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

J. Albert; E. Aliu; H. Anderhub; P. Antoranz; A. Armada; M. Asensio; C. Baixeras; J. A. Barrio; H. Bartko; D. Bastieri; J. Becker; W. Bednarek; K. Berger; C. Bigongiari; A. Biland; R. K. Bock; P. Bordas; V. Bosch-Ramon; T. Bretz; I. Britvitch; M. Camara; E. Carmona; A. Chilingarian; S. Ciprini; J. A. Coarasa; S. Commichau; J. L. Contreras; J. Cortina; M. T. Costado; V. Curtef; V. Danielyan; F. Dazzi; A. De Angelis; C. Delgado; R. de los Reyes; B. De Lotto; E. Domingo-Santamaría; D. Dorner; M. Doro; M. Errando; M. Fagiolini; D. Ferenc; E. Fernández; R. Firpo; J. Flix; M. V. Fonseca; L. Font; M. Fuchs; N. Galante; R. J. García-López; M. Garczarczyk; M. Gaug; M. Giller; F. Goebel; D. Hakobyan; M. Hayashida; T. Hengstebeck; A. Herrero; D. Höhne; J. Hose; S. Huber; C. C. Hsu; P. Jacon; T. Jogler; R. Kosyra; D. Kranich; R. Kritzer; A. Laille; E. Lindfors; S. Lombardi; F. Longo; J. López; M. López; E. Lorenz; P. Majumdar; G. Maneva; K. Mannheim; M. Mariotti; M. Martínez; D. Mazin; C. Merck; M. Meucci; M. Meyer; J. M. Miranda; R. Mirzoyan; S. Mizobuchi; A. Moralejo; D. Nieto; K. Nilsson; J. Ninkovic; E. Oña-Wilhelmi; N. Otte; I. Oya; M. Panniello; R. Paoletti; J. M. Paredes; M. Pasanen; D. Pascoli; F. Pauss; R. Pegna

doi:10.1016/j.nima.2007.11.068

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

J. Albert, E. Aliu, H. Anderhub, P. Antoranz, A. Armada, M. Asensio, C. Baixeras, J. A. Barrio, H. Bartko, D. Bastieri, J. Becker, W. Bednarek, K. Berger, C. Bigongiari, A. Biland, R. K. Bock, P. Bordas, V. Bosch-Ramon, T. Bretz, I. BritvitchM. Camara, E. Carmona, A. Chilingarian, S. Ciprini, J. A. Coarasa, S. Commichau, J. L. Contreras, J. Cortina, M. T. Costado, V. Curtef, V. Danielyan, F. Dazzi, A. De Angelis, C. Delgado, R. de los Reyes, B. De Lotto, E. Domingo-Santamaría, D. Dorner, M. Doro, M. Errando, M. Fagiolini, D. Ferenc, E. Fernández, R. Firpo, J. Flix, M. V. Fonseca, L. Font, M. Fuchs, N. Galante, R. J. García-López, M. Garczarczyk, M. Gaug, M. Giller, F. Goebel, D. Hakobyan, M. Hayashida, T. Hengstebeck, A. Herrero, D. Höhne, J. Hose, S. Huber, C. C. Hsu, P. Jacon, T. Jogler, R. Kosyra, D. Kranich, R. Kritzer, A. Laille, E. Lindfors, S. Lombardi, F. Longo, J. López, M. López, E. Lorenz, P. Majumdar, G. Maneva, K. Mannheim, M. Mariotti, M. Martínez, D. Mazin, C. Merck, M. Meucci, M. Meyer, J. M. Miranda, R. Mirzoyan, S. Mizobuchi, A. Moralejo, D. Nieto, K. Nilsson, J. Ninkovic, E. Oña-Wilhelmi, N. Otte, I. Oya, M. Panniello, R. Paoletti, J. M. Paredes, M. Pasanen, D. Pascoli, F. Pauss, R. Pegna

Research output: Contribution to journal › Article › Research › peer-review

185 Citations (Scopus)

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. © 2008.

Original language	English
Pages (from-to)	424-432
Journal	Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volume	588
Issue number	3
DOIs	https://doi.org/10.1016/j.nima.2007.11.068
Publication status	Published - 11 Apr 2008

Keywords

Classification
Decision tree
Discrimination

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10.1016/j.nima.2007.11.068

Cite this

Albert, J., Aliu, E., Anderhub, H., Antoranz, P., Armada, A., Asensio, M., Baixeras, C., Barrio, J. A., Bartko, H., Bastieri, D., Becker, J., Bednarek, W., Berger, K., Bigongiari, C., Biland, A., Bock, R. K., Bordas, P., Bosch-Ramon, V., Bretz, T., ... Pegna, R. (2008). Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 588(3), 424-432. https://doi.org/10.1016/j.nima.2007.11.068

@article{c128309eb4a34854818b50c45752921d,

title = "Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC",

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. {\textcopyright} 2008.",

keywords = "Classification, Decision tree, Discrimination",

author = "J. Albert and E. Aliu and H. Anderhub and P. Antoranz and A. Armada and M. Asensio and C. Baixeras and Barrio, {J. A.} and H. Bartko and D. Bastieri and J. Becker and W. Bednarek and K. Berger and C. Bigongiari and A. Biland and Bock, {R. K.} and P. Bordas and V. Bosch-Ramon and T. Bretz and I. Britvitch and M. Camara and E. Carmona and A. Chilingarian and S. Ciprini and Coarasa, {J. A.} and S. Commichau and Contreras, {J. L.} and J. Cortina and Costado, {M. T.} and V. Curtef and V. Danielyan and F. Dazzi and {De Angelis}, A. and C. Delgado and {de los Reyes}, R. and {De Lotto}, B. and E. Domingo-Santamar{\'i}a and D. Dorner and M. Doro and M. Errando and M. Fagiolini and D. Ferenc and E. Fern{\'a}ndez and R. Firpo and J. Flix and Fonseca, {M. V.} and L. Font and M. Fuchs and N. Galante and Garc{\'i}a-L{\'o}pez, {R. J.} and M. Garczarczyk and M. Gaug and M. Giller and F. Goebel and D. Hakobyan and M. Hayashida and T. Hengstebeck and A. Herrero and D. H{\"o}hne and J. Hose and S. Huber and Hsu, {C. C.} and P. Jacon and T. Jogler and R. Kosyra and D. Kranich and R. Kritzer and A. Laille and E. Lindfors and S. Lombardi and F. Longo and J. L{\'o}pez and M. L{\'o}pez and E. Lorenz and P. Majumdar and G. Maneva and K. Mannheim and M. Mariotti and M. Mart{\'i}nez and D. Mazin and C. Merck and M. Meucci and M. Meyer and Miranda, {J. M.} and R. Mirzoyan and S. Mizobuchi and A. Moralejo and D. Nieto and K. Nilsson and J. Ninkovic and E. O{\~n}a-Wilhelmi and N. Otte and I. Oya and M. Panniello and R. Paoletti and Paredes, {J. M.} and M. Pasanen and D. Pascoli and F. Pauss and R. Pegna",

year = "2008",

month = apr,

day = "11",

doi = "10.1016/j.nima.2007.11.068",

language = "English",

volume = "588",

pages = "424--432",

journal = "Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment",

issn = "0168-9002",

publisher = "Elsevier",

number = "3",

}

Albert, J, Aliu, E, Anderhub, H, Antoranz, P, Armada, A, Asensio, M, Baixeras, C, Barrio, JA, Bartko, H, Bastieri, D, Becker, J, Bednarek, W, Berger, K, Bigongiari, C, Biland, A, Bock, RK, Bordas, P, Bosch-Ramon, V, Bretz, T, Britvitch, I, Camara, M, Carmona, E, Chilingarian, A, Ciprini, S, Coarasa, JA, Commichau, S, Contreras, JL, Cortina, J, Costado, MT, Curtef, V, Danielyan, V, Dazzi, F, De Angelis, A, Delgado, C, de los Reyes, R, De Lotto, B, Domingo-Santamaría, E, Dorner, D, Doro, M, Errando, M, Fagiolini, M, Ferenc, D, Fernández, E, Firpo, R, Flix, J, Fonseca, MV, Font, L, Fuchs, M, Galante, N, García-López, RJ, Garczarczyk, M, Gaug, M, Giller, M, Goebel, F, Hakobyan, D, Hayashida, M, Hengstebeck, T, Herrero, A, Höhne, D, Hose, J, Huber, S, Hsu, CC, Jacon, P, Jogler, T, Kosyra, R, Kranich, D, Kritzer, R, Laille, A, Lindfors, E, Lombardi, S, Longo, F, López, J, López, M, Lorenz, E, Majumdar, P, Maneva, G, Mannheim, K, Mariotti, M, Martínez, M, Mazin, D, Merck, C, Meucci, M, Meyer, M, Miranda, JM, Mirzoyan, R, Mizobuchi, S, Moralejo, A, Nieto, D, Nilsson, K, Ninkovic, J, Oña-Wilhelmi, E, Otte, N, Oya, I, Panniello, M, Paoletti, R, Paredes, JM, Pasanen, M, Pascoli, D, Pauss, F & Pegna, R 2008, 'Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC', Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 588, no. 3, pp. 424-432. https://doi.org/10.1016/j.nima.2007.11.068

Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC. / Albert, J.; Aliu, E.; Anderhub, H. et al.
In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 588, No. 3, 11.04.2008, p. 424-432.

Research output: Contribution to journal › Article › Research › peer-review

TY - JOUR

T1 - Implementation of the Random Forest method for the Imaging Atmospheric Cherenkov Telescope MAGIC

AU - Albert, J.

AU - Aliu, E.

AU - Anderhub, H.

AU - Antoranz, P.

AU - Armada, A.

AU - Asensio, M.

AU - Baixeras, C.

AU - Barrio, J. A.

AU - Bartko, H.

AU - Bastieri, D.

AU - Becker, J.

AU - Bednarek, W.

AU - Berger, K.

AU - Bigongiari, C.

AU - Biland, A.

AU - Bock, R. K.

AU - Bordas, P.

AU - Bosch-Ramon, V.

AU - Bretz, T.

AU - Britvitch, I.

AU - Camara, M.

AU - Carmona, E.

AU - Chilingarian, A.

AU - Ciprini, S.

AU - Coarasa, J. A.

AU - Commichau, S.

AU - Contreras, J. L.

AU - Cortina, J.

AU - Costado, M. T.

AU - Curtef, V.

AU - Danielyan, V.

AU - Dazzi, F.

AU - De Angelis, A.

AU - Delgado, C.

AU - de los Reyes, R.

AU - De Lotto, B.

AU - Domingo-Santamaría, E.

AU - Dorner, D.

AU - Doro, M.

AU - Errando, M.

AU - Fagiolini, M.

AU - Ferenc, D.

AU - Fernández, E.

AU - Firpo, R.

AU - Flix, J.

AU - Fonseca, M. V.

AU - Font, L.

AU - Fuchs, M.

AU - Galante, N.

AU - García-López, R. J.

AU - Garczarczyk, M.

AU - Gaug, M.

AU - Giller, M.

AU - Goebel, F.

AU - Hakobyan, D.

AU - Hayashida, M.

AU - Hengstebeck, T.

AU - Herrero, A.

AU - Höhne, D.

AU - Hose, J.

AU - Huber, S.

AU - Hsu, C. C.

AU - Jacon, P.

AU - Jogler, T.

AU - Kosyra, R.

AU - Kranich, D.

AU - Kritzer, R.

AU - Laille, A.

AU - Lindfors, E.

AU - Lombardi, S.

AU - Longo, F.

AU - López, J.

AU - López, M.

AU - Lorenz, E.

AU - Majumdar, P.

AU - Maneva, G.

AU - Mannheim, K.

AU - Mariotti, M.

AU - Martínez, M.

AU - Mazin, D.

AU - Merck, C.

AU - Meucci, M.

AU - Meyer, M.

AU - Miranda, J. M.

AU - Mirzoyan, R.

AU - Mizobuchi, S.

AU - Moralejo, A.

AU - Nieto, D.

AU - Nilsson, K.

AU - Ninkovic, J.

AU - Oña-Wilhelmi, E.

AU - Otte, N.

AU - Oya, I.

AU - Panniello, M.

AU - Paoletti, R.

AU - Paredes, J. M.

AU - Pasanen, M.

AU - Pascoli, D.

AU - Pauss, F.

AU - Pegna, R.

PY - 2008/4/11

Y1 - 2008/4/11

N2 - 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. © 2008.

AB - 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. © 2008.

KW - Classification

KW - Decision tree

KW - Discrimination

U2 - 10.1016/j.nima.2007.11.068

DO - 10.1016/j.nima.2007.11.068

M3 - Article

SN - 0168-9002

VL - 588

SP - 424

EP - 432

JO - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

JF - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

IS - 3

ER -

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

Abstract

Keywords

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