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Testing T2K’s Bayesian constraints with priors in alternate parameterisations
Akinori Abe, R. Akutsu, H. Alarakia-Charles, Y. I. Alj Hakim, S. Alonso Monsalve, L Anthony, S. Aoki, K. A. Apte, Takeshi Arai, T. Arihara, S. Arimoto, Yosuke Ashida, E.T Atkin, В. А. Баранов, G D I Barr, Paul A. Bates, L. Bathe-Peters, M. Batkiewicz, N. Baudis, V. Berardi, L. Berns, S. Bhattacharjee, Adrien Blanchet, A Blondel, P. M. M. Boistier, S. Bolognesi, S. Bordoni, C. Bronner, A. Bubak, M. Buizza Avanzini, J. A. Caballero, F. Cadoux, N. F. Calabria, D Carabadjac, S. L. Cartwright, M. P. Casado, M.G. Catanesi, J. Chakrani, Anne Chalumeau, D. Cherdack, P.S. Chong, A. Chvirova, J. P. Coleman, G Collazuol, F Cormier, A. A. L. Craplet, Andrew Cudd, D. D’Ago, C. Dalmazzone, T. Daret, Prokar Dasgupta, Yu. I. Davydov, P. de Perio, G. De Rosa, T. Dealtry, C Densham, A. Dergacheva, F. Di Lodovico, G. Lopez, Shimon Dolan, D. Douqa, T. A. Doyle, O Drapier, K.E Duffy, J. Dumarchez, P. Dunne, K Dygnarowicz, S. Emery-Schrenk, G. Erofeev, A. Ershova, G. Eurin, D. Fedorova, S. Fedotov, M Feltre, D. Ferlewicz, A.J. Finch, M. D. Fitton, C. Forza, M. Friend, Y. Fujii, Y. Fukuda, Yuji Furui, J. García-Marcos, A. C. Germer, L. Giannessi, C. Giganti, M Girgus, V. Glagolev, M. Gonin, R. González-Jiménez, J. González Rosa, E. A. G. Goodman, K. Gorshanov, Marco Grassi, M. Guigue, Flynn Guo, D. R. Hadley, S. Han, Dagan Harris, Randall J. Harris, T. Hasegawa, C. Hasnip, S. Hassani, N. C. Hastings, Y. Hayato, I. Heitkamp, D. Henaff, Y. Hino, J. Holeczek, A. Holin, T. Holvey, N. T. Hong Van, M. C. F. Hooft, K. Hosokawa, Jia Hu, A. K. Ichikawa, K. Ieki, Masahiro Ikeda, T. Ishida, M. Ishitsuka, Hiroshi Itô, Shigeaki Ito, A. Izmaylov, N. Jachowicz, S. J. Jenkins, C. Jesús-Valls, Meng Jia, Jiaming Jiang, Julie Y. Ji, Thomas Peter Jones, P. Jonsson, S.C. Joshi, M. Kabirnezhad, A.C Kaboth, H. Kakuno, J. Kameda, S. Karpova, V. S. Kasturi, Y. Kataoka, T. Katori, Aníbal Kawabata, Yuta Kawamura, M Kawaue, E. Kearns, M. Khabibullin, A. Khotjantsev, Stephen King, V. Kiseeva, J. Kisiel, A. Klustová, L. Kneale, Hiroaki Kobayashi, L. Koch, S. Kodama, M. Kolupanova, A. Konaka, L. L. Kormos, Y. Koshio, K. Kowalik, Y Kudenko, Yoko Kudo, A. Kumar Jha, R. Kurjata, V. Kurochka, T. Kutter, L. Labarga, Mário Lachat, K. Lachner, J. Łagoda, S.M Lakshmi, M. Lamers James, A. Langella, David Langridge, J. F. Laporte, D. Last, N Latham, M. Laveder, L Lavitola, M. Lawe, D. Leon Silverio, S. Levorato, S. Lewis, Bo Li, R. P. Litchfield, Songlin Liu, Wenjun Li, A. Longhin, A. Lopez Moreno, L. Ludovici, Xiaoting Lu, L. N. Machado, L. Magaletti, K. Mahn, K. K. Mahtani, Manisha Mandal, S. Manly, A. D. Marino, D. Martin, D.A. Martinez Caicedo, Lluisa Maria Mir Martínez, M. Martini, T. Matsubara, R. Matsumoto, V. Matveev, C. Mauger, K. Mavrokoridis, N. McCauley, K. S. McFarland, C. McGrew, A. Mefodiev, G. D. Megias, Lucile Mellet, C. Metelko, M. Mezzetto, S. Miki, V. Mikola, E. W. Miller, A Minamino, O. Mineev, S. Mine, J. Mirabito, M. Miura, S Moriyama, P. Morrison, Th. A. Mueller, D. Munford, Alfonso Muñoz, L. Munteanu, T. Nakadaira, K. Nakagiri, M. Nakahata, Y. Nakajima, Akira Nakano, Y. Nakano, S Nakayama, T. Nakaya, K. Nakayoshi, V.Q Nguyen, K. Niewczas, S Nishimori, Y. Nishimura, Y. Noguchi, T. Nosek, F. Nova, P. Novella, L. O’Sullivan, Ryuji Okazaki, W. Okinaga, K. Okumura, T. Okusawa, Nobuhiko Onda, N. Ospina, L. Osu, Niels F. Otani, Y. Oyama, V. Paolone, J. Pasternak, David A. Payne, L. Pickering, B. Popov, M. Posiadała-Zezula, Hari Prasad, F. Pupilli, B Quilain, E. Radicioni, B. Radics, Richard Ramsden, M. Reh, G. Anthony Reina, C. Riccio, E. Rondio, S. Roth, Niranjan Roy, A. Rubbia, L. Russo, A. Rychter, W. Saenz, K Sakashita, F. Sánchez, Yoshiyuki Satō, T. Schefke, K. Scholberg, Martin Scott, Y. Seiya, T. Sekiguchi, H. Sekiya, T. Sekiya, D. Seppala, D Sgalaberna, A Shaikhiev, M. Shiozawa, Yoshimitsu Shiraishi, A. Shvartsman, N. Skrobova, K. Skwarczynski, D. Smyczek, M. Smy, R Spina, P Stowell, Y. Stroke, AK Suzuki, M. Tada, S. Tairafune, A. Takeda, Koji TAKEYA, H. Tanigawa, N. Thamm, C. Touramanis, N. Tran, T Tsukamoto, M. Tzanov, M. R. Vagins, M Varghese, Igor Vasilyev, G. Vasseur, E. Villa, U. Virginet, Tomislav Vladisavljevic, T Wachala, S Wada, Daisuke Wakabayashi, R. A. Wendell, C Wilkinson, Katherine Wood, C. Wret, Jing Xia, K. Yamamoto, T. Yamamoto, C. Yanagisawa, T. Yano, N. Yershov, U Yevarouskaya, M. Yokoyama, Y Yoshimoto, Noriko Yoshimura, R. Zaki, A. Zalewska, J. Zalipska, G Zarnecki, Jian Zhang, Hairong Zheng, Hao Zhong, Tingge Zhu, M. Ziembicki, M. Zito, S. Zsoldos
Bibliographic record
VenueThe European Physical Journal C · 2025
Typearticle
Languageen
FieldComputer Science
TopicConstraint Satisfaction and Optimization
Canadian institutionsYork UniversityTRIUMFInstitute of Particle Physics
FundersFP7 Ideas: European Research CouncilH2020 European Research CouncilEuropean Regional Development FundStaatssekretariat für Bildung, Forschung und InnovationJapan Society for the Promotion of ScienceInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilNational Research Council CanadaNatural Sciences and Engineering Research Council of CanadaCommissariat à l'Énergie Atomique et aux Énergies AlternativesCentre National de la Recherche ScientifiqueNemzeti Kutatási Fejlesztési és Innovációs HivatalAgency for Cultural Affairs, Government of JapanUniversity of TokyoMinisterio de Ciencia, Tecnología e Innovación ProductivaCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaH2020 Marie Skłodowska-Curie ActionsSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCanada Foundation for InnovationCERNMinisterstwo Edukacji i NaukiCentres de Recerca de CatalunyaDeutsche ForschungsgemeinschaftUK Research and InnovationConsejería de Economía, Innovación, Ciencia y Empleo, Junta de AndalucíaRussian Science FoundationMinisterio de Ciencia, Tecnología e InnovaciónMinistry of Education, Culture, Sports, Science and TechnologyAgence Nationale de la Recherche“la Caixa” FoundationInstituto Nazionale di Fisica NucleareMinisterio de Ciencia e InnovaciónNarodowe Centrum NaukiU.S. Department of Energy
KeywordsOctant (instrument)Prior probabilityMixing (physics)Bayesian probabilityMatrix (chemical analysis)Symmetry (geometry)Bayesian inferencePreference
Abstract
Bayesian analysis results require a choice of prior distribution. In long-baseline neutrino oscillation physics, the usual parameterisation of the mixing matrix induces a prior that privileges certain neutrino mass and flavour state symmetries. Here we study the effect of privileging alternate symmetries on the results of the T2K experiment. We find that constraints on the level of CP violation (as given by the Jarlskog invariant) are robust under the choices of prior considered in the analysis. On the other hand, the degree of octant preference for the atmospheric angle depends on which symmetry has been privileged.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.030
metaresearch head score (Gemma)0.151
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.160
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.151 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Citations0
Published2025
Admission routes2
Has abstractyes