activity
20212026
most citedConstraining dark matter annihilation with cosmic ray antiprotons using neural networks

19 citations · 27 across the 6 of their papers we have counts for

collaborators

7 papers

astro-ph.HE2026

Weakly supervised machine learning for model-agnostic searches of new phenomena in the -ray sky

Michael Krämer, Silvia Manconi, Kathrin Nippel

The -ray sky, as observed by the Fermi Large Area Telescope, contains a significant number of unassociated sources that may point to new astrophysical populations or more exotic…

astro-ph.HE2025★ 1 cited

SECRET: Stochasticity Emulator for Cosmic Ray Electrons

Nikolas Frediani, Michael Krämer, Philipp Mertsch +1

The spectrum of cosmic-ray electrons depends sensitively on the history and spatial distribution of nearby sources. Given our limited observational handle on cosmic-ray sources, an…

hep-ph2024★ 2 cited

arkRayNet: Emulation of cosmic-ray antideuteron fluxes from dark matter

Jan Heisig, Michael Korsmeier, Michael Krämer +2

Cosmic-ray antimatter, particularly low-energy antideuterons, serves as a sensitive probe of dark matter annihilating in our Galaxy. We study this smoking-gun signature and explore…

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…

hep-ph2023

Fast and accurate AMS-02 antiproton likelihoods for global dark matter fits

Sowmiya Balan, Felix Kahlhoefer, Michael Korsmeier +2

The antiproton flux measurements from AMS-02 offer valuable information about the nature of dark matter, but their interpretation is complicated by large uncertainties in the model…

astro-ph.HE2021

EuCAPT White Paper: Opportunities and Challenges for Theoretical Astroparticle Physics in the Next Decade

R. Alves Batista, M. A. Amin, G. Barenboim +134

Astroparticle physics is undergoing a profound transformation, due to a series of extraordinary new results, such as the discovery of high-energy cosmic neutrinos with IceCube, the…

astro-ph.HE2021★ 19 cited

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…