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Naslov:Cosmic-ray mass composition with the TA SD 12-year data
Avtorji:ID Zhezher, Y. (Avtor)
ID Lundquist, Jon Paul (Avtor), et al.
Datoteke:.pdf ICRC2021_300.pdf (763,42 KB)
MD5: 7DED39EF962FEB8DE05F4B525F1AD43A
 
URL https://pos.sissa.it/395/300/
 
URL https://pos.sissa.it/395/300/pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano
Tipologija:1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija:UNG - Univerza v Novi Gorici
Opis:Telescope Array (TA) is the largest ultra-high-energy cosmic-ray (UHECR) observatory in the Northern Hemisphere. It is dedicated to detect extensive air showers (EAS) in hybrid mode, both by measuring the shower’s longitudinal profile with fluorescence telescopes and their particle footprint on the ground from the surface detector (SD) array. While fluorescence telescopes can measure the most composition-sensitive characteristic of EAS, the depth of the shower maximum (\xmax), they also have the drawback of small duty cycle. This work aims to study the UHECR composition based solely on the surface detector data. For this task, a set of composition-sensitive observables obtained from the SD data is used in a machine-learning method -- the Boosted Decision Trees. We will present the results of the UHECR mass composition based on the 12-year data from the TA SD using this technique, and we will discuss of the possible systematics imposed by the hadronic interaction models.
Ključne besede:Telescope Array, indirect detection, surface detection, ground array, ultra-high energy, cosmic rays, composition, machine learning, boosted decision tree
Status publikacije:Objavljeno
Leto izida:2022
PID:20.500.12556/RUNG-8524 Novo okno
COBISS.SI-ID:166982403 Novo okno
DOI:10.22323/1.395.0300 Novo okno
NUK URN:URN:SI:UNG:REP:3GZOQRYB
Datum objave v RUNG:04.10.2023
Število ogledov:1433
Število prenosov:8
Metapodatki:XML DC-XML DC-RDF
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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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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