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

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Antoranz Canales, Pedro and Barrio Uña, Juan Abel and Contreras González, José Luis and Fonseca González, Mª Victoria and López Moya, Marcos and Miranda Pantoja, José Miguel and Nieto, Daniel (2008) Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC. Nuclear instruments & methods in physics research. Section A, Accelerators spectrometers detectors and associated equipment, 588 (3). pp. 424-432. ISSN 0168-9002

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Official URL: http://dx.doi.org/10.1016/j.nima.2007.11.068




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. (C) 2008 Published by Elsevier B.V.


Item Type:Article
Additional Information:

© Elsevier Science.We thank Jens Zimmermann for fruitful discussions about the RF method and for comparisons of the RF
method with a Neural Net approach.

Uncontrolled Keywords:Gamma-Ray, Separation, Radiation.
Subjects:Sciences > Physics > Electronics
Sciences > Physics > Electricity
Sciences > Physics > Nuclear physics
ID Code:23164
Deposited On:16 Oct 2013 09:18
Last Modified:10 Dec 2018 14:58

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