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

Preprint

24 September 2007

preprint
Published by arXiv in arXiv

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.

Keywords

APPLICATION OF THE RF
METHOD RANDOM FOREST
ANALYSIS OF DATA
TELESCOPE MAGIC
RANDOM FOREST
DISCRIMINATED
GAMMA RAYS
DISCRETE
COSMIC

All Related Versions

Version 1, 2007-09-24, ArXiv
Version 2, 2007-11-08, ArXiv
Published version: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 588 (3), 424.

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