activity
20122026
most citedMachine learning methods for constructing probabilistic Fermi-LAT catalogs

16 citations · 20 across the 8 of their papers we have counts for

collaborators

8 papers

astro-ph.HE2026

Identifying potentially missed extended sources in the Fermi-LAT 4FGL Catalog using clustering analysis

Giovanni Cozzolongo, Alison M. W. Mitchell, Samuel T. Spencer +2

Many Fermi Large Area Telescope (LAT) sources remain unassociated. Some may be extended sources represented by multiple catalog entries, as found for HESS J1813-178. We search for…

astro-ph.HE2025

Clustering analysis of Fermi-LAT unidentified point sources

Giovanni Cozzolongo, Alison M. W. Mitchell, Samuel T. Spencer +2

The Fermi Large Area Telescope (LAT) has detected thousands of sources since its launch in 2008, with many remaining unidentified. Some of these point sources may arise from source…

astro-ph.HE2024

Classification of Fermi-LAT unassociated sources with machine learning in the presence of dataset shifts

Dmitry V. Malyshev

About one third of Fermi Large Area Telescope (LAT) sources are unassociated. We perform multi-class classification of Fermi-LAT sources using machine learning with the goal of pro…

astro-ph.HE2024

Galactic center GeV excess and classification of Fermi-LAT sources with machine learning

Dmitry V. Malyshev

Excess of gamma rays with a spherical morphology around the Galactic center (GC) observed in the Fermi large area telescope (LAT) data is one of the most intriguing features in the…

astro-ph.HE2022

Towards probabilistic multiclass classification of gamma-ray sources

Dmitry Malyshev, Aakash Bhat

Machine learning algorithms have been used to determine probabilistic classifications of unassociated sources. Often classification into two large classes, such as Galactic and ext…

astro-ph.HE2021★ 16 cited

Machine learning methods for constructing probabilistic Fermi-LAT catalogs

Aakash Bhat, Dmitry Malyshev

Classification of sources is one of the most important tasks in astronomy. Sources detected in one wavelength band, for example using gamma rays, may have several possible associat…

astro-ph.HE2017

Fermi Bubbles: an Elephant in the Gamma-ray Sky

Dmitry Malyshev

The Fermi bubbles are one of the most remarkable features in the gamma-ray sky revealed by the Fermi Large Area Telescope (LAT). The nature of the gamma-ray emission and the origin…

astro-ph.IM2012★ 4 cited

Spectral components analysis of diffuse emission processes

Dmitry Malyshev

We develop a novel method to separate the components of a diffuse emission process based on an association with the energy spectra. Most of the existing methods use some informatio…