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Naslov:Mass composition anisotropy with the Telescope Array Surface Detector data
Avtorji:ID Zhezher, Y. (Avtor)
ID Lundquist, Jon Paul (Avtor), et al.
Datoteke:.pdf ICRC2021_299.pdf (1,14 MB)
MD5: 0E101608760E103960110EA18E240713
 
URL https://pos.sissa.it/395/299/
 
URL https://pos.sissa.it/395/299/pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano
Tipologija:1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija:UNG - Univerza v Novi Gorici
Opis:Mass composition anisotropy is predicted by a number of theories describing sources of ultra-high-energy cosmic rays. Event-by-event determination of a type of a primary cosmic-ray particle is impossible due to large shower-to-shower fluctuations, and the mass composition usually is obtained by averaging over some composition-sensitive observable determined independently for each extensive air shower (EAS) over a large number of events. In the present study we propose to employ the observable ξ used in the TA mass composition analysis for the mass composition anisotropy analysis. The ξ variable is determined with the use of Boosted Decision Trees (BDT) technique trained with the Monte-Carlo sets, and the ξ value is assigned for each event, where ξ=1 corresponds to an event initiated by the primary iron nuclei and ξ=−1 corresponds to a proton event. Use of ξ distributions obtained for the Monte-Carlo sets allows us to separate proton and iron candidate events from a data set with some given accuracy and study its distributions over the observed part of the sky. Results for the TA SD 11-year data set mass composition anisotropy will be presented.
Ključne besede:Telescope Array, indirect detection, surface detection, ground array, ultra-high energy, cosmic rays, composition, anisotropy, machine learning, boosted decision tree
Status publikacije:Objavljeno
Leto izida:2022
PID:20.500.12556/RUNG-8525 Novo okno
COBISS.SI-ID:166984451 Novo okno
DOI:10.22323/1.395.0299 Novo okno
NUK URN:URN:SI:UNG:REP:AQHSIAFL
Datum objave v RUNG:04.10.2023
Število ogledov:1978
Število prenosov:7
Metapodatki:XML DC-XML DC-RDF
:
ZHEZHER, Y. in LUNDQUIST, Jon Paul, 2022, Mass composition anisotropy with the Telescope Array Surface Detector data. V : 37th International Cosmic Ray Conference [na spletu]. Objavljeni znanstveni prispevek na konferenci. Trieste, Italy. 2022. [Dostopano 11 april 2025]. Pridobljeno s: https://repozitorij.ung.si/IzpisGradiva.php?lang=slv&id=8525
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Gradivo je del monografije

Naslov:37th International Cosmic Ray Conference : ICRC2023
Kraj izida:Trieste, Italy
Založnik:Proceedings of Science
Leto izida:2022

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Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
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