# New Prospects for Detecting High-Energy Neutrinos from Nearby Supernovae

**Authors:** Kohta Murase (PSU)

arXiv: 1705.04750 · 2023-12-29

## TL;DR

This paper predicts high-energy neutrino emissions from various supernovae types, suggesting that current detectors could observe thousands of events from nearby supernovae, opening new avenues for astrophysics and neutrino physics research.

## Contribution

It provides the first detailed, time-dependent predictions of high-energy neutrino signals from diverse supernovae, optimizing search strategies for current neutrino observatories.

## Key findings

- IceCube can detect ~1000 events from a SN II-P at 10 kpc.
- KM3Net can detect ~300,000 events from a SN IIn at 10 kpc.
- Neutrino detection can reveal supernova physics and cosmic-ray origins.

## Abstract

Neutrinos from supernovae (SNe) are crucial probes of explosive phenomena at the deaths of massive stars and neutrino physics. High-energy neutrinos are produced through hadronic processes by cosmic rays, which are accelerated during interaction between the supernova (SN) ejecta and circumstellar material (CSM). Recent observations of extragalactic SNe have revealed that a dense CSM is commonly expelled by the progenitor star. We provide new quantitative predictions of time-dependent high-energy neutrino emission from diverse types of SNe. We show that IceCube and KM3Net can detect about 1000 events from a SN II-P (and about 300000 events from a SN IIn) at a distance of 10 kpc. The new model also enables us to critically optimize the time window for dedicated searches for nearby SNe. A successful detection will give us a multienergy neutrino view of SN physics and new opportunities to study neutrino properties, as well as clues to the cosmic-ray origin. GeV-TeV neutrinos may also be seen by KM3Net, Hyper-Kamiokande, and PINGU.

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/1705.04750/full.md

## References

75 references — full list in the complete paper: https://tomesphere.com/paper/1705.04750/full.md

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Source: https://tomesphere.com/paper/1705.04750