Acero, M A, Adamson, P, Agam, G, Aliaga, L, Alion, T, Allakhverdian, V, Anfimov, N, Antoshkin, A, Asquith, L, Baird, M, Booth, A C, Hartnell, J, Mayes, B, Méndez, D P and Zhang, Y (2020) Supernova neutrino detection in NOvA. Journal of Cosmology and Astroparticle Physics, 2020 (10). a014 1-29. ISSN 1475-7516

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Abstract

The NOvA long-baseline neutrino experiment uses a pair of large, segmented, liquid-scintillator calorimeters to study neutrino oscillations, using GeV-scale neutrinos from the Fermilab NuMI beam. These detectors are also sensitive to the flux of neutrinos which are emitted during a core-collapse supernova through inverse beta decay interactions on carbon at energies of O(10 MeV). This signature provides a means to study the dominant mode of energy release for a core-collapse supernova occurring in our galaxy. We describe the data-driven software trigger system developed and employed by the NOvA experiment to identify and record neutrino data from nearby galactic supernovae. This technique has been used by NOvA to self-trigger on potential core-collapse supernovae in our galaxy, with an estimated sensitivity reaching out to 10 kpc distance while achieving a detection efficiency of 23% to 49% for supernovae from progenitor stars with masses of 9.6 M☉ to 27 M☉, respectively.

Item Type:	Article
Schools and Departments:	School of Mathematical and Physical Sciences > Physics and Astronomy
SWORD Depositor:	Mx Elements Account
Depositing User:	Mx Elements Account
Date Deposited:	07 Jan 2021 11:22
Last Modified:	06 Oct 2021 01:00
URI:	http://sro.sussex.ac.uk/id/eprint/96360

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