Monte Carlo simulations are a unique tool to check the response of a detector and to monitor its performance. For a deep-sea neutrino telescope, the variability of the environmental conditions that can affect the behaviour of the data acquisition system must be considered, in addition to a reliable description of the active parts of the detector and of the features of physics events, in order to produce a realistic set of simulated events. In this paper, the software tools used to produce neutrino and cosmic ray signatures in the telescope and the strategy developed to represent the time evolution of the natural environment and of the detector effciency are described.
Monte Carlo simulations for the ANTARES underwater neutrino telescope / Albert, A.; André, M.; Anghinolfi, M.; Anton, G.; Ardid, M.; Aubert, J.-J.; Aublin, J.; Baret, B.; Basa, S.; Belhorma, B.; Bertin, V.; Biagi, S.; Bissinger, M.; Boumaaza, J.; Bouta, M.; Bouwhuis, M.C.; Brânzaş, H.; Bruijn, R.; Brunner, J.; Busto, J.; Capone, A.; Caramete, L.; Carr, J.; Cecchini, S.; Celli, S.; Chabab, M.; Chau, T.N.; Moursli, R. Cherkaoui El; Chiarusi, T.; Circella, M.; Coleiro, A.; Colomer-Molla, M.; Coniglione, R.; Coyle, P.; Creusot, A.; Díaz, A.F.; de Wasseige, G.; Deschamps, A.; Distefano, C.; Palma, I. Di; Domi, A.; Donzaud, C.; Dornic, D.; Drouhin, D.; Eberl, T.; Khayati, N. El; Enzenhöfer, A.; Ettahiri, A.; Fermani, P.; Ferrara, G.; Filippini, F.; Fusco, L.; Gay, P.; Glotin, H.; Gozzini, R.; Graf, K.; Guidi, C.; Hallmann, S.; Haren, H. van; Heijboer, A.J.; Hello, Y.; Hernández-Rey, J.J.; Hößl, J.; Hofestädt, J.; Huang, F.; Illuminati, G.; James, C.W.; de Jong, M.; de Jong, P.; Jongen, M.; Kadler, M.; Kalekin, O.; Katz, U.; Khan-Chowdhury, N.R.; Kouchner, A.; Kreykenbohm, I.; Kulikovskiy, V.; Lahmann, R.; Breton, R. Le; Lefèvre, D.; Leonora, E.; Levi, G.; Lincetto, M.; Lopez-Coto, D.; Loucatos, S.; Manczak, J.; Marcelin, M.; Margiotta, A.; Marinelli, A.; Martínez-Mora, J.A.; Mazzou, S.; Melis, K.; Migliozzi, P.; Moser, M.; Moussa, A.; Muller, R.; Nauta, L.; Navas, S.; Nezri, E.; Nuñez-Castiñeyra, A.; O'Fearraigh, B.; Organokov, M.; Păvălaş, G.E.; Pellegrino, C.; Perrin-Terrin, M.; Piattelli, P.; Poirè, C.; Popa, V.; Pradier, T.; Randazzo, N.; Reck, S.; Riccobene, G.; Salesa, F.; Sánchez-Losa, A.; Samtleben, D.F.E.; Sanguineti, M.; Sapienza, P.; Schnabel, J.; Schüssler, F.; Spurio, M.; Stolarczyk, Th.; Strandberg, B.; Taiuti, M.; Tayalati, Y.; Thakore, T.; Tingay, S.J.; Vallage, B.; Elewyck, V. Van; Versari, F.; Viola, S.; Vivolo, D.; Wilms, J.; Zegarelli, A.; Zornoza, J.D.; Zúñiga, J.. - In: JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS. - ISSN 1475-7516. - STAMPA. - 2021:01(2021), pp. 064.1-064.19. [10.1088/1475-7516/2021/01/064]
Monte Carlo simulations for the ANTARES underwater neutrino telescope
Filippini, F.;Illuminati, G.;Levi, G.;Margiotta, A.
;Spurio, M.;Versari, F.;
2021
Abstract
Monte Carlo simulations are a unique tool to check the response of a detector and to monitor its performance. For a deep-sea neutrino telescope, the variability of the environmental conditions that can affect the behaviour of the data acquisition system must be considered, in addition to a reliable description of the active parts of the detector and of the features of physics events, in order to produce a realistic set of simulated events. In this paper, the software tools used to produce neutrino and cosmic ray signatures in the telescope and the strategy developed to represent the time evolution of the natural environment and of the detector effciency are described.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
