data analysis, is dominated by image reconstruction, which in our case is performed by a technique called list-mode maxim um-likelihood expectation-maximization. The current performance of the data analysis algorithms is demonstrated by calibration measurements of the MEGA prototype. (C) 2003 Elsevier B.V. All rights reserved.
Keywords:
gamma-ray telescopes and instrumentation
data reduction techniques
image processing
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