A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors. (12th August 2021)

• Record Type: Journal Article
• Authors: Abbasi, R.; Ackermann, M.; Adams, J.; Aguilar, J.A.; Ahlers, M.; Ahrens, M.; Alispach, C.; Alves , A.A.; Amin, N.M.; An, R.; Andeen, K.; Anderson, T.; Ansseau, I.; Anton, G.; Argüelles, C.; Axani, S.; Bai, X.; Balagopal V., A.; Barbano, A.; Barwick, S.W.; Bastian, B.; Basu, V.; Baur, S.; Bay, R.; Beatty, J.J.; Becker, K.-H.; Becker Tjus, J.; Bellenghi, C.; BenZvi, S.; Berley, D.; Bernardini, E.; Besson, D.Z.; Binder, G.; Bindig, D.; Blaufuss, E.; Blot, S.; Borowka, J.; Böser, S.; Botner, O.; Böttcher, J.; Bourbeau, E.; Bourbeau, J.; Bradascio, F.; Braun, J.; Bron, S.; Brostean-Kaiser, J.; Browne, S.; Burgman, A.; Busse, R.S.; Campana, M.A.; Chen, C.; Chirkin, D.; Choi, K.; Clark, B.A.; Clark, K.; Classen, L.; Coleman, A.; Collin, G.H.; Conrad, J.M.; Coppin, P.; Correa, P.; Cowen, D.F.; Cross, R.; Dave, P.; De Clercq, C.; DeLaunay, J.J.; Dembinski, H.; Deoskar, K.; De Ridder, S.; Desai, A.; Desiati, P.; de Vries, K.D.; de Wasseige, G.; de With, M.; DeYoung, T.; Dharani, S.; Diaz, A.; Díaz-Vélez, J.C.; Dujmovic, H.; Dunkman, M.; DuVernois, M.A.; Dvorak, E.; Ehrhardt, T.; Eller, P.; Engel, R.; Erpenbeck, H.; Evans, J.; Evenson, P.A.; Fahey, S.; Fazely, A.R.; Fiedlschuster, S.; Fienberg, A.T.; Filimonov, K.; Finley, C.; Fischer, L.; Fox, D.; Franckowiak, A.; Friedman, E.; Fritz, A.; Fürst, P.; K. Gaisser, T.; Gallagher, J.; Ganster, E.; Garrappa, S.; Gerhardt, L.; Ghadimi, A.; Glaser, C.; Glauch, T.; Glüsenkamp, T.; Goldschmidt, A.; Gonzalez, J.G.; Goswami, S.; Grant, D.; Grégoire, T.; Griffith, Z.; Griswold, S.; Gündüz, M.; Günther, C.; Haack, C.; Hallgren, A.; Halliday, R.; Halve, L.; Halzen, F.; Ha Minh, M.; Hanson, K.; Hardin, J.; Harnisch, A.A.; Haungs, A.; Hauser, S.; Hebecker, D.; Helbing, K.; Henningsen, F.; Hettinger, E.C.; Hickford, S.; Hignight, J.; Hill, C.; Hill, G.C.; Hoffman, K.D.; Hoffmann, R.; Hoinka, T.; Hokanson-Fasig, B.; Hoshina, K.; Huang, F.; Huber, M.; Huber, T.; Hultqvist, K.; Hünnefeld, M.; Hussain, R.; In, S.; Iovine, N.; Ishihara, A.; Jansson, M.; Japaridze, G.S.; Jeong, M.; Jones, B.J.P.; Joppe, R.; Kang, D.; Kang, W.; Kang, X.; Kappes, A.; Kappesser, D.; Karg, T.; Karl, M.; Karle, A.; Katz, U.; Kauer, M.; Kellermann, M.; Kelley, J.L.; Kheirandish, A.; Kin, K.; Kintscher, T.; Kiryluk, J.; Klein, S.R.; Koirala, R.; Kolanoski, H.; Köpke, L.; Kopper, C.; Kopper, S.; Koskinen, D.J.; Koundal, P.; Kovacevich, M.; Kowalski, M.; Krings, K.; Kurahashi, N.; Kyriacou, A.; Lagunas Gualda, C.; Lanfranchi, J.L.; Larson, M.J.; Lauber, F.; Lazar, J.P.; Lee, J.W.; Leonard, K.; Leszczyńska, A.; Li, Y.; Liu, Q.R.; Lohfink, E.; Lozano Mariscal, C.J.; Lu, L.; Lucarelli, F.; Ludwig, A.; Luszczak, W.; Lyu, Y.; Ma, W.Y.; Madsen, J.; Mahn, K.B.M.; Makino, Y.; Mancina, S.; Mariş, I.C.; Maruyama, R.; Mase, K.; McNally, F.; Meagher, K.; Medina, A.; Meier, M.; Meighen-Berger, S.; Merz, J.; Micallef, J.; Mockler, D.; Montaruli, T.; Moore, R.W.; Morse, R.; Moulai, M.; Naab, R.; Nagai, R.; Naumann, U.; Necker, J.; Nguyễn, L.V.; Niederhausen, H.; Nisa, M.U.; Nowicki, S.C.; Nygren, D.R.; Obertacke Pollmann, A.; Oehler, M.; Olivas, A.; O'Sullivan, E.; Pandya, H.; Pankova, D.V.; Park, N.; Parker, G.K.; Paudel, E.N.; Paul, L.; Pérez de los Heros, C.; Philippen, S.; Pieloth, D.; Pieper, S.; Pizzuto, A.; Plum, M.; Popovych, Y.; Porcelli, A.; Prado Rodriguez, M.; Price, P.B.; Pries, B.; Przybylski, G.T.; Raab, C.; Raissi, A.; Rameez, M.; Rawlins, K.; Rea, I.C.; Rehman, A.; Reimann, R.; Renzi, G.; Resconi, E.; Reusch, S.; Rhode, W.; Richman, M.; Riedel, B.; Robertson, S.; Roellinghoff, G.; Rongen, M.; Rott, C.; Ruhe, T.; Ryckbosch, D.; Rysewyk Cantu, D.; Safa, I.; Saffer, J.; Sanchez Herrera, S.E.; Sandrock, A.; Sandroos, J.; Santander, M.; Sarkar, S.; Sarkar, S.; Satalecka, K.; Scharf, M.; Schaufel, M.; Schieler, H.; Schlunder, P.; Schmidt, T.; Schneider, A.; Schneider, J.; Schröder, F.G.; Schumacher, L.; Sclafani, S.; Seckel, D.; Seunarine, S.; Sharma, A.; Shefali, S.; Silva, M.; Skrzypek, B.; Smithers, B.; Snihur, R.; Soedingrekso, J.; Soldin, D.; Spiczak, G.M.; Spiering, C.; Stachurska, J.; Stamatikos, M.; Stanev, T.; Stein, R.; Stettner, J.; Steuer, A.; Stezelberger, T.; Stürwald, T.; Stuttard, T.; Sullivan, G.W.; Taboada, I.; Tenholt, F.; Ter-Antonyan, S.; Tilav, S.; Tischbein, F.; Tollefson, K.; Tomankova, L.; Tönnis, C.; Toscano, S.; Tosi, D.; Trettin, A.; Tselengidou, M.; Tung, C.F.; Turcati, A.; Turcotte, R.; Turley, C.F.; Twagirayezu, J.P.; Ty, B.; Unland Elorrieta, M.A.; Valtonen-Mattila, N.; Vandenbroucke, J.; van Eijk, D.; van Eijndhoven, N.; Vannerom, D.; van Santen, J.; Verpoest, S.; Vraeghe, M.; Walck, C.; Wallace, A.; Watson, T.B.; Weaver, C.; Weigel, P.; Weindl, A.; Weiss, M.J.; Weldert, J.; Wendt, C.; Werthebach, J.; Weyrauch, M.; Whelan, B.J.; Whitehorn, N.; Wiebusch, C.H.; Williams, D.R.; Wolf, M.; Woschnagg, K.; Wrede, G.; Wulff, J.; Xu, X.W.; Xu, Y.; Yanez, J.P.; Yoshida, S.; Yuan, T.; Zhang, Z.;
• Other Names: collab.
• Is Part Of: Journal of instrumentation. Volume 16:Number 8(2021)
• Publication Date: 2021-08-12
• Subjects: Cherenkov detectors -- Neutrino detectors -- Data analysis; Scientific apparatus and instruments -- Periodicals; 502.84
• DOI: 10.1088/1748-0221/16/08/P08034
• Languages: English
• ISSNs: 1748-0221

Abstract

Abstract: IceCube is a cubic-kilometer Cherenkov telescope operating at the South Pole. The main goal of IceCube is the detection of astrophysical neutrinos and the identification of their sources. High-energy muon neutrinos are observed via the secondary muons produced in charge current interactions with nuclei in the ice. Currently, the best performing muon track directional reconstruction is based on a maximum likelihood method using the arrival time distribution of Cherenkov photons registered by the experiment's photomultipliers. A known systematic shortcoming of the prevailing method is to assume a continuous energy loss along the muon track. However at energies >1 TeV the light yield from muons is dominated by stochastic showers. This paper discusses a generalized ansatz where the expected arrival time distribution is parametrized by a stochastic muon energy loss pattern. This more realistic parametrization of the loss profile leads to an improvement of the muon angular resolution of up to 20% for through-going tracks and up to a factor 2 for starting tracks over existing algorithms. Additionally, the procedure to estimate the directional reconstruction uncertainty has been improved to be more robust against numerical errors.