Iskalni niz:
išči po
išči po
išči po
išči po
Vrsta gradiva:
Jezik:
Št. zadetkov: 8
Določanje zvezdnih razdalj s podatki misije Gaia
Amalija Rafaj Škriljevečki, Andreja Gomboc, Oleksandra Razim
Objavljeni povzetek znanstvenega prispevka na konferenci
Oznake: astrofizika;zvezde;Gaia;
Leto: 2025 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
TDE candidates from POTICA
E. Concepcion, Saptashwa Bhattacharyya, Andreja Gomboc, T. Petrushevska, Oleksandra Razim, Gabriella Contardo, E. Umuzigazuba
Drugi članki ali sestavki
Oznake: astronomy;POTICA classifier;tidal disruption events;
Leto: 2025 Vir: Univerza v Novi Gorici (UNG)
TDE candidates from POTICA
E. Concepcion, Saptashwa Bhattacharyya, Andreja Gomboc, T. Petrushevska, Oleksandra Razim, Gabriella Contardo, E. Umuzigazuba
Drugi članki ali sestavki
Oznake: astronomy;POTICA classifier;tidal disruption events;
Leto: 2026 Vir: Univerza v Novi Gorici (UNG)
TDE candidates from POTICA
E. Concepcion, Saptashwa Bhattacharyya, Andreja Gomboc, T. Petrushevska, Oleksandra Razim, Gabriella Contardo, E. Umuzigazuba
Drugi članki ali sestavki
Oznake: astronomy;POTICA classifier;tidal disruption events;
Leto: 2026 Vir: Univerza v Novi Gorici (UNG)
Photometric redshifts with machine learning, lights and shadows on a complex data science use case
Massimo Brescia, Stefano Cavuoti, Oleksandra Razim, Valeria Amaro, Giuseppe Riccio, Giuseppe Longo
Pregledni znanstveni članek
Oznake: astrophysics;instrumentation;methods;machine learning;photometric redshifts;
The importance of the current role of data-driven science is constantly increasing within Astrophysics, due to the huge amount of multi-wavelength data collected every day, characterized by complex and high-volume information requiring efficient and, as much as possible, automated exploration tools. ...
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Improving the reliability of photometric redshift with machine learning
Oleksandra Razim, Stefano Cavuoti, Massimo Brescia, Giuseppe Riccio, Mara Salvato, Giuseppe Longo
Izvirni znanstveni članek
Oznake: astronomy;machine learning;photometric redshifts;
In order to answer the open questions of modern cosmology and galaxy evolution theory, robust algorithms for calculating photometric redshifts (photo-z) for very large samples of galaxies are needed. Correct estimation of the various photo-z algorithms’ performance requires attention to both the per ...
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
PhotoD with LSST
Lovro Palaversa, Željko Ivezić, Neven Caplar, Karlo Mrakovčić, Bob Abel, Oleksandra Razim, Filip Matković, Connor Yablonski, Toni Šarić, Tomislav Jurkić
Izvirni znanstveni članek
Oznake: astronomy;stellar distances;Bayesian methods;
As demonstrated with the Sloan Digital Sky Survey (SDSS), Pan-STARRS, and most recently with Gaia data, broadband near-UV to near-IR stellar photometry can be used to estimate distance, metallicity, and interstellar dust extinction along the line of sight for stars in the Galaxy. Anticipating photom ...
Leto: 2025 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Time evolution of Mg II in SDSS J2320+0024
Marta Fatović, Dragana Ilić, Andjelka B. Kovačević, Lovro Palaversa, Saša Simić, Luka Č. Popović, Karun Thanjavur, Oleksandra Razim, Željko Ivezić, Minghao Yue
Izvirni znanstveni članek
Oznake: astronomy;AGN;supermassive black holes;
Context. We present results from our spectroscopic follow-up of SDSS J2320+0024, a candidate binary supermassive black hole (SMBH) with a suspected subparsec separation, identified by a 278-day periodicity observed in its multiband optical light curves. Such systems serve as a crucial link between b ...
Leto: 2025 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Št. zadetkov: 8
Ključne besede:
Leto izdaje:
Avtorji:
Repozitorij:
Tipologija:
Jezik: