%0 Journal Article
%A Antoranz Canales, Pedro
%A Barrio Uña, Juan Abel
%A Contreras González, José Luis
%A Fonseca González, María Victoria
%A López Moya, Marcos
%A Miranda Pantoja, José Miguel
%A Nieto Castaño, Daniel
%T Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC
%D 2008
%@ 0168-9002
%U https://hdl.handle.net/20.500.14352/50837
%X 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.
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