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Supernova Model Discrimination with Hyper-Kamiokande
K. Abe, P. Adrich, H. Aihara, R. Akutsu, I. Yu. Alekseev, A. Ali, F. Ameli, I. M. Anghel, L. H. V. Anthony, M. Antonova, A. Araya, Y. Asaoka, Yosuke Ashida, V. Aushev, F. Ballester, I. Bandac, M. Barbi, Gareth J. Barker, G. Barr, M. Batkiewicz, M. Bellato, V. Berardi, M. Bergevin, L. Bernard, E. Bernardini, L. Berns, S. Bhadra, J. M. Bian, Adrien Blanchet, F. d. M. Blaszczyk, A. Blondel, A. Boiano, S. Bolognesi, L. Bonavera, N. Booth, S. Borjabad, T. Boschi, D. Bose, S. B. Boyd, C. Bozza, A. Bravar, D. Bravo, C. Bronner, Louise Brown, A. Bubak, A. Buchowicz, M. Buizza Avanzini, F. Cafagna, N. F. Calabria, J. M. Calvo-Mozota, S. Cao, S. L. Cartwright, A. Carroll, M. G. Catanesi, S. Cebrián, Mariusz Chabera, S. Chakraborty, C. Checchia, J. H. Choi, Sandhya Choubey, M. Cicerchia, J. P. Coleman, G. Collazuol, L. Cook, G. Cowan, S. Cuen-Rochin, M. Danilov, G. Lopez, E. De la Fuente, P. de Perio, G. De Rosa, T. Dealtry, Chris Densham, A. Dergacheva, N. Deshmukh, Moon Moon Devi, F. Di Lodovico, P. Di Meo, I. Di Palma, T. A. Doyle, E. Drakopoulou, O. Drapier, J. Dumarchez, P. Dunne, M. Dziewiecki, L. Eklund, S. El Hedri, John Ellis, S. Emery, A. Esmaili, A. Evangelisti, M. Feely, S. Fedotov, J. Feng, P. Fernández, E. Fernández-Martínez, P. Ferrario, B. Ferrazzi, T. Feusels, A.J. Finch, C. Finley, A. Fiorentini, G. Fiorillo, M. Fitton, K. Frankiewicz, M. Friend, Y. Fujii, Y. Fukuda, G. Galiński, J. Gao, C. S. Garde, A. Garfagnini, S. Garode, L. Gialanella, C. Giganti, J.J. Gómez-Cadenas, M. Gonin, J. González-Nuevo, A. Gorin, R. Gornea, V. Gousy-Leblanc, F. Gramegna, M. Grassi, G. Grella, M. Guigue, P. Gumplinger, D. R. Hadley, Masayuki Harada, B. L. Hartfiel, M. Hartz, S. Hassani, N. C. Hastings, Y. Hayato, V. Herrero, J. Hill, K. Hiraide, S. Hirota, A. Holin, Shunsaku Horiuchi, K. Hoshina, K. Hultqvist, F. Iacob, A. K. Ichikawa, W. Idrissi Ibnsalih, T Iijima, M. Ikeda, M. Inomoto, K. Inoue, J. Insler, Ara Ioannisian, Toru Ishida, K. Ishidoshiro, H. Ishino, M. Ishitsuka, Hiroshi Itô, S. Ito, Y. Itow, K. Iwamoto, A. Izmaylov, N. Izumi, S. Izumiyama, M. Jakkapu, B. Jamieson, H. I. Jang, J. S. Jang, S. J. Jenkins, S. H. Jeon, M. Jiang, H. S. Jo, P. Jonsson, K. K. Joo, T. Kajita, H. Kakuno, J. Kameda, Y. Kano, P. Kalaczyński, D. Karlen, J. Kasperek, Y. Kataoka, A. Kato, T. Katori, Narine Kazarian, E. Kearns, M. Khabibullin, A. Khotjantsev, T. Kikawa, M. Kekic, J. H. Kim, J. Y. Kim, S. B. Kim, Stefan Y. Kim, S. King, T. Kinoshita, J. Kisiel, A. Klekotko, T. Kobayashi, L. Koch, M. Koga, L. Koerich, Nikolay Ivanov Kolev, A. Konaka, L. L. Kormos, Y. Koshio, A. Korzenev, Y. Kotsar, Konstantin Kouzakov, K. Kowalik, L. Kravchuk, A. P. Kryukov, Y. Kudenko, T. Kumita, R. Kurjata, T. Kutter, M. Kuze, K. Kwak, M. La Commara, L. Labarga, J. Łagoda, M. Lamers James, M. Lamoureux, M. Laveder, Luigi Lavitola, M. Lawe, J. G. Learned, J. Lee, R. Leitner, V. Lezaun, I. T. Lim, T. Lindner, R. P. Litchfield, K. Long, A. Longhin, P.F. Loverre, X.-G. Lu, L. Ludovici, Y. Maekawa, L. Magaletti, K. Magar, K. Mahn, Y. Makida, M. Malek, Michal Malinský, T. Marchi, L. Maret, C. Mariani, A. Marinelli, K. Martens, Ll. Marti, D. Martin, J. Marzec, T. Matsubara, R. Matsumoto, S. Matsuno, M. Matusiak, E. Mazzucato, M. McCarthy, N. McCauley, J. McElwee, C. McGrew, A. Mefodiev, Abinash Medhi, P. Mehta, Lucile Mellet, H. Menjo, P. Mermod, C. Metelko, M. Mezzetto, J. Migenda, P. Migliozzi, P. Mijakowski, S. Miki, E. W. Miller, H. Minakata, A. Minamino, S. Mine, O. Mineev, Ayan Mitra, M. Miura, Reetanjali Moharana, C.M. Mollo, T. Mondal, M. Mongelli, F. Monrabal, D. H. Moon, C. S. Moon, Francisco Mora, S. Moriyama, Th. A. Mueller, L. Munteanu, Kohta Murase, Y. Nagao, T. Nakadaira, K. Nakagiri, M. Nakahata, S. Nakai, Y. Nakajima, K. Nakamura, KI. Nakamura, Hiroki Nakamura, Y. Nakano, T. Nakaya, S. Nakayama, K. Nakayoshi, L. N. Machado, C. E. R. Naseby, B. Navarro-Garcia, M. Needham, T. Nicholls, K. Niewczas, Y. Nishimura, E. Noah, F. Nova, J. C. Nugent, H. Nunokawa, Wojciech Obrębski, J. P. Ochoa‐Ricoux, Evan O’Connor, N. Ogawa, T. Ogitsu, K. Ohta, Ken‐ichi Okamoto, H. M. O’Keeffe, K. Okumura, Y. Onishchuk, Felipe de Jesús Orozco-Luna, A. Oshlianskyi, N. Ospina, M. Ostrowski, Erin O’Sullivan, L. O’Sullivan, T. Ovsiannikova, Y. Oyama, H. Ozaki, M. Y. Pac, Pascal Paganini, V. Palladino, V. Paolone, M. Pari, S. Parsa, J. Pasternak, C. Pastore, Grzegorz Pastuszak, D. A. Patel, M. Pavin, D. Payne, C. Peña‐Garay, C. Pidcott, E. Pinzon Guerra, S. Playfer, B. W. Pointon, A. Popov, B. Popov, K. Porwit, M. Posiadała-Zezula, J.-M. Poutissou, J. Pozimski, G. Pronost, N. W. Prouse, P. Przewłocki, B. Quilain, Alexander Arguello Quiroga, E. Radicioni, B. Radics, P. Rajda, J. Renner, M. Rescigno, F. Retière, Giulia Ricciardi, C. Riccio, B. Richards, E. Rondio, H. J. Rose, B. Roskovec, S. Roth, C. Rott, S.D. Rountree, A. Rubbia, A. C. Ruggeri, C. A. Ruggles, S. Russo, A. Rychter, Dongsu Ryu, K. Sakashita, S. Samani, F. Sánchez, M.L. Sánchez, Manuel Carlos Fernández Sánchez, S. Sano, Joana Santos, G. Santucci, Prantik Sarmah, I. Sashima, K. Satô, M. Scott, Y. Seiya, T. Sekiguchi, H. Sekiya, J. W. Seo, H. Seo, D. Sgalaberna, A. Shaikhiev, Ziheng Shan, A. Shaykina, I. Shimizu, C. D. Shin, M. Shinoki, M. Shiozawa, G. Sinnis, N. Skrobova, K. Skwarczynski, Michael Smy, J. T. Sobczyk, H. W. Sobel, Y. Sonoda, R Spina, B. Spisso, P. Spradlin, Konstantin Stankevich, Ł. Stawarz, S. M. Stellacci, K Stopa, Alexander Studenikin, Sergio Luis Suárez Gómez, T. Suganuma, S. Suvorov, Yudai Suwa, Atsumu Suzuki, S. Suzuki, Y. Suzuki, D. N. Svirida, R. Svoboda, M. Taani, M. Tada, A. Takeda, Y. Takemoto, A. Takenaka, A. Taketa, Y. Takeuchi, Volodymyr Takhistov, Hidekazu Tanaka, H. A. Tanaka, Hidekazu Tanaka, M. Tanaka, T. Tashiro, M. D. Thiesse, L.F. Thompson, J.F. Toledo, A. K. Tomatani-Sánchez, G. Tortone, K. M. Tsui, T. Tsukamoto, M. Tzanov, Y. Uchida, M. R. Vagins, S. Valder, Vincenzo Valentino, G. Vasseur, A. Vijayvargi, C. Vilela, W. G. S. Vinning, D. Vivolo, T. Vladisavljevic, R. B. Vogelaar, Maxim Vyalkov, T. Wachala, J. Walker, D. Wark, M. O. Wascko, R. A. Wendell, R. J. Wilkes, M. J. Wilking, J. R. Wilson, S. Wronka, J. Xia, Z. Xie, T. Xin, Y. Yamaguchi, K. Yamamoto, C. Yanagisawa, T. Yano, S. Yen, N. Yershov, D. Yeum, M. Yokoyama, M. Yonenaga, J. Yoo, I. Yu, M. Yu, T. Zakrzewski, Bryan Zaldívar, J. Zalipska, К. Заремба, G. Żarnecki, M. Ziembicki, Krzysztof Ziȩtara, M. Zito, S. Zsoldos
Bibliographic record
VenueThe Astrophysical Journal · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Cosmic Phenomena
Canadian institutionsBritish Columbia Institute of TechnologyUniversity of TorontoUniversity of WinnipegYork UniversityUniversity of British ColumbiaUniversity of VictoriaUniversity of ReginaCarleton UniversityTRIUMF
FundersScience and Technology Facilities CouncilConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorJapan Society for the Promotion of ScienceMinistry of Science, ICT and Future PlanningRussian Foundation for Basic ResearchMinistry of Education, Culture, Sports, Science and TechnologyHorizon 2020 Framework ProgrammeUK Research and Innovation
KeywordsPhysicsSupernovaNeutrinoAstrophysicsAstronomyType II supernovaNeutrino detectorAccretion (finance)Neutron starNeutrino oscillationParticle physics
Abstract
Abstract Core-collapse supernovae are among the most magnificent events in the observable universe. They produce many of the chemical elements necessary for life to exist and their remnants—neutron stars and black holes—are interesting astrophysical objects in their own right. However, despite millennia of observations and almost a century of astrophysical study, the explosion mechanism of core-collapse supernovae is not yet well understood. Hyper-Kamiokande is a next-generation neutrino detector that will be able to observe the neutrino flux from the next galactic core-collapse supernova in unprecedented detail. We focus on the first 500 ms of the neutrino burst, corresponding to the accretion phase, and use a newly-developed, high-precision supernova event generator to simulate Hyper-Kamiokande's response to five different supernova models. We show that Hyper-Kamiokande will be able to distinguish between these models with high accuracy for a supernova at a distance of up to 100 kpc. Once the next galactic supernova happens, this ability will be a powerful tool for guiding simulations toward a precise reproduction of the explosion mechanism observed in nature.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.460
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.012
GPT teacher head0.219
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations81
Published2021
Admission routes1
Has abstractyes