Disentangling Sub-GeV Dark Matter from the Diffuse Supernova Neutrino Background using Hyper-Kamiokande
Abstract
The upcoming Hyper-Kamiokande (HyperK) experiment is expected to detect the Diffuse Supernova Neutrino Background (DSNB). This requires to ponder 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 HyperK detector. We find that DM-induced neutrinos could indeed alter the extraction of the correct values of the parameters of interest for DSNB physics. Since the DSNB is an isotropic signal, and DM originates primarily from the Galactic centre, we show that this effect could be alleviated with an on-off analysis.
Cite
@article{arxiv.2212.07989,
title = {Disentangling Sub-GeV Dark Matter from the Diffuse Supernova Neutrino Background using Hyper-Kamiokande},
author = {Sandra Robles},
journal= {arXiv preprint arXiv:2212.07989},
year = {2023}
}
Comments
7 pages, 2 figures, 1 table. Accepted for publication in SciPost Physics Proceedings: 14th International Conference on Identification of Dark Matter (IDM) 2022