Data-based evaluation of direction reconstruction for IceCube cascade events by utilizing starting tracks

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

Journal

Publisher: Sissa Medialab Srl

Book Volume: 444

Conference Proceedings Title: Proceedings of Science

Event location: Nagoya, JPN

Abstract

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.

Authors with CRIS profile

Involved external institutions

Uppsala University Sweden (SE) University of Kansas (KU) United States (USA) (US) University of Wisconsin - Madison United States (USA) (US) University of Maryland United States (USA) (US) Michigan State University United States (USA) (US) Deutsches Elektronen-Synchrotron DESY Germany (DE) Vrije Universiteit Brussel (VUB) Belgium (BE) Karlsruhe Institute of Technology (KIT) Germany (DE) Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen Germany (DE) Université Catholique de Louvain (UCL) Belgium (BE) Harvard University United States (USA) (US) University of Padua / Universita degli Studi di Padova Italy (IT) Johannes Gutenberg-Universität Mainz (JGU) Germany (DE) University of Rochester (UR) United States (USA) (US) Massachusetts Institute of Technology (MIT) United States (USA) (US) Niels Bohr Institute / Niels Bohr Institutet Denmark (DK) University of Adelaide Australia (AU) Université libre de Bruxelles (ULB) / Free University of Brussels Belgium (BE) Technische Universität Dortmund Germany (DE) Georgia Institute of Technology United States (USA) (US) Westfälische Wilhelms-Universität (WWU) Münster Germany (DE) State University of New York at Albany (UNY Albany / UAlbany) United States (USA) (US) Technische Universität München (TUM) Germany (DE) Southern University and A&M College (SUBR) United States (USA) (US) Bergische Universität Wuppertal Germany (DE) Queen's University Canada (CA) Ruhr-Universität Bochum (RUB) Germany (DE) The Oskar Klein Centre Sweden (SE) Chiba University / 千葉大学 Japan (JP) The University of Alabama United States (USA) (US) Drexel University United States (USA) (US) Humboldt-Universität zu Berlin Germany (DE) Sungkyunkwan University (SKKU) Korea, Republic of (KR) University of Delaware (UDEL) United States (USA) (US) University of Alberta Canada (CA) South Dakota School of Mines and Technology United States (USA) (US) Lawrence Berkeley National Laboratory (LBNL) United States (USA) (US) University of Alaska Anchorage (UAA) United States (USA) (US) Universiteit Gent (UGent) / Ghent University Belgium (BE) University of California, Berkeley United States (USA) (US) University of Utah United States (USA) (US) University of Oxford United Kingdom (GB) Pennsylvania State University (Penn State) United States (USA) (US) Loyola University Chicago United States (USA) (US) University of Canterbury New Zealand (NZ) Ohio State University United States (USA) (US) University of California Irvine United States (USA) (US) Marquette University United States (USA) (US) Clark Atlanta University United States (USA) (US) Institute of Physics, Academia Sinica / 中央研究院物理研究所 Taiwan (TW) University of Texas at Arlington (UTA) United States (USA) (US) University of Geneva / Université de Genève (UNIGE) Switzerland (CH) University of Nevada Las Vegas United States (USA) (US) Columbia University United States (USA) (US) Yale University United States (USA) (US) Mercer University United States (USA) (US) University of Wisconsin-River Falls United States (USA) (US)

How to cite

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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