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Dark Matter Pollution in the Diffuse Supernova Neutrino Background

Sandra Robles · CERN

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About

Upcoming neutrino experiments are expected to detect the Diffuse Supernova Neutrino Background (DSNB). This requires pondering all possible sources of background. Sub-GeV dark matter (DM) which annihilates into neutrinos is a potential background that has not been considered so far. We simulate DSNB and DM signals, as well as backgrounds in the Hyper-Kamiokande detector. We find that DM-induced neutrinos could indeed alter the extraction of the correct values of the parameters of interest for DSNB physics. While this opens the possibility of simultaneously characterizing the DNSB and discovering DM via indirect detection, we argue that it would be hard to disentangle the two contributions due to the lack of angular information available at low energies..

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The talk

  1. Dark Matter Pollution in the Diffuse Supernova Neutrino Background 2023-05-31 · 6 min · CERN's player

Credits and licence

Institution
CERN
Department
Eucapt Conferences
Speaker
Sandra Robles
Year
2023
Language
English
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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