Implementation of the Random Forest Method for the Imaging Atmospheric Cherenkov Telescope MAGIC
| dc.creator | Albert, J. | |
| dc.date | 2007-09-24 | |
| dc.date | 2007-11-08 | |
| dc.date.accessioned | 2026-07-07T11:37:26Z | |
| dc.date.available | 2026-07-07T11:37:26Z | |
| dc.description | 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. | |
| dc.description | 16 pages, 8 figures | |
| dc.identifier | https://arxiv.org/abs/0709.3719 | |
| dc.identifier | http://arxiv.org/abs/0709.3719 | |
| dc.identifier | Nucl.Instrum.Meth.A588:424-432,2008 | |
| dc.identifier | doi:10.1016/j.nima.2007.11.068 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/199205 | |
| dc.subject | Astrophysics | |
| dc.title | Implementation of the Random Forest Method for the Imaging Atmospheric Cherenkov Telescope MAGIC | |
| dc.type | text |