Repozitorij Univerze v Novi Gorici

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Naslov:AutoSourceID-Light : Fast optical source localization via U-Net and Laplacian of Gaussian
Avtorji:ID Stoppa, F. (Avtor)
ID Vreeswijk, P. (Avtor)
ID Bloemen, S. (Avtor)
ID Bhattacharyya, Saptashwa, University of Nova Gorica (Avtor)
ID Caron, S (Avtor)
ID Jóhannesson, G. (Avtor)
ID Ruiz de Austri, R. (Avtor)
ID Van den Oetelaar, C. (Avtor)
ID Zaharijas, Gabrijela, University of Nova Gorica (Avtor)
ID Groot, P.J. (Avtor)
ID Cator, E. (Avtor)
ID Nelemans, G. (Avtor)
Datoteke: Gradivo nima datotek, ki so prostodostopne za javnost. Gradivo je morda fizično dosegljivo v knjižnici fakultete, zalogo lahko preverite v COBISS-u. Povezava se odpre v novem oknu
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:UNG - Univerza v Novi Gorici
Opis: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 techniques that can naturally deal with large amounts of data and rapidly localize sources in optical images. Methods: We show that the ASID-L algorithm based on U-shaped networks and enhanced with a Laplacian of Gaussian filter provides outstanding performance in the localization of sources. A U-Net network discerns the sources in the images from many different artifacts and passes the result to a Laplacian of Gaussian filter that then estimates the exact location. Results: Using ASID-L on the optical images of the MeerLICHT telescope demonstrates the great speed and localization power of the method. We compare the results with SExtractor and show that our method outperforms this more widely used method rapidly detects more sources not only in low and mid-density fields, but particularly in areas with more than 150 sources per square arcminute. The training set and code used in this paper are publicly available.
Ključne besede:astronomical databases, data analysis, image processing
Leto izida:2022
Št. strani:8
Številčenje:A109, 662
PID:20.500.12556/RUNG-7891 Novo okno
COBISS.SI-ID:139051267 Novo okno
DOI:https://doi.org/10.1051/0004-6361/202243250 Novo okno
NUK URN:URN:SI:UNG:REP:G9JZPD1X
Datum objave v RUNG:23.01.2023
Število ogledov:1488
Število prenosov:0
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Gradivo je del revije

Naslov:Astronomy & Astrophysics
Skrajšan naslov:A&A
Leto izida:2022
ISSN:0004-6361

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Začetek licenciranja:23.01.2023

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