Energy-dependent Boosted DM from DSNB

The diffuse supernova neutrino background (DSNB) offers a unique way to probe MeV-scale dark matter (DM) by boosting DM particles in the Milky Way to detectable energies. Considering minimal models of DM-electron and DM-neutrino interactions, we study energy-dependent scattering cross sections and analyse DM attenuation due to electron scattering in the Earth. New bounds on these interactions are set using electron recoil data from XENONnT. We show that energy-dependent cross sections can significantly alter previous constraints based on energy independent cross sections, highlighting the need for studies on a model-by-model basis.

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Publication Details

Published
2025-03-20
DOI
https://doi.org/10.22323/1.473.0014
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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Energy-dependent Boosted DM from DSNB

Anirban Das, Manibrata Sen, Tim Herbermann, Volodymyr Takhistov
Parallel Computing and Optimization Techniques
article

Energy-dependent Boosted DM from DSNB

Anirban Das, Manibrata Sen, Tim Herbermann, Volodymyr Takhistov
article en

Abstract

The diffuse supernova neutrino background (DSNB) offers a unique way to probe MeV-scale dark matter (DM) by boosting DM particles in the Milky Way to detectable energies. Considering minimal models of DM-electron and DM-neutrino interactions, we study energy-dependent scattering cross sections and analyse DM attenuation due to electron scattering in the Earth. New bounds on these interactions are set using electron recoil data from XENONnT. We show that energy-dependent cross sections can significantly alter previous constraints based on energy independent cross sections, highlighting the need for studies on a model-by-model basis.

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