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Naslov:Performance of a proposed event-type based analysis for the Cherenkov Telescope Array
Avtorji:ID Hassan, Tarek (Avtor)
ID Bhattacharyya, Saptashwa (Avtor)
ID MARČUN, Barbara (Avtor)
ID Pérez Romero, Judit (Avtor)
ID Stanič, Samo (Avtor)
ID Vodeb, Veronika (Avtor)
ID Vorobiov, Serguei (Avtor)
ID Zaharijas, Gabrijela (Avtor)
ID Zavrtanik, Marko (Avtor)
ID Zavrtanik, Danilo (Avtor)
ID Živec, Miha (Avtor), et al.
Datoteke:.pdf ICRC2021_752.pdf (1,03 MB)
MD5: 8ACA58E64AECA6868CF844946DDDDA3D
 
URL https://pos.sissa.it/395/
 
URL https://pos.sissa.it/395/752/pdf
 
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano
Tipologija:1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija:UNG - Univerza v Novi Gorici
Opis:The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. Classically, data analysis in the field maximizes sensitivity by applying quality cuts on the data acquired. These cuts, optimized using Monte Carlo simulations, select higher quality events from the initial dataset. Subsequent steps of the analysis typically use the surviving events to calculate one set of instrument response functions (IRFs). An alternative approach is the use of event types, as implemented in experiments such as the Fermi-LAT. In this approach, events are divided into sub-samples based on their reconstruction quality, and a set of IRFs is calculated for each sub-sample. The sub-samples are then combined in a joint analysis, treating them as independent observations. This leads to an improvement in performance parameters such as sensitivity, angular and energy resolution. Data loss is reduced since lower quality events are included in the analysis as well, rather than discarded. In this study, machine learning methods will be used to classify events according to their expected angular reconstruction quality. We will report the impact on CTA high-level performance when applying such an event-type classification, compared to the classical procedure.
Ključne besede:Cherenkov Telescope Array, very-high-energy gamma-rays, event-type based analysis
Status publikacije:Objavljeno
Leto izida:2021
PID:20.500.12556/RUNG-8427 Novo okno
COBISS.SI-ID:164822019 Novo okno
NUK URN:URN:SI:UNG:REP:CEMWQ7GD
Datum objave v RUNG:18.09.2023
Število ogledov:1938
Število prenosov:9
Metapodatki:XML DC-XML DC-RDF
:
HASSAN, Tarek, BHATTACHARYYA, Saptashwa, MARČUN, Barbara, PÉREZ ROMERO, Judit, STANIČ, Samo, VODEB, Veronika, VOROBIOV, Serguei, ZAHARIJAS, Gabrijela, ZAVRTANIK, Marko, ZAVRTANIK, Danilo in ŽIVEC, Miha, 2021, Performance of a proposed event-type based analysis for the Cherenkov Telescope Array. V : 37th International Cosmic Ray Conference [na spletu]. Objavljeni znanstveni prispevek na konferenci. Trst, Italija. 2021. [Dostopano 4 april 2025]. Pridobljeno s: https://repozitorij.ung.si/IzpisGradiva.php?lang=slv&id=8427
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Gradivo je del monografije

Naslov:37th International Cosmic Ray Conference : ICRC2021
Kraj izida:Trst, Italija
Leto izida:2021

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P1-0031
Naslov:Večglasniška astrofizika

Licence

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
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

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