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

2024/06/06 by Malyshev, Dmitry V. · 1 citation
#FOS: Physical sciences #High Energy Astrophysical Phenomena (astro-ph.HE)

paper · doi:10.48550/arxiv.2406.03990

Abstract

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 gamma-ray sky. The excess has been interpreted by annihilating dark matter as well as emission from a population of unresolved millisecond pulsars (MSPs). We use a multi-class classification of Fermi-LAT sources with machine learning to study the distribution of MSP-like sources among unassociated Fermi-LAT sources near the GC. We find that the source count distribution of MSP-like sources is comparable with the MSP explanation of the GC excess.

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• Fermi-LAT Galactic Center Excess morphology of dark matter in simulations of the Milky Way galaxy

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