Real-time Multi-Messenger Analysis Framework for KM3NeT

TL;DR

This paper discusses KM3NeT's development of a real-time multi-messenger analysis framework that enhances neutrino detection, alerting, and supernova monitoring to improve transient cosmic event discovery and follow-up.

Contribution

It introduces the current status of KM3NeT's real-time analysis capabilities, including online event reconstruction, classification, alert distribution, and supernova detection methods.

Findings

Implementation of online event reconstruction and classification.

Effective real-time alert distribution system.

Monitoring capabilities for supernova neutrinos.

Abstract

KM3NeT is a multi-purpose cubic-kilometer neutrino observatory under construction in the Mediterranean Sea. It consists of ORCA and ARCA (for Oscillation and Astroparticle Research with Cosmics in the Abyss, respectively), currently both have a few detection lines in operation. Although having different primary goals, both detectors can be used for neutrino astronomy over a wide energy range, from a few tens of MeVs to a few tens of PeV. In view of the growing field of time-domain astronomy, it is crucial to be able to identify neutrino candidates in real-time. This online neutrino sample will allow triggered neutrino alerts that will be sent to the astronomy community and to look for time/space coincidences around external electromagnetic and multi-messenger triggers. These real-time searches can significantly increase the discovery potential of transient cosmic accelerators and refine the pointing directions in the case of poorly localized triggers, such as gravitational waves. In the field of core-collapse supernovae (CCSN), the detection of the MeV-scale CCSN neutrinos is crucial as an early warning of the electromagnetic follow-up. KM3NeT's digital optical modules act as good detectors for these supernovae neutrinos. This proceeding presents the status of KM3NeT's real-time multi-messenger activities, including online event reconstruction, event classification and selection, alert distribution, and supernova monitoring.