Dark Matter Pollution in the Diffuse Supernova Neutrino Background

Abstract

The Hyper-Kamiokande (HyperK) experiment is expected to precisely measure the Diffuse Supernova Neutrino Background (DSNB). This requires that the backgrounds in the relevant energy range are well understood. One possible background that has not been considered thus far is the annihilation of low-mass dark matter (DM) to neutrinos. We conduct simulations of the DSNB signal and backgrounds in HyperK, and quantify the extent to which DM annihilation products can pollute the DSNB signal. We find that the presence of DM could affect the determination of the correct values of parameters of interest for DSNB physics, such as effective neutrino temperatures and star formation rates. While this opens the possibility of simultaneously characterising the DNSB and discovering dark matter 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.

18 pages, 5 figures, 2 tables. Matches published version

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Cited by in corpus (5)

• Energy-dependent Boosted Dark Matter from Diffuse Supernova Neutrino Background
• Diffuse neutrino background from past core-collapse supernovae
• First Detailed Calculation of Atmospheric Neutrino Foregrounds to the Diffuse Supernova Neutrino Background in Super-Kamiokande
• Disentangling Sub-GeV Dark Matter from the Diffuse Supernova Neutrino Background using Hyper-Kamiokande
• Searching for MeV-mass neutrinophilic Dark Matter with Large Scale Dark Matter Detectors