Methods for multidimensional event classification: A case study using images from a Cherenkov gamma-ray telescope

By R. Bock, A. Chilingarian, M. Gaug, F. Hakl, T. Hengstebeck, Marcel Jirina Jr., J. Klaschka, E. Kotrč, P. Savický, S. Towers and 2 more. 2004

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VHE γ-Ray Observation of the Crab Nebula and its Pulsar with the MAGIC Telescope (2007, methodology): “For the purpose of γ/hadron separation we applied a multivariate method, the Random Forest (Breiman 2001; Bock et al. 2004), which uses the Hillas-parameters to compute the Hadronness of an event.”
PROBING THE PULSAR ORIGIN OF THE ANOMALOUS POSITRON FRACTION WITH AMS-02 AND ATMOSPHERIC CHERENKOV TELESCOPES (2013, methodology): “To this end, the H.E.S.S. collaboration has adopted a random forest approach (Breiman & Cutler 2004; Bock et al. 2004) intended to convert information about the observed shower into a parameter ζ which describes the extent to which the shower is electron-like.”
Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC (2007, methodology): “An extensive comparison of methods applied to Monte Carlo data sets for training and test samples was given in [1].”