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Investigating the VHE gamma-ray sources using deep neural networksVeronika Vodeb,
Saptashwa Bhattacharyya,
G. Principe,
Gabrijela Zaharijas,
R. Austri,
F. Stoppa,
S. Caron,
Denys Malyshev, 2023, objavljeni znanstveni prispevek na konferenci
Opis: 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 observatories, specifically focusing on the inner galactic region. We extend a deep learning-based image segmentation software pipeline (autosource-id) developed on Fermi-LAT data to detect and classify extended sources for the simulated CTA GPS. Using updated instrument response functions for CTA (Prod5), we test this pipeline on simulated gamma-ray sources lying in the inner galactic region (specifically 0∘Ključne besede: deep neural network, cosmic-rays, CTA, classification
Objavljeno v RUNG: 31.08.2023; Ogledov: 3226; Prenosov: 7
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