R. U. Abbasi (Author), Mitsuhiro Abe (Author), T. Abu-Zayyad (Author), M. Allen (Author), R. Azuma (Author), E. Barcikowski (Author), J. W. Belz (Author), D. R. Bergman (Author), S. A. Blake (Author), J. P. Lundquist (Author)

Abstract

The Telescope Array (TA) experiment is located in the western desert of Utah, USA, and observes ultra high energy cosmic rays (UHECRs) in the Northern hemisphere. At the highest energies, E>10~EeV, the shape of cosmic ray energy spectrum may carry an imprint of the source density distribution along the line of sight different in different directions of the sky. In this study, we search for such directional variations in the shape of the energy spectrum using events observed with the Telescope Array's surface detector. We divide the TA field of view into two nearly equal-exposure regions: the "on-source" region which we define as ±30∘ of the supergalactic plane containing mostly nearby structures, and the complementary "off-source" region where the sources are further away on average. We compare the UHECR spectra in these regions by fitting them to the broken power law and comparing the resulting parameters. We find that the off-source spectrum has an earlier break at highest energies. The chance probability to obtain such or larger difference in statistically equivalent distributions is estimated as 6.2±1.1×10−4 (3.2σ) by a Monte-Carlo simulation. The observed difference in spectra is in a reasonable quantitative agreement with a simplified model that assumes that the UHECR sources trace the galaxy distribution from the 2MRS catalogue, primary particles are protons and the magnetic deflections can be neglected.

Keywords

cosmic radiation;UHE;detectors;anisotropy;

Data

Language: English
Year of publishing:
Typology: 1.25 - Other Component Parts
Organization: UNG - University of Nova Gorica
UDC: 524
COBISS: 12841219 Link will open in a new window
ISSN: 2331-8422
Views: 2142
Downloads: 84
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Other data

URN: URN:SI:UNG
Type (COBISS): Not categorized
Pages: str. 1-17
Chronology: Aug. 2017
ID: 11591945
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