260 citations · 2.1k across the 41 of their papers we have counts for
5 papers · 1 filter
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…
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…
Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
Felix Kahlhoefer, Michael Korsmeier, Michael Krämer +2
The interpretation of data from indirect detection experiments searching for dark matter annihilations requires computationally expensive simulations of cosmic-ray propagation. In…
Probing dark matter annihilation in the Galaxy with antiprotons and gamma rays
Alessandro Cuoco, Jan Heisig, Michael Korsmeier +1
A possible hint of dark matter annihilation has been found in Cuoco, Korsmeier and Krämer (2017) from an analysis of recent cosmic-ray antiproton data from AMS-02 and taking into a…
Novel dark matter constraints from antiprotons in the light of AMS-02
Alessandro Cuoco, Michael Krämer, Michael Korsmeier
We evaluate dark matter (DM) limits from cosmic-ray antiproton observations using the recent precise AMS-02 measurements. We properly take into account cosmic-ray propagation uncer…