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Extended clustering analyses to constrain the deflection angular scale and source density of the ultra-high-energy cosmic rays

Authors :
Etienne Parizot
Nicolás G. Busca
G. Decerprit
Deutsches Elektronen-Synchrotron [Zeuthen] (DESY)
Helmholtz-Gemeinschaft = Helmholtz Association
AstroParticule et Cosmologie (APC (UMR_7164))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Observatoire de Paris
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)
Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris
PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)
Helmholtz-Gemeinschaft
APC - Cosmologie
Physique Corpusculaire et Cosmologie - Collège de France (PCC)
Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Collège de France (CdF)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-AstroParticule et Cosmologie (APC (UMR_7164))
PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris
APC - Astrophysique des Hautes Energies (APC - AHE)
PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris
PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Dipartimento di Astronomia, Universita degli Studi di Bologna
Università di Bologna [Bologna] (UNIBO)-Università di Bologna [Bologna] (UNIBO)
Source :
Astronomy and Astrophysics-A&A, Astronomy and Astrophysics-A&A, 2012, 538, pp.A16. ⟨10.1051/0004-6361/201118279⟩, Astronomy and Astrophysics-A&A, EDP Sciences, 2012, 538, pp.A16. ⟨10.1051/0004-6361/201118279⟩, arXiv E-Print (only) (2011).
Publication Year :
2012
Publisher :
HAL CCSD, 2012.

Abstract

The search of a clustering signal in the arrival directions of ultra-high-energy cosmic rays (UHECRs) is a standard method to assess the level of anisotropy of the data sets under investigation. Here, we first show how to quantify the sensitivity of a UHECR detector to the detection of anisotropy, and then propose a new method that pushes forward the study of the two-point auto-correlation function, enabling one to put astrophysically meaningful constraints on both the effective UHECR source density and the angular deflections that these charged particles suffer while they propagate through the galactic and intergalactic magnetic fields. We apply the method to simulated data sets obtained under various astrophysical conditions, and show how the input model parameters can be estimated through our analysis, introducing the notion of "clustering similarity" (between data sets), to which we give a precise statistical meaning. We also study how the constraining power of the method is influenced by the size of the data set under investigation, the minimum energy of the UHECRs to which it is applied, and a prior assumption about the underlying source distribution. We also show that this method is particularly adapted to data sets consisting of a few tens to a few hundreds of events, which corresponds to the current and near-future observational situation in the field of UHECRs.<br />12 pages, 10 figures, accepted for publication in Astronomy & Astrophysics

Details

Language :
English
ISSN :
00046361
Database :
OpenAIRE
Journal :
Astronomy and Astrophysics-A&A, Astronomy and Astrophysics-A&A, 2012, 538, pp.A16. ⟨10.1051/0004-6361/201118279⟩, Astronomy and Astrophysics-A&A, EDP Sciences, 2012, 538, pp.A16. ⟨10.1051/0004-6361/201118279⟩, arXiv E-Print (only) (2011).
Accession number :
edsair.doi.dedup.....ac4cd978c5865b0310c888d8316f90b9
Full Text :
https://doi.org/10.1051/0004-6361/201118279⟩