RT Journal Article
T1 Principal components analysis of extensive air showers applied to the identification of cosmic TeV gamma-rays
A1 Faleiro, E.
A1 Gómez Gómez, José María
A1 Muñoz Muñoz, Laura
A1 Relaño Pérez, Armando
A1 Retamosa Granado, Joaquín
AB 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.
PB University Chicago Press
SN 0067-0049
YR 2004
FD 2004-11
LK https://hdl.handle.net/20.500.14352/51287
UL https://hdl.handle.net/20.500.14352/51287
LA eng
NO Faleiro E, Gómez J M G, Muñoz L, Relaño A and Retamosa J 2004 Principal Components Analysis of Extensive Air Showers Applied to the Identification of Cosmic TeV Gamma-Rays ApJS 155 167
NO © 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.
NO Gobierno de España
DS Docta Complutense
RD 17 abr 2025