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Testing the isotropy of high energy cosmic rays using spherical needlets

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Academic paper
1

Academic Paper attributes

arXiv ID
1107.56581
arXiv Classification
Statistics
Statistics
1
Publication URL
arxiv.org/pdf/1107.56581
Publisher
ArXiv
ArXiv
1
DOI
doi.org/10.48550/ar...07.56581
Paid/Free
Free1
Academic Discipline
Physics
Physics
1
Statistics
Statistics
1
‌
High-energy astronomy
1
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Astrophysics
1
Submission Date
December 6, 2013
1
June 23, 2012
1
July 28, 2011
1
Author Names
Dominique Picard1
Jacques Delabrouille1
Gérard Kerkyacharian1
Gilles Faÿ1
Paper abstract

For many decades, ultrahigh energy charged particles of unknown origin that can be observed from the ground have been a puzzle for particle physicists and astrophysicists. As an attempt to discriminate among several possible production scenarios, astrophysicists try to test the statistical isotropy of the directions of arrival of these cosmic rays. At the highest energies, they are supposed to point toward their sources with good accuracy. However, the observations are so rare that testing the distribution of such samples of directional data on the sphere is nontrivial. In this paper, we choose a nonparametric framework that makes weak hypotheses on the alternative distributions and allows in turn to detect various and possibly unexpected forms of anisotropy. We explore two particular procedures. Both are derived from fitting the empirical distribution with wavelet expansions of densities. We use the wavelet frame introduced by [SIAM J. Math. Anal. 38 (2006b) 574-594 (electronic)], the so-called needlets. The expansions are truncated at scale indices no larger than some Jstar, and the Lp distances between those estimates and the null density are computed. One family of tests (called Multiple) is based on the idea of testing the distance from the null for each choice of J=1,ldots,Jstar, whereas the so-called PlugIn approach is based on the single full Jstar expansion, but with thresholded wavelet coefficients. We describe the practical implementation of these two procedures and compare them to other methods in the literature. As alternatives to isotropy, we consider both very simple toy models and more realistic nonisotropic models based on Physics-inspired simulations. The Monte Carlo study shows good performance of the Multiple test, even at moderate sample size, for a wide sample of alternative hypotheses and for different choices of the parameter Jstar. On the 69 most energetic events published by the Pierre Auger Collaboration, the needlet-based procedures suggest statistical evidence for anisotropy. Using several values for the parameters of the methods, our procedures yield p-values below 1%, but with uncontrolled multiplicity issues. The flexibility of this method and the possibility to modify it to take into account a large variety of extensions of the problem make it an interesting option for future investigation of the origin of ultrahigh energy cosmic rays.

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