Repozitorij Univerze v Novi Gorici

Iskanje po repozitoriju
A+ | A- | Pomoč | SLO | ENG

Iskalni niz: išči po
išči po
išči po
išči po
* po starem in bolonjskem študiju

Opcije:
  Ponastavi


41 - 50 / 192
Na začetekNa prejšnjo stran12345678910Na naslednjo stranNa konec
41.
42.
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, 2021, objavljeni povzetek znanstvenega prispevka na konferenci

Ključne besede: machine learning, gamma rays
Objavljeno v RUNG: 17.02.2022; Ogledov: 1516; Prenosov: 7
URL Povezava na celotno besedilo
Gradivo ima več datotek! Več...

43.
Fermi Large Area Telescope Performance after 10 Years of Operation
Gabrijela Zaharijas, 2021, izvirni znanstveni članek

Ključne besede: gamma-ray astrophysics
Objavljeno v RUNG: 16.02.2022; Ogledov: 1401; Prenosov: 0
Gradivo ima več datotek! Več...

44.
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, 2021, objavljeni znanstveni prispevek na konferenci

Opis: 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 detection, here we demonstrate the application of deep learning based algorithms to automatically detect and classify point sources, which can be applied directly to the binned Fermi-LAT data and potentially be generalised to other wavelengths. For the point source detection task, we use popular deep neural network structure U-NET, together with image segmentation, for precise localisation of sources, various clustering algorithms were tested on the segmented images. The training samples are based on the source properties of AGNs and PSRs from the latest Fermi-LAT source catalog, in addition to the background interstellar emission. Finally, we have created a more complex but robust training data generation exploiting full detector potential, increasing spatial resolution at the highest energies.
Ključne besede: gamma-rays, deep learning, computer vision
Objavljeno v RUNG: 01.10.2021; Ogledov: 1656; Prenosov: 42
URL Povezava na celotno besedilo
Gradivo ima več datotek! Več...

45.
Sensitivity of the Cherenkov Telescope Array for probing cosmology and fundamental physics with gamma-ray propagation
H. Abdalla, H. Abe, Fabio Acero, A. Acharyya, R. Adam, Christopher Eckner, Samo Stanič, Serguei Vorobiov, Gabrijela Zaharijas, Marko Zavrtanik, Danilo Zavrtanik, Miha Živec, 2021, izvirni znanstveni članek

Opis: The Cherenkov Telescope Array (CTA), the new-generation ground-based observatory for γ astronomy, provides unique capabilities to address significant open questions in astrophysics, cosmology, and fundamental physics. We study some of the salient areas of γ cosmology that can be explored as part of the Key Science Projects of CTA, through simulated observations of active galactic nuclei (AGN) and of their relativistic jets. Observations of AGN with CTA will enable a measurement of γ absorption on the extragalactic background light with a statistical uncertainty below 15% up to a redshift z=2 and to constrain or detect γ halos up to intergalactic-magnetic-field strengths of at least 0.3 pG . Extragalactic observations with CTA also show promising potential to probe physics beyond the Standard Model. The best limits on Lorentz invariance violation from γ astronomy will be improved by a factor of at least two to three. CTA will also probe the parameter space in which axion-like particles could constitute a significant fraction, if not all, of dark matter. We conclude on the synergies between CTA and other upcoming facilities that will foster the growth of γ cosmology.
Ključne besede: Cherenkov Telescope Array, active galactic nuclei, gamma-ray experiments, axions, extragalactic magnetic fields
Objavljeno v RUNG: 02.03.2021; Ogledov: 2294; Prenosov: 71
URL Povezava na celotno besedilo
Gradivo ima več datotek! Več...

46.
Studying dark matter annihilation in Perseus galaxy cluster using very-high-energy gamma rays : master's thesis
Nemanja Ivković, 2020, magistrsko delo

Ključne besede: dark matter, gamma-ray astrophysics
Objavljeno v RUNG: 01.03.2021; Ogledov: 2592; Prenosov: 0
Gradivo ima več datotek! Več...

47.
Study of axion-like particles signatures in the very-high-energy gamma-ray spectra of Active Galactic Nuclei : master's thesis
Ivana Batković, 2020, magistrsko delo

Ključne besede: axions, dark matter, gamma-ray astrophysics
Objavljeno v RUNG: 26.02.2021; Ogledov: 2609; Prenosov: 0
Gradivo ima več datotek! Več...

48.
49.
Skrivnosti prav posebnih zvezd, ki jim pravimo magnetarji
Tomaž Zwitter, Nina Manfreda, Gabrijela Zaharijas, 2021, radijska ali televizijska oddaja, podkast, intervju, novinarska konferenca

Ključne besede: gama žarki, astrofizika, nevronske zvezde
Objavljeno v RUNG: 26.02.2021; Ogledov: 2022; Prenosov: 10
URL Povezava na celotno besedilo
Gradivo ima več datotek! Več...

50.
High-energy emission from a magnetar giant flare in the Sculptor galaxy
Gabrijela Zaharijas, 2021, izvirni znanstveni članek

Ključne besede: magnetars, gamma-ray astronomy, transients
Objavljeno v RUNG: 14.01.2021; Ogledov: 2138; Prenosov: 0
Gradivo ima več datotek! Več...

Iskanje izvedeno v 0.07 sek.
Na vrh