Citizen science for IceCube: Name that Neutrino

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Názov: Citizen science for IceCube: Name that Neutrino
Autori: Abbasi, R., Ackermann, M., Adams, J., Agarwalla, S. K., Aguilar, J.A., Ahlers, M., Alameddine, J. M., Amin, N.M., Andeen, K., Anton, G., Argüelles, C., Ashida, Y., Athanasiadou, S., Ausborm, L., Axani, S. N., Bai, X., Balagopal, A. V., Baricevic, M., Barwick, S.W., Basu, V., Bay, R., Beatty, J.J., Tjus, Julia, 1979, Beise, J., Bellenghi, C., Benning, C., Benzvi, S., Berley, D., Bernardini, E., Besson, D. Z., Blaufuss, E., Blot, S., Bontempo, F., Book, J. Y., Boscolo Meneguolo, C., Böser, S., Botner, O., Böttcher, J., Braun, J., Brinson, B., Brostean-Kaiser, J., Brusa, L., Burley, R. T., Busse, R.S., Butterfield, D., Campana, M.A., Caracas, I., Carloni, K., Carpio, J., Chattopadhyay, S., Chau, N., Chen, C., Chen, Z., Chirkin, D., Choi, S., Clark, B.A., Coleman, A., Collin, G.H., Connolly, A., Conrad, J.M., Coppin, P., Corley, R., Correa, P., Cowen, D. F., Dave, P., De Clercq, C., Delaunay, J.J., Delgado, D., Deng, S., Deoskar, K., Desai, A., Desiati, P., De Vries, K. D., De Wasseige, G., Deyoung, T., Diaz, A., Díaz-Vélez, J. C., Dittmer, M., Domi, A., Draper, L., Dujmovic, H., Duvernois, M. A., Ehrhardt, T., Eimer, A., Eller, P., Ellinger, E., El Mentawi, S., Elsaesser, D., Engel, R., Erpenbeck, H., Evans, J., Evenson, P.A., Fan, K.L., Fang, K., Farrag, K., Fazely, A. R., Fedynitch, A., Feigl, N., Fiedlschuster, S., Finley, C., Fischer, L., Fox, D., Franckowiak, A., Fürst, P., Gallagher III, J. S., Ganster, E., Garcia, A., Gerhardt, L., Ghadimi, A., Girard-Carillo, C., Glaser, C., Glüsenkamp, T., Gonzalez, J.G., Goswami, S., Granados, A., Grant, D., Gray, S.J., Gries, O., Griffin, S., Griswold, S., Groth, K.M., Günther, C., Gutjahr, P., Ha, C., Haack, C., Hallgren, A., Halliday, R., Halve, L., Halzen, F., Hamdaoui, H., Ha Minh, M., Handt, M., Hanson, K., Hardin, J., Harnisch, A.A., Hatch, P., Haungs, A., Häußler, J., Helbing, K., Hellrung, J., Hermannsgabner, J., Heuermann, L., Heyer, N., Hickford, S., Hidvegi, A., Hill, C., Hill, G.C., Hoffman, K.D., Hori, S., Hoshina, K., Hou, W., Huber, T., Hultqvist, K., Hünnefeld, M., Hussain, R., Hymon, K., Ishihara, A., Iwakiri, W., Jacquart, M., Janik, O., Jansson, M., Japaridze, G.S., Jeong, M., Jin, M., Jones, B.J.P., Kamp, N., Kang, D., Kang, W., Kang, X., Kappes, A., Kappesser, D., Kardum, L., Karg, T., Karl, M., Karle, A., Katil, A., Katz, U., Kauer, M., Kelley, J.L., Khanal, M., Khatee Zathul, A., Kheirandish, A., Kiryluk, J., Klein, S.R., Kochocki, A., Koirala, R., Kolanoski, H., Kontrimas, T., Köpke, L., Kopper, C., Koskinen, D.J., Koundal, P., Kovacevich, M., Kowalski, M., Kozynets, T., Krishnamoorthi, J., Kruiswijk, K., Krupczak, E., Kumar, A., Kun, Emma, Kurahashi, N., Lad, N., Lagunas Gualda, C., Lamoureux, M., Larson, M.J., Latseva, S., Lauber, F., Lazar, J.P., Lee, J.W., Deholton, K. Leonard, Leszczyńska, A., Lincetto, M., Liubarska, M., Lohfink, E., Love, C., Lozano Mariscal, C.J., Lu, L., Lucarelli, F., Luszczak, W., Lyu, Y., Madsen, J., Magnus, E., Mahn, K.B.M., Makino, Y., Manao, E., Mancina, S., Marie Sainte, W., Mariş, I.C., Marka, S., Marka, Z., Marsee, M., Martinez-Soler, I., Maruyama, R., Mayhew, F., McElroy, T., McNally, F., Mead, J.V., Meagher, K., Mechbal, S., Medina, A., Meier, M., Merckx, Y., Merten, L., Micallef, J., Mitchell, J., Montaruli, T., Moore, R. W., 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, M.U., Noell, A., Novikov, A., Nowicki, S.C., Obertacke Pollmann, A., O’Dell, V., Oeyen, B., Olivas, A., Orsoe, R., Osborn, J., O'Sullivan, E., Pandya, H., Park, N., Parker, G.K., Paudel, E.N., Paul, L., Pérez de los Heros, C., Pernice, T., Peterson, J., Philippen, S., Pizzuto, A., Plum, M., Pontén, A., Popovych, Y., Prado Rodriguez, M., Pries, B., Procter-Murphy, R., Przybylski, G.T., Raab, C., Rack-Helleis, J., Rawlins, K., Rechav, Z., Rehman, A., Reichherzer, P., Resconi, E., Reusch, S., Rhode, W., Riedel, B., Rifaie, A., Roberts, E.J., Robertson, S., Rodan, S., Roellinghoff, G., Rongen, M., Rosted, A., Rott, C., Ruhe, T., Ruohan, L., Ryckbosch, D., Safa, I., Saffer, J., Salazar-Gallegos, D., Sampathkumar, P., Sandrock, A., Santander, M., Sarkar, S., Savelberg, J., Savina, P., Schaufel, M., Schieler, H., Schindler, S., Schlüter, B., Schlüter, F., Schmeisser, N., Schmidt, T., Schneider, J., Schröder, F.G., Schumacher, L., Sclafani, S., Seckel, D., Seikh, M., Seo, M., Seunarine, S., Shah, R., 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, G.M., Spiering, C., Stamatikos, M., Stanev, T., Stezelberger, T., Stürwald, T., Stuttard, T., Sullivan, G.W., Taboada, I., Ter-Antonyan, S., Terliuk, A., Thiesmeyer, M., Thompson, W.G., Thwaites, J., Tilav, S., Tollefson, K., Tönnis, C., Toscano, S., Tosi, D., Trettin, A., Tung, C.F., Turcotte, R., Twagirayezu, J.P., Unland Elorrieta, M.A., Upadhyay, A.K., Upshaw, K., Vaidyanathan, A., 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., Warrick, E.H.S., Walck, C., Weaver, C., Weigel, P., Weindl, A., Weldert, J., Wen, A.Y., Wendt, C., Werthebach, J., Weyrauch, M., Whitehorn, Nathan, Wiebusch, C.H., Williams, D.R., Witthaus, L., Wolf, A., Wolf, M., Wrede, G., Xu, X.W., Yanez, J.P., Yildizci, E., Yoshida, S., Young, R., Yu, S., Yuan, T., Zhang, Z., Zhelnin, P., Zilberman, P., Zimmerman, M.
Zdroj: European Physical Journal Plus. 139(6)
Popis: Name that Neutrino is a citizen science project where volunteers aid in classification of events for the IceCube Neutrino Observatory, an immense particle detector at the geographic South Pole. From March 2023 to September 2023, volunteers did classifications of videos produced from simulated data of both neutrino signal and background interactions. Name that Neutrino obtained more than 128,000 classifications by over 1800 registered volunteers that were compared to results obtained by a deep neural network machine-learning algorithm. Possible improvements for both Name that Neutrino and the deep neural network are discussed.
Popis súboru: electronic
Prístupová URL adresa: https://research.chalmers.se/publication/541685
https://research.chalmers.se/publication/541685/file/541685_Fulltext.pdf
Databáza: SwePub
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