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Št. zadetkov: 3
Objavljeni znanstveni prispevek na konferenci
Oznake: deep neural network;cosmic-rays;CTA;classification;
The upcoming Cherenkov Telescope Array (CTA) will dramatically improve the point-source sensitivity compared to the current Imaging Atmospheric Cherenkov Telescopes (IACTs). One of the key science projects of CTA will be a survey of the whole Galactic plane (GPS) using both southern and northern obs ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: astronomical databases;data analysis;statistics;image processing;
Aims: Traditional star-galaxy classification techniques often rely on feature estimation from catalogs, a process susceptible to introducing inaccuracies, thereby potentially jeopardizing the classification’s reliability. Certain galaxies, especially those not manifesting as extended sources, can be ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: dark matter;gamma rays;Cherenkov Telescope Array;i;
Abstract M31 and M33 are the closest spiral galaxies and the largest members (together with the Milky Way) of the Local group, which makes them interesting targets for indirect dark matter searches. In this paper we present studies of the expected sensitivity of the Cherenkov Tel ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Št. zadetkov: 3
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