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Principal components analysis of extensive air showers applied to the identification of cosmic TeV gamma-rays

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Faleiro, E. y Gómez Gómez, José María y Muñoz, L. y Relaño Pérez, Armando y Retamosa Granado, Joaquín (2004) Principal components analysis of extensive air showers applied to the identification of cosmic TeV gamma-rays. Astrophysical journal supplement series, 155 (1). pp. 167-173. ISSN 0067-0049

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URL Oficial: http://dx.doi.org/10.1086/423788


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http://iopscience.iop.org/Editorial


Resumen

We apply a principal components analysis (PCA) to the secondary particle density distributions at ground level produced by cosmic gamma-rays and protons. For this purpose, high-energy interactions of cosmic rays with Earth's atmosphere and the resulting extensive air showers have been simulated by means of the CORSIKA Monte Carlo code. We show that a PCA of the two-dimensional particle density fluctuations provides a decreasing sequence of covariance matrix eigenvalues that have typical features of a polynomial law, which are different for different primary cosmic rays. This property is applied to the separation of electromagnetic showers from proton simulated extensive air showers, and it is proposed as a new discrimination method that can be used experimentally for gamma-proton separation. A cutting parameter related to the polynomial behavior of the decreasing sequence of covariance matrix eigenvalues is calculated, and the efficiency of the cutting procedure for gamma-proton separation is evaluated.


Tipo de documento:Artículo
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© 2004. The American Astronomical Society. All rights reserved. This work is supported in part by Spanish Government grants for the research projects BFM2003-04147-C02 and FTN2003-08337-C04-04.

Palabras clave:Point sources; Fluctuations; Radiation; Spectra; Search; Noise
Materias:Ciencias > Física > Termodinámica
Código ID:27787
Depositado:18 Dic 2014 11:53
Última Modificación:27 Feb 2015 09:26

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