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Št. zadetkov: 8
Investigating the VHE gamma-ray sources using deep neural networks
Veronika Vodeb, Saptashwa Bhattacharyya, G. Principe, Gabrijela Zaharijas, R. Austri, F. Stoppa, S. Caron, D. Malyshev
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)
Finding (or not) dark matter in gamma-ray images of the Galactic center with computer vision
Gudlaugur Johannesson, Gabrijela Zaharijas, Sascha Caron, Christopher Eckner, Luc Hendriks, Roberto Ruiz de Austri
Objavljeni povzetek znanstvenega prispevka na konferenci
Oznake: machine learning;gamma rays;
Finding (or not) dark matter in gamma-ray images of the Galactic center with computer vision
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Mind the gap
Sascha Caron, Christopher Eckner, Luc Hendriks, Gudlaugur Johannesson, Roberto Ruiz de Austri, Gabrijela Zaharijas
Izvirni znanstveni članek
Oznake: gamma-ray astrophysics;dark matter;Galactic center;
Mind the gap
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
AutoSourceID-Classifier
F. Stoppa, Saptashwa Bhattacharyya, R. Ruiz de Austri, P. Vreeswijk, S. Caron, Gabrijela Zaharijas, S. Bloemen, G. Principe, D. Malyshev, Veronika Vodeb
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)
Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge
Boris Panes, Christopher Eckner, Luc Hendriks, Sascha Caron, Klaas Dijkstra, Gudlaugur Johannesson, Roberto Ruiz de Austri, Gabrijela Zaharijas
Izvirni znanstveni članek
Oznake: gamma rays;astroparticle physics;data analysis;
Identification of point sources in gamma rays using U-shaped convolutional neural networks and a data challenge
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Localisation and classification of gamma ray sources using neural networks
Chris van den Oetelaar, Saptashwa Bhattacharyya, Boris Panes, Sascha Caron, Gabrijela Zaharijas, Roberto Ruiz de Austri, Guõlaugur Jóhannesson
Objavljeni znanstveni prispevek na konferenci
Oznake: gamma-rays;deep learning;computer vision;
With limited statistics and spatial resolution of current detectors, accurately localising and separating gamma-ray point sources from the dominating interstellar emission in the GeV energy range is challenging. Motivated by the challenges of the traditional methods used for the gamma-ray source det ...
Leto: 2022 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
AutoSourceID-FeatureExtractor
F. Stoppa, R. Ruiz de Austri, P. Vreeswijk, Saptashwa Bhattacharyya, S. Caron, S. Bloemen, Gabrijela Zaharijas, G. Principe, Veronika Vodeb, P. J. Groot, E. Cator, G. Nelemans
Izvirni znanstveni članek
Oznake: data analysis;image processing;astronomical databases;
Aims: In astronomy, machine learning has been successful in various tasks such as source localisation, classification, anomaly detection, and segmentation. However, feature regression remains an area with room for improvement. We aim to design a network that can accurately estimate sources' features ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
AutoSourceID-Light
F. Stoppa, P. Vreeswijk, S. Bloemen, Saptashwa Bhattacharyya, S. Caron, Gudlaugur Johannesson, Roberto Ruiz de Austri, Chris van den Oetelaar, Gabrijela Zaharijas, P. J. Groot
Izvirni znanstveni članek
Oznake: astronomical databases;data analysis;image processing;
Aims: With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable source localization is paramount. We present AutoSourceID-Light (ASID-L), an innovative framework that uses computer vision techniq ...
Leto: 2022 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Št. zadetkov: 8
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