Implementation of the Random Forest Method for the Imaging Atmospheric Cherenkov Telescope MAGIC

2007/09/30 by J. Albert · 1 citation
Physics and Astronomy · #astro-ph

paper · pdf · doi:10.1016/j.nima.2007.11.068

published as Nucl.Instrum.Meth.A588:424-432,2008 · 16 pages, 8 figures

arxiv created 2007/11/08 · arxiv updated 2009/12/01

Abstract

The paper describes an application of the tree classification method Random Forest (RF), as used in the analysis of data from the ground-based gamma telescope MAGIC. In such telescopes, cosmic gamma-rays are observed and have to be discriminated against a dominating background of hadronic cosmic-ray particles. We describe the application of RF for this gamma/hadron separation. The RF method often shows superior performance in comparison with traditional semi-empirical techniques. Critical issues of the method and its implementation are discussed. An application of the RF method for estimation of a continuous parameter from related variables, rather than discrete classes, is also discussed.

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