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Title:Mass composition of ultrahigh-energy cosmic rays with the Telescope Array Surface Detector data
Authors:ID Abbasi, R.U. (Author)
ID Lundquist, Jon Paul, UNG (Author), et al.
Files: This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. Link is opened in a new window
Language:English
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Abstract:The results on ultrahigh-energy cosmic rays (UHECR) mass composition obtained with the Telescope Array surface detector are presented. The analysis employs the Boosted Decision tree (BDT) multivariate analysis built upon 14 observables related to both the properties of the shower front and the lateral distribution function. The multivariate classifier is trained with Monte-Carlo sets of events induced by the primary protons and iron. An average atomic mass of UHECR is presented for energies 10^18.0–10^20.0 eV. The average atomic mass of primary particles shows no significant energy dependence and corresponds to ⟨lnA⟩=2.0±0.1 (stat.)±0.44(syst.). The result is compared to the mass composition obtained by the Telescope Array with Xmax technique along with the results of other experiments. Possible systematic errors of the method are discussed.
Keywords:UHECR, Cosmic rays, composition
Publication version:Version of Record
Year of publishing:2019
Number of pages:11
Numbering:2, 99
PID:20.500.12556/RUNG-5148-834f2c11-0802-3546-702d-75f2ffb91248 New window
COBISS.SI-ID:12823043 New window
DOI:10.1103/PhysRevD.99.022002 New window
NUK URN:URN:SI:UNG:REP:OY3GVS8P
Publication date in RUNG:27.04.2020
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Record is a part of a journal

Title:Physical Review D
Year of publishing:2019

Licences

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.
Licensing start date:27.04.2020

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