Naslov: | Sensitivity of the Cherenkov Telescope Array to the gamma-ray emission from neutrino sources detected by IceCube |
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Avtorji: | ID Sergijenko, Olga (Avtor) ID Bhattacharyya, Saptashwa (Avtor) ID Pérez Romero, Judit (Avtor) ID Stanič, Samo (Avtor) ID Vodeb, Veronika (Avtor) ID Vorobiov, Serguei (Avtor) ID Zavrtanik, Danilo (Avtor) ID Zavrtanik, Marko (Avtor) ID Živec, Miha (Avtor), et al. |
Datoteke: | ICRC2023_1531.pdf (1,08 MB) MD5: 89B8B488CFF2CF8C76F1B6D7200252B6
https://pos.sissa.it/444
https://pos.sissa.it/444/1531/pdf
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Jezik: | Angleški jezik |
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Vrsta gradiva: | Neznano |
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Tipologija: | 1.08 - Objavljeni znanstveni prispevek na konferenci |
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Organizacija: | UNG - Univerza v Novi Gorici
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Opis: | Gamma-ray observations of the astrophysical neutrino sources are fundamentally important for understanding the underlying neutrino production mechanism. We investigate the Cherenkov Telescope Array (CTA) ability to detect the very-high-energy (VHE) gamma-ray counterparts to the neutrino-emitting Active Galaxies. The CTA performance under different configurations and array layouts is computed based on the neutrino and gamma-ray simulations of steady and transient types of sources, assuming that the neutrino events are detected with the IceCube neutrino telescope. The CTA detection probability is calculated for both CTA sites taking into account the visibility constraints. We find that, under optimal observing conditions, CTA could observe the VHE gamma-ray emission from at least 3 neutrino events per year. |
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Ključne besede: | Cherenkov Telescope Array, IceCube neutrino telescope, neutrinos, neutrino sources |
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Status publikacije: | Objavljeno |
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Verzija publikacije: | Objavljena publikacija |
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Datum objave: | 01.01.2023 |
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Leto izida: | 2023 |
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Št. strani: | str. [1-16] |
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PID: | 20.500.12556/RUNG-8462-2c31cbe2-b777-f320-e7e9-110091b3ac47 |
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COBISS.SI-ID: | 165857027 |
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UDK: | 539.1 |
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ISSN pri članku: | 1824-8039 |
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NUK URN: | URN:SI:UNG:REP:DEBLEGSP |
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Datum objave v RUNG: | 26.09.2023 |
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Število ogledov: | 2132 |
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Število prenosov: | 8 |
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