Výsledky vyhledávání - "Kovacevic, Milos"

Report

Exploring X-ray variability with unsupervised machine learning I. Self-organizing maps applied to XMM-Newton data

Autor: Kovačević, Miloš, Pasquato, Mario, Marelli, Martino, De Luca, Andrea, Salvaterra, Ruben, Mondoni, Andrea Belfiore

Publikováno v: A&A 659, A66 (2022)

XMM-Newton provides unprecedented insight into the X-ray Universe, recording variability information for hundreds of thousands of sources. Manually searching for interesting patterns in light curves is impractical, requiring an automated data-mining

Externí odkaz: http://arxiv.org/abs/2202.08868

Zobrazit plný text záznamu

Report

Classification of Blazar Candidates of Uncertain Type from the Fermi LAT 8-Year Source Catalog with an Artificial Neural Network

Autor: Kovačević, Miloš, Chiaro, Graziano, Cutini, Sara, Tosti, Gino

Publikováno v: MNRAS, 493 (2020) 1926-1935

The Fermi Large Area Telescope (LAT) has detected more than 5000 gamma-ray sources in its first 8 years of operation. More than 3000 of them are blazars. About 60 per cent of the Fermi-LAT blazars are classified as BL Lacertae objects (BL Lacs) or Fl

Externí odkaz: http://arxiv.org/abs/2002.10256

Zobrazit plný text záznamu

Report

Optimizing neural network techniques in classifying Fermi-LAT gamma-ray sources

Autor: Kovačević, Miloš, Chiaro, Graziano, Cutini, Sara, Tosti, Gino

Publikováno v: MNRAS, 490 (2019) 4770-4777

Machine learning is an automatic technique that is revolutionizing scientific research, with innovative applications and wide use in astrophysics. The aim of this study was to developed an optimized version of an Artificial Neural Network machine lea

Externí odkaz: http://arxiv.org/abs/1911.02948

Zobrazit plný text záznamu