Cosmic-Ray Composition analysis at IceCube using Graph Neural Networks
P. Koundal*,
R. Abbasi,
M. Ackermann,
J. Adams,
N. Aggarwal,
J. Aguilar,
M. Ahlers, J.M. Alameddine, A.A. Alves Junior, N.M.B. Amin, K. Andeen, T. Anderson, G. Anton, C. Arguelles, Y. Ashida, S. Axani, X. Bai, A. Balagopal V, M. Baricevic, S. Barwick, V. Basu, R. Bay, J. Beatty, K.H. Becker, J. Becker Tjus, J. Beise, C. Bellenghi, S. BenZvi, D. Berley, E. Bernardini, D. Besson, G. Binder, D. Bindig, E. Blaufuss, S. Blot, F. Bontempo, J. Book, J. Borowka, C. Boscolo Meneguolo, S. Boser, O. Botner, J. Boettcher, E. Bourbeau, J. Braun, B. Brinson, J. Brostean-Kaiser, R.T. Burley, R. Busse, M. Campana, E. Carnie-Bronca, C. Chen, Z. Chen, D. Chirkin, S. Choi, B. Clark, L. Classen, A. Coleman, G. Collin, A. Connolly, J. Conrad, P. Coppin, P. Correa, S. Countryman, D. Cowen, C. Dappen, P. Dave, C. De Clercq, J. DeLaunay, D. Delgado Lopez, H. Dembinski, K. Deoskar, A. Desai, P. Desiati, K. de Vries, G. de Wasseige, T. DeYoung, A. Diaz, J.C. Diaz-Velez, M. Dittmer, H. Dujmovic, M. DuVernois, T. Ehrhardt, P. Eller, R. Engel, H. Erpenbeck, J. Evans, P. Evenson, K.L. Fan, A. Fazely, A. Fedynitch, N. Feigl, S. Fiedlschuster, A. Fienberg, C. Finley, L. Fischer, D.B. Fox, A. Franckowiak, E. Friedman, A. Fritz, P. Furst, T. Gaisser, J. Gallagher, E. Ganster, A. Garcia, S. Garrappa, L. Gerhardt, A. Ghadimi, C. Glaser, T. Glauch, T. Glusenkamp, N. Goehlke, J. Gonzalez, S. Goswami, D. Grant, S. Gray, T. Grégoire, S. Griffin, S. Griswold, C. Günther, P. Gutjahr, C. Haack, A. Hallgren, R. Halliday, L. Halve, F. Halzen, H. Hamdaoui, M. Ha Minh, K. Hanson, J. Hardin, A. Harnisch, P. Hatch, A. Haungs, K. Helbing, J. Hellrung, F. Henningsen, L.P. Heuermann, S. Hickford, A. Hidvegi, C. Hill, G. Hill, K. Hoffman, K. Hoshina, W. Hou, T. Huber, K. Hultqvist, M. Hunnefeld, R. Hussain, K. Hymon, S. In, N. Iovine, A. Ishihara, M. Jansson, G. Japaridze, M. Jeong, M. Jin, B. Jones, D. Kang, W. Kang, X. Kang, A. Kappes, D. Kappesser, L. Kardum, T. Karg, M. Karl, A. Karle, U. Katz, M. Kauer, J. Kelley, A. Kheirandish, K.i. Kin, J. Kiryluk, S. Klein, A. Kochocki, R. Koirala, H. Kolanoski, T. Kontrimas, L. Kopke, C. Kopper, J. Koskinen, M. Kovacevich, M. Kowalski, T. Kozynets, K. Kruiswijk, E. Krupczak, A. Kumar, E. Kun, N.K. Neilson, N.N. Lad, C. Lagunas Gualda, M. Lamoureux, M.J. Larson, F.H. Lauber, J. Lazar, J. Lee, K. Leonard DeHolton, A. Leszczynska, M. Lincetto, Q. Liu, M. Liubarska, E. Lohfink, C. Love, C.J. Lozano Mariscal, L. Lu, F. Lucarelli, A. Ludwig, W. Luszczak, Y. Lyu, W.Y. Ma, J. Madsen, K. Mahn, Y. Makino, S. Mancina, W. Marie Sainte, I.C. Maris, S. Marka, Z. Marka, M. Marsee, I. Martinez Soler, R.H. Maruyama, F. Mayhew, T. McElroy, F. McNally, J.V. Mead, K. Meagher, S. Mechbal, A. Medina, M. Meier, S.A. Meighen-Berger, Y. Merckx, L. Merten, J. Micallef, D. Mockler, T. Montaruli, R. Moore, Y. Morii, B. Morse, M. Moulai, T. Mukherjee, R. Naab, R. Nagai, U. Naumann, A. Nayerhoda, J. Necker, M. Neumann, H. Niederhausen, M. Nisa, A. Noell, S. Nowicki, A. Obertacke Pollmann, M. Oehler, B. Oeyen, A. Olivas, R. Orsoe, J. Osborn, E. O'Sullivan, H. Pandya, D. Pankova, N. Park, G. Parker, E.N. Paudel, L. Paul, C. Perez de los Heros, J. Peterson, S. Philippen, S. Pieper, A. Pizzuto, M. Plum, Y. Popovych, A. Porcelli, M. Prado Rodriguez, B. Pries, R. Procter-Murphy, G. Przybylski, C. Raab, J. Rack-Helleis, M. Rameez, K. Rawlins, Z. Rechav, A. Rehman, P. Reichherzer, G. Renzi, E. Resconi, S. Reusch, W. Rhode, M. Richman, B. Riedel, E. Roberts, S. Robertson, S.T. Rodan, G. Roellinghoff, M. Rongen, C. Rott, T. Ruhe, L. Ruohan, D. Ryckbosch, D. Rysewyk Cantu, S. Athanasiadou, I. Safa, J. Saffer, D. Salazar-Gallegos, P. Sampathkumar, S. Sanchez Herrera, A. Sandrock, M. Santander, S. Sarkar, S. Sarkar, J. Savelberg, P. Savina, M. Schaufel, H. Schieler, S. Schindler, B. Schluter, T. Schmidt, J. Schneider, F. Schröder, L.J. Schumacher, G. Schwefer, S. Sclafani, D. Seckel, S. Seunarine, A. Sharma, S. Shefali, N. Shimizu, M. Silva, B. Skrzypek, B. Smithers, R. Snihur, J. Soedingrekso, A. Sogaard, D. Soldin, C. Spannfellner, G. Spiczak, C. Spiering, M. Stamatikos, T. Stanev, R. Stein, T. Stezelberger, T. Sturwald, T. Stuttard, G. Sullivan, I. Taboada, S. Ter-Antonyan, W. Thompson, J. Thwaites, S. Tilav, K. Tollefson, C. Tönnis, S. Toscano, D. Tosi, A. Trettin, C.F. Tung, R. Turcotte, J.P. Twagirayezu, B. Ty, M. Unland Elorrieta, K. Upshaw, N. Valtonen-Mattila, J. Vandenbroucke, N. van Eijndhoven, D. Vannerom, J. van Santen, J. Vara, J. Veitch-Michaelis, S. Verpoest, D. Veske, C. Walck, T.B. Watson, C. Weaver, P. Weigel, A. Weindl, J. Weldert, C. Wendt, J. Werthebach, M. Weyrauch, N. Whitehorn, C. Wiebusch, N. Willey, D. Williams, M. Wolf, G. Wrede, J. Wulff, X. Xu, J.P. Yanez, E.B. Yildizci, S. Yoshida, S. Yu, T. Yuan, Z. Zhang, P. Zhelnin on behalf of the IceCube Collaborationet al. (click to show)*: corresponding author
Pre-published on:
November 15, 2023
Published on:
December 14, 2023
Abstract
The IceCube Neutrino Observatory is a multi-component detector embedded deep within the South-Pole Ice. This proceeding will discuss an analysis from an integrated operation of IceCube and its surface array, IceTop, to estimate cosmic-ray composition. The work will describe a novel graph neural network based approach for estimating the mass of primary cosmic rays, that takes advantage of signal-footprint information and reconstructed cosmic-ray air shower parameters. In addition, the work will also introduce new composition-sensitive parameters for improving the estimation of cosmic-ray composition, with the potential of improving our understanding of the high-energy muon content in cosmic-ray air showers.
DOI: https://doi.org/10.22323/1.423.0085
How to cite
Metadata are provided both in
article format (very
similar to INSPIRE)
as this helps creating very compact bibliographies which
can be beneficial to authors and readers, and in
proceeding format which
is more detailed and complete.
Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.