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Title:UHECR mass composition from anisotropy of their arrival directions with the Telescope Array SD
Authors:ID Kuznetsov, M. (Author)
ID Lundquist, Jon Paul (Author), et al.
Files:.pdf ICRC2021_294.pdf (3,02 MB)
MD5: 5592BF706E639D5EB4068686AD693AA3
 
URL https://pos.sissa.it/395/294/
 
URL https://pos.sissa.it/395/294/pdf
 
Language:English
Work type:Not categorized
Typology:1.08 - Published Scientific Conference Contribution
Organization:UNG - University of Nova Gorica
Abstract:We propose a new method for the estimation of ultra-high energy cosmic ray (UHECR) mass composition from a distribution of their arrival directions. The method employs a test statistic (TS) based on a characteristic deflection of UHECR events with respect to the distribution of luminous matter in the local Universe modeled with a flux-weighed 2MRS catalog. Making realistic simulations of the mock UHECR sets, we show that this TS is robust to the presence of galactic and non-extreme extra-galactic magnetic fields and sensitive to the mass composition of events in a set. We apply the method to Telescope Array surface detector data for 11 years and derive new independent constraints on fraction of protons and iron in p-Fe mix at E>10 EeV. At 10<E<100 EeV the data favors increase of allowed proton fraction and decrease of allowed iron fraction, while at E>100 EeV --- pure iron or even more massive composition. This result is in tension with Auger composition model inferred from spectrum-Xmax fit at 2.7σ (2.0σ) for PT'11 (JF'12) regular GMF model.
Keywords:Telescope Array, indirect detection, surface detection, ground array, ultra-high energy, cosmic rays, composition, anisotropy, magnetic fields, 2MRS
Publication status:Published
Year of publishing:2022
PID:20.500.12556/RUNG-8528 New window
COBISS.SI-ID:167012611 New window
DOI:10.22323/1.395.0294 New window
NUK URN:URN:SI:UNG:REP:9OMT9ESH
Publication date in RUNG:04.10.2023
Views:622
Downloads:5
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Record is a part of a monograph

Title:37th International Cosmic Ray Conference : ICRC2023
Place of publishing:Trieste, Italy
Publisher:Proceedings of Science
Year of publishing:2022

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License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

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