Volume 501 - 39th International Cosmic Ray Conference (ICRC2025) - Neutrino Astronomy & Physics
Stacking search for neutrinos from gamma-ray bursts with the KM3NeT/ARCA detector
J. Palacios González*, G. Pascua Ramón, V. Checcini, M. Lamoureux, F. Salesa Greus, A. Sánchez Losa, J. Zúñiga Román and  On behalf of the KM3NeT Collaboration
*: corresponding author
Full text: pdf
Pre-published on: September 24, 2025
Published on:
Abstract
Gamma-ray bursts (GRBs) are intense transient phenomena occurring at a rate of about one per day, and are considered promising candidate sources of cosmic neutrinos in the GeV-PeV energy range. Despite extensive efforts, no correlation between neutrinos and GRBs has been observed so far, motivating more exhaustive searches in a multi-messenger context.\\ In this contribution, a stacking search for neutrinos in spatial and time correlation of GRBs is presented, using data from the KM3NeT/ARCA detector. The detector, currently under construction at the bottom of the Mediterranean Sea, is already operational with partial configurations. This analysis employs data collected with the KM3NeT/ARCA 21 lines configuration, representing nearby $10\%$ of the complete detector. The search is based on methods originally developed for real-time analyses, incorporating refined calibrations, dynamic positioning and enhanced event selection criteria. No significant excess of candidate neutrino events coming from the population inspected of GRBs has been observed. The results include significance estimations from the GRB locations inspected, highlighting the potential of KM3NeT/ARCA to perform dedicated multi-messenger studies.
DOI: https://doi.org/10.22323/1.501.1139
How to cite

Metadata are provided both in article format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in proceeding format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.