Real-time Multi-Messenger Analysis Framework of KM3NeT

• Main Authors: Assal W., Dornic D., Huang F., Le Guirriec E., Lincetto M., Vannoye G., Ageron M., Aiello S., Albert A., Alshamsi M., Alves Garre S., Aly Z., Ambrosone A., Ameli F., Andre M., Androulakis G., Anghinolfi M., Anguita M., Anton G., Ardid M., Ardid S., Aublin J., Bagatelas C., Baret B., Basegmez du Pree S., Bendahman M., Benfenati F., Berbee E., van den Berg A. M., Bertin V., Beurthey S., van Beveren V., Biagi S., Billault M., Bissinger M., Boettcher M., Bou Cabo M., Boumaaza J., Bouta M., Boutonnet C., Bouvet G., Bouwhuis M., Bozza C., Branzas H., Bruijn R., Brunner J., Bruno R., Buis E., Buompane R., Busto J., Caiffi B., Caillat L., Calvo D., Campion S., Capone A., Carduner H., Carretero V., Castaldi P., Celli S., Cereseto R., Chabab M., Champion C., Chau N., Chen A., Cherubini S., Chiarella V., Chiarusi T., Circella M., Cocimano R., Coelho J. A. B., Coleiro A., Colomer Molla M., Colonges S., Coniglione R., Cosquer A., Coyle P., Cresta M., Creusot A., Cruz A., Cuttone G., D'Amico A., Dallier R., De Martino B., De Palma M., Di Palma I., Diaz A. F., Diego-Tortosa D., Distefano C., Domi A., Donzaud C., Dorr M., Drouhin D., Eberl T., Eddyamoui A., van Eeden T., van Eijk D., El Bojaddaini I., Eljarrari H., Elsaesser D., Enzenhofer A., Espinosa V., Fermani P., Ferrara G., Filipovic M. D., Filippini F., Fransen J., Fusco L. A., Gajanana D., Gal T., Garcia Mendez J., Garcia Soto A., Garcon E., Garufi F., Gatius C., Geisselbrecht N., Gialanella L., Giorgio E., Gozzini S. R., Gracia R., Graf K., Grella G., Guderian D., Guidi C., Guillon B., Gutierrez M., Haefner J., Hallmann S., Hamdaoui H., van Haren H., Heijboer A., Hekalo A., Hennig L., Henry S., Hernandez-Rey J. J., Hofestadt J., Idrissi Ibnsalih W., Ilioni A., Illuminati G., James C. W., Janezashvili D., Jansweijer P., de Jong M., de Jong P., Jung B. J., Kadler M., Kalaczynski P., Kalekin O., Katz U. F., Kayzel F., Keller P., Khan Chowdhury N. R., Kistauri G., van der Knaap F., Kooijman P., Kouchner A., Kreter M., Kulikovskiy V., Labalme M., Lagier P., Lahmann R., Lamare P., Lamoureux M., Larosa G., Lastoria C., Laurence J., Lazo A., Le Breton R., Le Stum S., Lehaut G., Leonardi O., Leone F., Leonora E., Lerouvillois C., Lesrel J., Lessing N., Levi G., Lindsey Clark M., Lipreau T., LLorens Alvarez C., Lonardo A., Longhitano F., Lopez-Coto D., Lumb N., Maderer L., Majumdar J., Manczak J., Margiotta A., Marinelli A., Marini A., Markou C., Martin L., Martinez-Mora J. A., Martini A., Marzaioli F., Mastroianni S., Melis K. W., Miele G., Migliozzi P., Migneco E., Mijakowski P., Miranda L. S., Mollo C. M., Mongelli M., Moussa A., Muller R., Musico P., Musumeci M., Nauta L., Navas S., Nicolau C. A., Nkosi B., Fearraigh B. O., O'Sullivan M., Orlando A., Ottonello G., Ottonello S., Palacios Gonzalez J., Papalashvili G., Papaleo R., Pastore C., Paun A. M., Pavalas G. E., Pellegrini G., Pellegrino C., Perrin-Terrin M., Pestel V., Piattelli P., Pieterse C., Pisanti O., Poire C., Popa V., Pradier T., Pratolongo F., Probst I., Puhlhofer G., Pulvirenti S., Quemener G., Randazzo N., Rapicavoli A., Razzaque S., Real D., Reck S., Riccobene G., Rigalleau L., Romanov A., Rovelli A., Royon J., Salesa Greus F., Samtleben D. F. E., Sanchez Losa A., Sanguineti M., Santangelo A., Santonocito D., Sapienza P., Schmelling J., Schnabel J., Schneider M. F., Schumann J., Schutte H. M., Seneca J., Sgura I., Shanidze R., Sharma A., Sinopoulou A., Spisso B., Spurio M., Stavropoulos D., Steijger J., Stellacci S. M., Taiuti M., Tatone F., Tayalati Y., Tenllado E., Tezier D., Thakore T., Theraube S., Thiersen H., Timmer P., Tingay S., Tsagkli S., Tsourapis V., Tzamariudaki E., Tzanetatos D., Valieri C., Van Elewyck V., Vasileiadis G., Versari F., Viola S., Vivolo D., de Wasseige G., Wilms J., Wojaczynski R., de Wolf E., Yousfi T., Zavatarelli S., Zegarelli A., Zito D., Zornoza J. D., Zuniga J., Zywucka N.
• Other Authors: Bianca Keilhauer, Alexander Kappes, Assal, W., Dornic, D., Huang, F., Le Guirriec, E., Lincetto, M., Vannoye, G., Ageron, M., Aiello, S., Albert, A., Alshamsi, M., Alves Garre, S., Aly, Z., Ambrosone, A., Ameli, F., Andre, M., Androulakis, G., Anghinolfi, M., Anguita, M., Anton, G., Ardid, M., Ardid, S., Aublin, J., Bagatelas, C., Baret, B., Basegmez du Pree, S., Bendahman, M., Benfenati, F., Berbee, E., van den Berg, A. M., Bertin, V., Beurthey, S., van Beveren, V., Biagi, S., Billault, M., Bissinger, M., Boettcher, M., Bou Cabo, M., Boumaaza, J., Bouta, M., Boutonnet, C., Bouvet, G., Bouwhuis, M., Bozza, C., Branzas, H., Bruijn, R., Brunner, J., Bruno, R., Buis, E., Buompane, R.
• Format: Conference Object
• Language: English
• Published: Sissa Medialab Srl 2022
• Subjects: Orca
• Online Access: https://hdl.handle.net/11591/489425

KM3NeT is a multi-purpose cubic-kilometer neutrino observatory in 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 to do neutrino astronomy over a wide energy range, from a few GeV to a few tens of PeV. In view of the growing field of time-domain astronomy, it is increasingly crucial to be able to identify neutrinos in real-time. This online neutrino sample will serve to trigger neutrino alerts that will be sent to the astronomy community and to look for time/space coincidence 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. KM3NeT's digital optical modules act as good detectors for these neutrinos. This proceeding presents the status of KM3NeT's real-time multi-messenger activities, including supernova monitoring, online event reconstruction, event classification and selection, alert distribution, and the first test of the selection on data.