A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors

Abbasi R, Ackermann M, Adams J, Aguilar JA, Ahlers M, Ahrens M, Alispach C, Alves AA, Amin NM, An R, Andeen K, Anderson T, Ansseau I, Anton G, Argüelles C, Axani S, Bai X, Balagopal V. A, Barbano A, Barwick SW, Bastian B, Basu V, Baur S, Bay R, Beatty JJ, Becker KH, Becker Tjus J, Bellenghi C, Benzvi S, Berley D, Bernardini E, Besson DZ, 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 RS, Campana MA, Chen C, Chirkin D, Choi K, Clark BA, Clark K, Classen L, Coleman A, Collin GH, Conrad JM, Coppin P, Correa P, Cowen DF, Cross R, Dave P, De Clercq C, Delaunay JJ, Dembinski H, Deoskar K, De Ridder S, Desai A, Desiati P, De Vries KD, De Wasseige G, De With M, Deyoung T, Dharani S, Diaz A, Díaz-Vélez JC, Dujmovic H, Dunkman M, Duvernois MA, Dvorak E, Ehrhardt T, Eller P, Engel R, Erpenbeck H, Evans J, Evenson PA, Fahey S, Fazely AR, Fiedlschuster S, Fienberg AT, 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 JG, 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 AA, Haungs A, Hauser S, Hebecker D, Helbing K, Henningsen F, Hettinger EC, Hickford S, Hignight J, Hill C, Hill GC, Hoffman KD, 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 GS, Jeong M, Jones BJ, 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 JL, Kheirandish A, Kin K, Kintscher T, Kiryluk J, Klein SR, Koirala R, Kolanoski H, Köpke L, Kopper C, Kopper S, Koskinen DJ, Koundal P, Kovacevich M, Kowalski M, Krings K, Kurahashi N, Kyriacou A, Lagunas Gualda C, Lanfranchi JL, Larson MJ, Lauber F, Lazar JP, Lee JW, Leonard K, Leszczyńska A, Li Y, Liu QR, Lohfink E, Lozano Mariscal CJ, Lu L, Lucarelli F, Ludwig A, Luszczak W, Lyu Y, Ma WY, Madsen J, Mahn KB, Makino Y, Mancina S, Mariş IC, Maruyama R, Mase K, McNally F, Meagher K, Medina A, Meier M, Meighen-Berger S, Merz J, Micallef J, Mockler D, Montaruli T, Moore RW, Morse R, Moulai M, Naab R, Nagai R, Naumann U, Necker J, Nguyn LV, Niederhausen H, Nisa MU, Nowicki SC, Nygren DR, Obertacke Pollmann A, Oehler M, Olivas A, O'Sullivan E, Pandya H, Pankova DV, Park N, Parker GK, Paudel EN, 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 PB, Pries B, Przybylski GT, Raab C, Raissi A, Rameez M, Rawlins K, Rea IC, 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 SE, 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 FG, 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 GM, Spiering C, Stachurska J, Stamatikos M, Stanev T, Stein R, Stettner J, Steuer A, Stezelberger T, Stürwald T, Stuttard T, Sullivan GW, 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 CF, Turcati A, Turcotte R, Turley CF, Twagirayezu JP, Ty B, Unland Elorrieta MA, 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 TB, Weaver C, Weigel P, Weindl A, Weiss MJ, Weldert J, Wendt C, Werthebach J, Weyrauch M, Whelan BJ, Whitehorn N, Wiebusch CH, Williams DR, Wolf M, Woschnagg K, Wrede G, Wulff J, Xu XW, Xu Y, Yanez JP, Yoshida S, Yuan T, Zhang Z (2021)


Publication Type: Journal article

Publication year: 2021

Journal

Book Volume: 16

Article Number: P08034

Journal Issue: 8

DOI: 10.1088/1748-0221/16/08/P08034

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.

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How to cite

APA:

Abbasi, R., Ackermann, M., Adams, J., Aguilar, J.A., Ahlers, M., Ahrens, M.,... Zhang, Z. (2021). A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors. Journal of Instrumentation, 16(8). https://doi.org/10.1088/1748-0221/16/08/P08034

MLA:

Abbasi, R., et al. "A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors." Journal of Instrumentation 16.8 (2021).

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