KM3NeT real-time analysis framework

Mastrodicasa, Massimo; Aiello, S.; Albert, A.; Alshamsi, M.; Alves Garre, S.; Aly, Z.; Ambrosone, A.; Ameli, F.; André, M.; Androutsou, E.; Anguita, M.; Aphecetche, L.; Ardid, M.; Ardid, S.; Atmani, H.; Aublin, J.; Bailly-Salins, L.; Bardačová, Z.; Baret, B.; Bariego-Quintana, A.; Basegmez du Pree, S.; Becherini, Y.; Bendahman, M.; Benfenati, F.; Benhassi, M.; Benoit, D. M.; Berbee, E.; Bertin, V.; Biagi, S.; Boettcher, M.; Bonanno, D.; Boumaaza, J.; Bouta, M.; Bouwhuis, M.; Bozza, C.; Bozza, R. M.; Bretaudeau, F.; Bruijn, R.; Brunner, J.; Bruno, R.; Buis, E.; Buompane, R.; Busto, J.; Caiffi, B.; Calvo, D.; Campion, S.; Capone, A.; Carenini, F.; Carretero, V.; Cartraud, T.; Castaldi, P.; Cecchini, V.; Celli, S.; Cerisy, L.; Chabab, M.; Chadolias, M.; Chen, A.; Cherubini, S.; Chiarusi, T.; Circella, M.; Cocimano, R.; Coelho, J. A. B.; Coleiro, A.; Coniglione, R.; Coyle, P.; Creusot, A.; Cuttone, G.; Dallier, R.; Darras, Y.; De Benedittis, A.; De Martino, B.; Decoene, V.; Del Burgo, R.; Del Rosso, I.; Di Cerbo, U. M.; Di Mauro, L. S.; Di Palma, I.; Díaz, A. F.; Díaz, C.; Diego-Tortosa, D.; Distefano, C.; Domi, A.; Donzaud, C.; Dornic, D.; D{ö}rr, M.; Drakopoulou, E.; Drouhin, D.; Dvornický, R.; Eberl, T.; Eckerová, E.; Eddymaoui, A.; van Eeden, T.; Eff, M.; van Eijk, D.; El Bojaddaini, I.; El Hedri, S.; Enzenhöfer, A.; Ferrara, G.; Filipović, M. D.; Filippini, F.; Franciotti, D.; Fusco, L. A.; Gabriel, J.; Gagliardini, S.; Gal, T.; García M{é}ndez, J.; Garcia Soto, A.; Gatius Oliver, C.; Geißelbrecht, N.; Ghaddari, H.; Gialanella, L.; Gibson, B. K.; Giorgio, E.; Goos, I.; Goupilliere, D.; Gozzini, S. R.; Gracia, R.; Graf, K.; Guidi, C.; Guillon, B.; Guti{é}rrez, M.; van Haren, H.; Heijboer, A.; Hekalo, A.; Hennig, L.; Hernandez Rey, J. J.; Idrissi Ibnsalih, W.; Illuminati, G.; de Jong, M.; de Jong, P.; Jung, B. J.; Kalaczyński, P.; Kalekin, O.; Katz, U. F.; Khan Chowdhury, N. R.; Khatun, A.; Kistauri, G.; Kopper, C.; Kouchner, A.; Kueviakoe, V.; Kulikovskiy, V.; Kvatadze, R.; Labalme, M.; Lahmann, R.; Larosa, G.; Lastoria, C.; Lazo, A.; Le Stum, S.; Lehaut, G.; Leonora, E.; Lessing, N.; Levi, G.; Lindsey Clark, M.; Longhitano, F.; Majumdar, J.; Malerba, L.; Mamedov, F.; Manczak, J.; Manfreda, A.; Marconi, M.; Margiotta, A.; Marinelli, A.; Markou, C.; Martin, L.; Martínez-Mora, J. A.; Marzaioli, F.; Mastrodicasa, M.; Mastroianni, S.; Miccich{è}, S.; Miele, G.; Migliozzi, P.; Migneco, E.; Mitsou, M. L.; Mollo, C. M.; Morales-Gallegos, L.; Morga, M.; Moussa, A.; Mozun Mateo, I.; Muller, R.; Musone, M. R.; Musumeci, M.; Navas, S.; Nayerhoda, A.; Nicolau, C. A.; Nkosi, B.; {Ó} Fearraigh, B.; Oliviero, V.; Orlando, A.; Oukacha, E.; Paesani, D.; Palacios Gonz{á}lez, J.; Papalashvili, G.; Parisi, V.; Pastor Gomez, E.J.; Păun, A. M.; Păvălaš, G. E.; Peña Martínez, S.; Perrin-Terrin, M.; Perronnel, J.; Pestel, V.; Pestes, R.; Piattelli, P.; Poir{è}, C.; Popa, V.; Pradier, T.; Pulvirenti, S.; Quéméner, G.; Quiroz-Rangel, C.A.; Rahaman, U.; Randazzo, N.; Randriatoamanana, R.; Razzaque, S.; Rea, I. C.; Real, D.; Riccobene, G.; Robinson, J.; Romanov, A.; Saina, A.; Salesa Greus, F.; Samtleben, D. F. E.; S{á}nchez Losa, A.; Sanfilippo, S.; Sanguineti, M.; Santonastaso, C.; Santonocito, D.; Sapienza, P.; Schnabel, J.; Schumann, J.; Schutte, H. M.; Seneca, J.; Sennan, N.; Setter, B.; Sgura, I.; Shanidze, R.; Sharma, A.; Shitov, Y.; Šimkovic, F.; Simonelli, A.; Sinopoulou, A.; Smirnov, M.V.; Spisso, B.; Spurio, M.; Stavropoulos, D.; Štekl, I.; Taiuti, M.; Tayalati, Y.; Tedjditi, H.; Thiersen, H.; Tosta e Melo, I.; Trocm{é}, B.; Tsourapis, V.; Tzamariudaki, E.; Vacheret, A.; Valsecchi, V.; Van Elewyck, V.; Vannoye, G.; Vasileiadis, G.; Vazquez de Sola, F.; Verilhac, C.; Veutro, A.; Viola, S.; Vivolo, D.; Wilms, J.; de Wolf, E.; Yepes-Ramirez, H.; Zarpapis, G.; Zavatarelli, S.; Zegarelli, A.; Zito, D.; Zornoza, J. D.; Z{ú}{\ n}iga, J.; Zywucka, N.; on behalf of the KM3NeT Collaboration,

doi:10.22323/1.441.0273

Abstract

KM3NeT is a deep-sea neutrino observatory under construction at two sites in the Mediterranean Sea. The ARCA telescope (Italy), aims at identifying and studying TeV-PeV astrophysical neutrino sources, while the ORCA telescope (France), aims at studying the intrinsic properties of neutrinos in the few-GeV range. Since they are optimised in complementary energy ranges, both telescopes can be used to do neutrino astronomy from a few MeV to a few PeV, despite of their different primary goals. The KM3NeT observatory takes active part to the real-time multi-messenger searches, which allow to study transient phenomena by combining information from the simultaneous observation of complementary cosmic messengers with different observatories. In this respect, a key component is the real-time distribution of alerts when potentially interesting detections occur, in order to increase the discovery potential of transient sources and refine the localization of poorly localized triggers, such as gravitational waves. The KM3NeT real-time analysis framework is currently reconstructing all ARCA and ORCA events, searching for spatial and temporal coincidences with alerts received from other operating multi-messenger instruments and performing core-collapse supernova analyses. The selection of a sample of interesting events to send alerts to the external multi-messenger community is presently under definition. This contribution deals with the status of the KM3NeT real-time analysis framework and its first results.