15 citations · 66 across the 10 of their papers we have counts for
10 papers
Exploring the nature of Galactic unassociated sources detected by the Fermi-LAT
F. Acero, A. Acharyya, A. Adelfio +120
We investigate the nature of the unassociated sources detected by the Fermi-LAT close (|b|<10°) to the Galactic plane, representing 16% of all sources in the 4FGL-DR4 catalog. The…
Supermassive black holes and their surroundings: MeV signatures
Tullia Sbarrato, Marco Ajello, Sara Buson +5
The gravitational potential of supermassive black holes is so powerful that it triggers some of the most intense phenomena in the Universe. Accretion onto these objects and relativ…
A Systematic Search for MeV-GeV Pulsar Wind Nebulae without Gamma-ray Detected Pulsars
Jordan Eagle, Daniel Castro, Wei Zhang +3
An increasing number of pulsar wind nebulae (PWNe) are being identified in the TeV band by ground-based Imaging Air Cherenkov Telescopes such that they constitute the dominant sour…
Characterizing Candidate Blazar Counterparts of the Ultra-High-Energy Event KM3-230213A
KM3NeT Collaboration, MessMapp Group, LAT Collaboration +13
High-energy astrophysical neutrinos serve as crucial messengers for understanding hadronic acceleration processes and identifying the origins of cosmic rays, with blazars among the…
Towards resolving the Galactic center GeV excess with millisecond-pulsar-like sources using machine learning
Dmitry V. Malyshev
Excess of gamma rays around the Galactic center (GC) observed in the Fermi Large Area Telescope (LAT) data is one of the most intriguing features in the gamma-ray sky. The spherica…
AutoSourceID-Classifier. Star-Galaxy Classification using a Convolutional Neural Network with Spatial Information
F. Stoppa, S. Bhattacharyya, R. Ruiz de Austri +10
Aims. Traditional star-galaxy classification techniques often rely on feature estimation from catalogues, a process susceptible to introducing inaccuracies, thereby potentially jeo…
Effect of covariate shift on multi-class classification of Fermi-LAT sources
Dmitry V. Malyshev
Probabilistic classification of unassociated Fermi-LAT sources using machine learning methods has an implicit assumption that the distributions of associated and unassociated sourc…
Multi-class classification of Fermi-LAT sources with hierarchical class definition
Dmitry V. Malyshev, Aakash Bhat
In the paper we develop multi-class classification of Fermi-LAT gamma-ray sources using machine learning with hierarchical determination of classes. One of the main challenges in t…
H.E.S.S. follow-up observations of Binary Black Hole Coalescence events during the second and third Gravitational Waves observing runs of Advanced LIGO and Advanced Virgo
H. E. S. S. collaboration, :, H. Abdalla +151
We report on the observations of four well-localized binary black hole (BBH) mergers by the High Energy Stereoscopic System (H.E.S.S.) during the second and third observing runs of…
Searching for TeV gamma-ray emission from SGR\,1935+2154 during its 2020 X-ray and radio bursting phase
H. E. S. S. Collaboration, :, H. Abdalla +251
Magnetar hyperflares are the most plausible explanation for fast radio bursts (FRB) -- enigmatic powerful radio pulses with durations of several milliseconds and high brightness te…