On-line recognition of supernova neutrino bursts in the LVD detector

TL;DR

This paper demonstrates how the LVD detector can autonomously identify supernova neutrino bursts in real-time without external triggers, optimizing detection algorithms and analyzing sensitivity based on supernova distance and neutrino flux.

Contribution

It introduces an optimized on-line detection algorithm for supernova neutrino bursts in the LVD detector, enhancing autonomous real-time recognition capabilities.

Findings

The detector can identify supernova neutrino bursts without external triggers.

Detection sensitivity varies with supernova distance and neutrino flux.

The optimized algorithm improves real-time burst recognition efficiency.

Abstract

In this paper we show the capabilities of the Large Volume Detector (INFN Gran Sasso National Laboratory) to identify a neutrino burst associated to a supernova explosion, in the absence of an "external trigger", e.g., an optical observation. We describe how the detector trigger and event selection have been optimized for this purpose, and we detail the algorithm used for the on-line burst recognition. The on-line sensitivity of the detector is defined and discussed in terms of supernova distance and electron anti-neutrino intensity at the source.