Real-time Multi-Messenger Analysis Framework of KM3NeT

• Published in: Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)
• Main Authors: Assal, William, Dornic, Damien, Huang, Feifei, Le Guirriec, Emmanuel, Lincetto, Massimiliano, Vannoye, Godefroy
• Other Authors: Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Lyon (ENS Lyon), KM3NeT
• Format: Conference Object
• Language: English
• Published: HAL CCSD 2021
• Subjects: talk: online 2021/18/05; neutrino: supernova; KM3NeT; electromagnetic; on-line; trigger; observatory; monitoring; accelerator; neutrino: oscillation; optical; gravitational radiation; data analysis method; proposed experiment; [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]; Orca
• Online Access: https://hal.archives-ouvertes.fr/hal-03319975; https://doi.org/10.22323/1.395.0941

International audience KM3NeT is a multi-purpose cubic-kilometer neutrino observatory in construction in the Mediter-ranean Sea. It consists of ORCA and ARCA (for Oscillation and Astroparticle Research withCosmics in the Abyss, respectively); currently both have a few detection lines in operation. Al-though having different primary goals, both detectors can be used to do neutrino astronomy over awide energy range, from a few GeV to a few tens of PeV. In view of the growing field of time-domainastronomy, it is increasingly crucial to be able to identify neutrinos in real-time. This online neu-trino sample will serve to trigger neutrino alerts that will be sent to the astronomy community andto look for time/space coincidence around external electromagnetic and multi-messenger triggers.These real-time searches can significantly increase the discovery potential of transient cosmicaccelerators and refine the pointing directions in the case of poorly localized triggers, such asgravitational waves. In the field of core-collapse supernovae (CCSN), the detection of the MeV-scale CCSN neutrinos is crucial as an early warning. KM3NeT’s digital optical modules act asgood detectors for these neutrinos. This proceeding presents the status of KM3NeT’s real-timemulti-messenger activities, including supernova monitoring, online event reconstruction, eventclassification and selection, alert distribution, and the first test of the selection on data.