Author/Authors :
Albert، نويسنده , , J. and Aliu، نويسنده , , E. and Anderhub، نويسنده , , H. and Antoranz، نويسنده , , P. and Armada، نويسنده , , A. and Asensio، نويسنده , , M. and Baixeras، نويسنده , , C. and Barrio، نويسنده , , J.A. and Bartko، نويسنده , , H. and Bastieri، نويسنده , , D. and Becker، نويسنده , , J. and Bednarek، نويسنده , , W. and Berger، نويسنده , , K. and Bigongiari، نويسنده , , C. and Biland، نويسنده , , A. and Bock، نويسنده , , R.K. and ، نويسنده ,
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.
