Observing the Next Galactic Supernova with the NOvA Detectors
Justin A. Vasel, Andrey Sheshukov, Alec Habig (the NOvA Collaboration)

TL;DR
This paper presents a data-driven trigger system for the NOvA neutrino detectors to identify neutrino signals from a galactic supernova, enabling detection of rare, low-energy neutrino bursts amidst background noise.
Contribution
It introduces a novel background rejection and detection algorithm tailored for supernova neutrino signals in the NOvA detectors, optimized for rare event detection.
Findings
Effective background suppression achieved
Trigger successfully identifies supernova neutrino signals
Preparedness for rare galactic supernova events
Abstract
The next galactic core-collapse supernova will deliver a wealth of neutrinos which for the first time we are well-situated to measure. These explosions produce neutrinos with energies between 10 and 100 MeV over a period of tens of seconds. Galactic supernovae are relatively rare events, occurring with a frequency of just a few per century. It is therefore essential that all neutrino detectors capable of detecting these neutrinos are ready to trigger on this signal when it occurs. This poster describes a data-driven trigger which is designed to detect the neutrino signal from a galactic core-collapse supernova with the NOvA detectors. The trigger analyzes 5ms blocks of detector activity and applies background rejection algorithms to detect the signal time structure over the background. This background reduction is an essential part of the process, as the NOvA detectors are designed to…
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Taxonomy
TopicsNeutrino Physics Research · Astrophysics and Cosmic Phenomena · Particle Detector Development and Performance
