Abbasi R, Ackermann M, Adams J, Agarwalla SK, Aguilar JA, Ahlers M, Alameddine JM, Amin NM, Andeen K, Anton G, Argüelles C, Ashida Y, Athanasiadou S, Axani SN, Bai X, Balagopal AV, Baricevic M, Barwick SW, Basu V, Bay R, Beatty JJ, Becker Tjus J, Beise J, Bellenghi C, Benning C, BenZvi S, Berley D, Bernardini E, Besson DZ, Blaufuss E, Blot S, Bontempo F, Book JY, Boscolo Meneguolo C, Böser S, Botner O, Böttcher J, Bourbeau E, Braun J, Brinson B, Brostean-Kaiser J, Burley RT, Busse RS, Butterfield D, Campana MA, Carloni K, Carnie-Bronca EG, Chattopadhyay S, Chau N, Chen C, Chen Z, Chirkin D, Choi S, Clark BA, Classen L, Coleman A, Collin GH, Connolly A, Conrad JM, Coppin P, Correa P, Cowen DF, Dave P, De Clercq C, DeLaunay JJ, Delgado D, Deng S, Deoskar K, Desai A, Desiati P, de Vries KD, de Wasseige G, DeYoung T, Diaz A, Díaz-Vélez JC, Dittmer M, Domi A, Dujmovic H, DuVernois MA, Ehrhardt T, Eller P, Ellinger E, El Mentawi S, Elsässer D, Engel R, Erpenbeck H, Evans J, Evenson PA, Fan KL, Fang K, Farrag K, Fazely AR, Fedynitch A, Feigl N, Fiedlschuster S, Finley C, Fischer L, Fox D, Franckowiak A, Fritz A, Fürst P, Gallagher J, Ganster E, Garcia A, Gerhardt L, Ghadimi A, Glaser C, Glauch T, Glüsenkamp T, Goehlke N, Gonzalez JG, Goswami S, Grant D, Gray SJ, Gries O, Griffin S, Griswold S, Groth KM, Günther C, Gutjahr P, Haack C, Hallgren A, Halliday R, Halve L, Halzen F, Hamdaoui H, Ha Minh M, Hanson K, Hardin J, Harnisch AA, Hatch P, Haungs A, Helbing K, Hellrung J, Henningsen F, Heuermann L, Heyer N, Hickford S, Hidvegi A, Hill C, Hill GC, Hoffman KD, Hori S, Hoshina K, Hou W, Huber T, Hultqvist K, Hünnefeld M, Hussain R, Hymon K, In S, Ishihara A, Jacquart M, Janik O, Jansson M, Japaridze GS, Jeong M, Jin M, Jones BJ, Kang D, Kang W, Kang X, Kappes A, Kappesser D, Kardum L, Karg T, Karl M, Karle A, Katz U, Kauer M, Kelley JL, Khatee Zathul A, Kheirandish A, Kiryluk J, Klein SR, Kochocki A, Koirala R, Kolanoski H, Kontrimas T, Köpke L, Kopper C, Koskinen DJ, Koundal P, Kovacevich M, Kowalski M, Kozynets T, Krishnamoorthi J, Kruiswijk K, Krupczak E, Kumar A, Kun E, Kurahashi N, Lad N, Lagunas Gualda C, Lamoureux M, Larson MJ, Latseva S, Lauber F, Lazar JP, Lee JW, Leonard DeHolton K, Leszczyńska A, Lincetto M, Liu QR, Liubarska M, Lohfink E, Love C, Lozano Mariscal CJ, Lu L, Lucarelli F, Luszczak W, Lyu Y, Madsen J, Mahn KB, Makino Y, Manao E, Mancina S, Marie Sainte W, Mariş IC, Marka S, Marka Z, Marsee M, Martinez-Soler I, Maruyama R, Mayhew F, McElroy T, McNally F, Mead JV, Meagher K, Mechbal S, Medina A, Meier M, Merckx Y, Merten L, Micallef J, Mitchell J, Montaruli T, Moore RW, Morii Y, Morse R, Moulai M, Mukherjee T, Naab R, Nagai R, Nakos M, Naumann U, Necker J, Negi A, Neumann M, Niederhausen H, Nisa MU, Noell A, Novikov A, Nowicki SC, Obertacke Pollmann A, O’Dell V, Oehler M, Oeyen B, Olivas A, Ørsøe R, Osborn J, O’Sullivan E, Pandya H, Park N, Parker GK, Paudel EN, Paul L, Pérez de los Heros C, Peterson J, Philippen S, Pizzuto A, Plum M, Pontén A, Popovych Y, Prado Rodriguez M, Pries B, Procter-Murphy R, Przybylski GT, Raab C, Rack-Helleis J, Rawlins K, Rechav Z, Rehman A, Reichherzer P, Renzi G, Resconi E, Reusch S, Rhode W, Riedel B, Rifaie A, Roberts EJ, Robertson S, Rodan S, Roellinghoff G, Rongen M, Rott C, Ruhe T, Ruohan L, Ryckbosch D, Safa I, Saffer J, Salazar-Gallegos D, Sampathkumar P, Sanchez Herrera SE, Sandrock A, Santander M, Sarkar S, Sarkar S, Savelberg J, Savina P, Schaufel M, Schieler H, Schindler S, Schlickmann L, Schlüter B, Schlüter F, Schmeisser N, Schmidt T, Schneider J, Schröder FG, Schumacher L, Schwefer G, Sclafani S, Seckel D, Seikh M, Seunarine S, Shah R, Sharma A, Shefali S, Shimizu N, Silva M, Skrzypek B, Smithers B, Snihur R, Soedingrekso J, Søgaard A, Soldin D, Soldin P, Sommani G, Spannfellner C, Spiczak GM, Spiering C, Stamatikos M, Stanev T, Stezelberger T, Stürwald T, Stuttard T, Sullivan GW, Taboada I, Ter-Antonyan S, Thiesmeyer M, Thompson WG, Thwaites J, Tilav S, Tollefson K, Tönnis C, Toscano S, Tosi D, Trettin A, Tung CF, Turcotte R, Twagirayezu JP, Ty B, Unland Elorrieta MA, Upadhyay AK, Upshaw K, Valtonen-Mattila N, Vandenbroucke J, van Eijndhoven N, Vannerom D, van Santen J, Vara J, Veitch-Michaelis J, Venugopal M, Vereecken M, Verpoest S, Veske D, Vijai A, Walck C, Weaver C, Weigel P, Weindl A, Weldert J, Wendt C, Werthebach J, Weyrauch M, Whitehorn N, Wiebusch CH, Willey N, Williams DR, Witthaus L, Wolf A, Wolf M, Wrede G, Xu XW, Yanez JP, Yildizci E, Yoshida S, Young R, Yu F, Yu S, Yuan T, Zhang Z, Zhelnin P, Zimmerman M (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: Sissa Medialab Srl
Book Volume: 444
Conference Proceedings Title: Proceedings of Science
Event location: Nagoya, JPN
The IceCube Neutrino Observatory instruments a cubic-kilometer of glacial ice and has been the first experiment to identify high-energy astrophysical neutrinos. There are two main morphologies of IceCube events: tracks and cascades. Tracks result from muons, while cascades result from particle showers induced by in-ice interactions. The directional reconstruction of cascades is less precise than that of tracks, which limits the sensitivity of astrophysical neutrino analyses with cascade events. In order to improve the directional reconstruction of cascade events, accurate ice modeling is essential. However, potential biases might exist in data stemming from unconstrained systematic uncertainties. In this work, feasibility studies to better understand the ice using a data-driven approach are performed, where photons that are likely to have been induced by the hadronic cascade part of muon neutrino charged-current interactions are categorized using probability density functions in time, distance and angle, and the reconstructed direction with this pseudo-cascade is compared with the track direction. In this proceedings, methodology and results are detailed and a path towards better understanding of the ice is discussed.
APA:
Abbasi, R., Ackermann, M., Adams, J., Agarwalla, S.K., Aguilar, J.A., Ahlers, M.,... Zimmerman, M. (2024). Data-based evaluation of direction reconstruction for IceCube cascade events by utilizing starting tracks. In Proceedings of Science. Nagoya, JPN: Sissa Medialab Srl.
MLA:
Abbasi, R., et al. "Data-based evaluation of direction reconstruction for IceCube cascade events by utilizing starting tracks." Proceedings of the 38th International Cosmic Ray Conference, ICRC 2023, Nagoya, JPN Sissa Medialab Srl, 2024.
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