240 citations · 1.9k across the 47 of their papers we have counts for
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astro-ph.HE2023★ 5 cited
Searching for dark matter subhalos in the Fermi-LAT catalog with Bayesian neural networks
Anja Butter, Michael Krämer, Silvia Manconi +1
About a third of the -ray sources detected by the Fermi Large Area Telescope (Fermi-LAT) remain unidentified, and some of these could be exotic objects such as dark matter subha…
astro-ph.HE2021
Classification of Fermi-LAT blazars with Bayesian neural networks
Anja Butter, Thorben Finke, Felicitas Keil +2
The use of Bayesian neural networks is a novel approach for the classification of gamma-ray sources. We focus on the classification of Fermi-LAT blazar candidates, which can be div…