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Št. zadetkov: 7
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)
Izvirni znanstveni članek
Oznake: gamma-ray astrophysics;dark matter;Galactic center;
Mind the gap
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
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)
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)
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)
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: 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)
Št. zadetkov: 7
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