Towards a reconstruction of Supernova Neutrino Spectra in JUNO

TL;DR

This paper explores methods to reconstruct supernova neutrino spectra using JUNO's capabilities, aiming to improve understanding of supernova dynamics and neutrino properties through high-statistics detection.

Contribution

It proposes a reconstruction approach for supernova neutrino spectra in JUNO, leveraging its high event rate potential to enhance supernova and neutrino physics insights.

Findings

JUNO can detect thousands of supernova neutrino events from a 10 kpc burst.

Reconstruction methods can extract spectral information from JUNO data.

Potential to distinguish neutrino interaction channels and improve supernova models.

Abstract

Observation of supernovae (SN) through their neutrino emission is a fundamental point to understand both SN dynamics and neutrino physical properties. JUNO is a 20kton liquid scintillator detector, under construction in Jiangmen, China. The main aim of the experiment is to determine neutrino mass hierarchy by precisely measuring the energy spectrum of reactor electron antineutrinos. However due to its properties, JUNO has the capability of detecting a high statistics of SN events too. Existing data from SN neutrino consists only of 24 events coming from the SN 1987A,the detection of a SN burst in JUNO at $\sim 10 kpc$ will yield $\sim 5 x 10^{3}$ inverse beta decay (IBD) events from electron antineutrinos, about 1500 from proton elastic scattering (pES) above the threshold of 0.2 MeV, about 400 from electron elastic scattering (eES), plus several hundreds on other CC and NC interaction channels from all neutrino species.