Implementation of the Random Forest Method for the Imaging Atmospheric Cherenkov Telescope MAGIC
Astrophysics
2008-11-26 v2
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.
Cite
@article{arxiv.0709.3719,
title = {Implementation of the Random Forest Method for the Imaging Atmospheric Cherenkov Telescope MAGIC},
author = {J. Albert},
journal= {arXiv preprint arXiv:0709.3719},
year = {2008}
}
Comments
16 pages, 8 figures