SciPost Submission Page
Disentangling Sub-GeV Dark Matter from the Diffuse Supernova Neutrino Background using Hyper-Kamiokande
by Sandra Robles
Submission summary
| Authors (as registered SciPost users): | Sandra Robles |
| Submission information | |
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| Preprint Link: | scipost_202209_00015v1 (pdf) |
| Date accepted: | Nov. 11, 2022 |
| Date submitted: | Sept. 8, 2022, 8:14 p.m. |
| Submitted by: | Sandra Robles |
| Submitted to: | SciPost Physics Proceedings |
| Proceedings issue: | 14th International Conference on Identification of Dark Matter (IDM2022) |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approach: | Phenomenological |
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.
Published as SciPost Phys. Proc. 12, 065 (2023)
Reports on this Submission
Report #1 by Anonymous (Referee 1) on 2022-10-20 (Invited Report)
- Cite as: Anonymous, Report on arXiv:scipost_202209_00015v1, delivered 2022-10-20, doi: 10.21468/SciPost.Report.5942
Strengths
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This manuscript discusses the detection of MeV astrophysical neutrinos, which will be promising in the near future, and studies the differences between dark matter and supernova origins.
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The manuscript is clear in presenting their models, as well as the results, showing angular information may be crucial in disentangle the signals.
Weaknesses
Report
Requested changes
None.