Latest multi-messenger results of the KM3NeT real-time analysis framework
Multi-messenger astronomy studies transient phenomena by combining the information provided by different cosmic messengers, such as neutrinos, photons, charged particles or gravitational waves. A coincident detection enhances the chances for the identification of new astrophysical sources, which motivates the distribution of external alerts and their follow-ups by multiple observatories worldwide. KM3NeT is a deep-sea research infrastructure hosting two neutrino telescopes currently taking data with partial configurations at the Mediterranean Sea. Two different arrays are being constructed: ORCA, offshore Toulon (France), and ARCA, offshore of Portopalo di Capo Passero, Sicily (Italy). In this contribution, the latest results of the neutrino searches conducted with the real-time multi-messenger analysis platform of the KM3NeT detectors are summarised, including statistical significance. These searches cover a wide neutrino energy range, from MeV up to a few of PeVs.
Authors
- M. Lamoureux (ORCID: https://orcid.org/0000-0002-8860-5826)
- S. Le Stum
- D. Dornic
- I. Del Rosso (ORCID: https://orcid.org/0000-0002-2650-7606)
- J. Palacios González (ORCID: https://orcid.org/0000-0001-9292-9981)
- A. Veutro (ORCID: https://orcid.org/0009-0002-9160-5808)
- F. Salesa Greus (ORCID: https://orcid.org/0000-0002-8610-8703)
- V. Cecchini
- F. Filippini
- G. Illuminati
- G. Vannoye
- E. Le Guirriec
- A. Sánchez Losa
- M. Mastrodicasa
- S. Celli
- A. Zegarelli
- J. De Favereau
Institutions
- Centre National de la Recherche Scientifique (FR)
- Consejo Superior de Investigaciones Científicas (ES)
- Aix-Marseille Université (FR)
- Parc Científic de la Universitat de València (ES)
- Centre de physique des particules de Marseille (FR)
- Ion Beam Applications (Belgium) (BE)
- Istituto Nazionale di Fisica Nucleare, Sezione di Bologna (IT)
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma I (IT)
- Sapienza University of Rome (IT)
- University of Bologna (IT)
Publication Details
- Published
- 2024-12-23
- DOI
- https://doi.org/10.22323/1.476.0667
- Primary Topic
- Parallel Computing and Optimization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministerio de Ciencia e Innovación
- European Regional Development Fund
- Agencia Estatal de Investigación