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Título:
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Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC
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Autores:
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Antoranz Canales, Pedro ;
Barrio Uña, Juan Abel ;
Contreras González, José Luis ;
Fonseca González, Mª Victoria ;
López Moya, Marcos ;
Miranda Pantoja, José Miguel ;
Nieto, Daniel
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Tipo de documento:
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texto impreso
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Editorial:
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Elsevier Science BV, 2008-04-11
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Física: Electrónica
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Materia = Ciencias: Física: Electricidad
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Materia = Ciencias: Física: Física nuclear
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Tipo = Artículo
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Resumen:
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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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En línea:
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https://eprints.ucm.es/id/eprint/23164/2/MirandaJM61preprint.pdf
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