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Record W4415488016 · doi:10.1103/wcn1-4tyl

Signal selection and model-independent extraction of the neutrino neutral-current single <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:msup> <mml:mi>π</mml:mi> <mml:mo>+</mml:mo> </mml:msup> </mml:math> cross section with the T2K experiment

2025· article· en· W4415488016 on OpenAlexafffund
K. Abe, Shinya Abe, R. Akutsu, H. Alarakia-Charles, Y. I. Alj Hakim, S. Alonso Monsalve, L. Anthony, S. Aoki, K. A. Apte, Tamio Arai, T. Arihara, S. Arimoto, Yosuke Ashida, E. T. Atkin, N. Kishore Babu, В. А. Баранов, Gareth J. Barker, G. Barr, Daniel L. Barrow, Paul Bates, L. Bathe-Peters, M. Batkiewicz, N. Baudis, V. Berardi, L. Berns, S. Bhattacharjee, Adrien Blanchet, A. Blondel, S. Bolognesi, S. Bordoni, S. B. Boyd, C. Bronner, A. Bubak, M. Buizza Avanzini, J. A. Caballero, F. Cadoux, N. F. Calabria, S. Cao, S. Cap, D. Carabadjac, S. L. Cartwright, M. P. Casado, M G Catanesi, J. Chakrani, Anne Chalumeau, A. Chvirova, G Collazuol, F Cormier, A. A. L. Craplet, A. Cudd, D. D’Ago, C. Dalmazzone, T. Daret, Prokar Dasgupta, C. Davis, Yu. I. Davydov, G. De Rosa, T. Dealtry, C. Densham, A. Dergacheva, Rajat Banerjee, F. Di Lodovico, G. Lopez, S. Dolan, D. Douqa, T. A. Doyle, O. Drapier, K. E. Duffy, J. Dumarchez, P. Dunne, K. Dygnarowicz, A. Eguchi, J. E. Elias, S. Emery-Schrenk, G. Erofeev, A. Ershova, G. Eurin, D. Fedorova, S. Fedotov, M. Feltre, L. Feng, D. Ferlewicz, A. J. Finch, M. D. Fitton, C. Forza, M. Friend, Y. Fujii, Y. Fukuda, Y. Furui, J. García-Marcos, A. C. Germer, L. Giannessi, C. Giganti, V. Glagolev, M. Gonin, R. González-Jiménez, J. González Rosa, E. A. G. Goodman, K. Gorshanov, P. Govindaraj, Marco Grassi, M. Guigue, Flynn Guo, D. R. Hadley, S. Han, D. A. Harris, Robert J. Harris, T. Hasegawa, Ciaran Hasnip, S. Hassani, N. C. Hastings, Y. Hayato, I. Heitkamp, D. Henaff, Y. Hino, J. Holeczek, A. Holin, T. Holvey, N. T. Hong Van, Takashi Honjo, M. C. F. Hooft, K. Hosokawa, J. F. Hu, A. K. Ichikawa, K. Ieki, Masayuki Ikeda, Toru Ishida, M. Ishitsuka, A. Izmaylov, N. Jachowicz, S. J. Jenkins, C. Jesús-Valls, M. Jia, Jing 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, Yuta Kawamura, M. Kawaue, E. Kearns, M. Khabibullin, A. Khotjantsev, T. Kikawa, S. King, V. Kiseeva, John B. Kisiel, A. Klustová, L. Kneale, Hiroaki Kobayashi, L. Koch, S. Kodama, M. Kolupanova, A. Konaka, L. L. Kormos, Y. Koshio, K. Kowalik, Y. Kudenko, Yuta Kudo, A. Kumar Jha, R. Kurjata, V. Kurochka, T. Kutter, L. Labarga, Mário Lachat, K. Lachner, J. Lagoda, S.M Lakshmi, M. Lamers James, A. Langella, David Langridge, J. F. Laporte, D. Last, N Latham, M. Laveder, M. Lawe, D. Leon Silverio, S. Levorato, S. Lewis, Baowen Li, C. Lin, R. P. Litchfield, S. L. Liu, W. Li, A. Longhin, A. Lopez Moreno, L. Ludovici, X. L. Lu, T. Lux, L. N. Machado, L. Magaletti, Kendall Mahn, K. K. Mahtani, M. Mandal, S. Manly, A. D. Marino, D. Martin, D. A. Martínez Caicedo, Lluisa Maria Mir Martinez, M. Martini, T. Matsubara, R. Matsumoto, V. Matveev, C. Mauger, K. Mavrokoridis, N. McCauley, K. S. McFarland, Joseph W. McKean, A. Mefodiev, G. D. Megias, L. Mellet, M. Mezzetto, S. Miki, V. Mikola, E. W. Miller, A. Minamino, Oleg Mineev, S. Mine, J. Mirabito, M. Miura, S. Moriyama, P. Morrison, Th. A. Mueller, D. Munford, Alfonso Muñoz, L. Munteanu, Y. Nagai, T. Nakadaira, K. Nakagiri, M. Nakahata, Y. Nakajima, K. D. Nakamura, Y. Nakano, S. Nakayama, T. Nakaya, K. Nakayoshi, C. E. R. Naseby, Doan Trang Nguyen, V.Q Nguyen, K. Niewczas, S. Nishimori, Y. Nishimura, Y. Noguchi, T. Nosek, F. Nova, J. C. Nugent, H. M. O’Keeffe, L. O’Sullivan, R. Okazaki, W. Okinaga, K. Okumura, T. Okusawa, Nobuhiko Onda, N. Ospina, L. Osu, Y. Oyama, V. Paolone, J. Pasternak, Michael Pfaff, L. Pickering, B. Popov, A. J. Portocarrero Yrey, M. Posiadała-Zezula, Y. S. Prabhu, Hari Prasad, F. Pupilli, B. Quilain, P. T. Quyen, E. Radicioni, B. Radics, M. A. Ramirez, Richard Ramsden, P. N. Ratoff, M. Reh, G. Anthony Reina, C. Riccio, D. Riley, E. Rondio, S. Roth, Noë Roy, A. Rubbia, L. Russo, A. Rychter, W. Saenz, K. Sakashita, F. Sánchez, W. Sands, Yosuke Sato, T. Schefke, C. M. Schloesser, K. Scholberg, M. 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, J. T. Sobczyk, H. Sobel, A. J. Speers, R. Spina, Ajit M. Srivastava, Y. Stroke, I. Suslov, A. Suzuki, S. Suzuki, M. Tada, S. Tairafune, A. Takeda, Y Takeuchi, H. K. Tanaka, H. Tanigawa, V. V. Tereshchenko, N. Thamm, N. V. Tran, T. Tsukamoto, M. Tzanov, Y. Uchida, M. R. Vagins, M Varghese, Igor Vasilyev, G. Vasseur, E. Villa, U. Virginet, T. Vladisavljevic, T. Wachala, Daisuke Wakabayashi, H. T. Wallace, J. Walsh, L. Wan, D. Wark, M. O. Wascko, A. Weber, R. Wendell, M. J. Wilking, C. Wilkinson, R. J. Wilson, R. Kevin Wood, C. Wret, J. Xia, K. Yamamoto, Takao A. Yamamoto, Ying Yang, T. Yano, N. Yershov, U. Yevarouskaya, Y. Yoshimoto, Noriko Yoshimura, R. Zaki, A. Zalewska, J. Zalipska, G Zarnecki, Jiawen Zhang, Xingyu Zhao, Hairong Zheng, H. Zhong, T. Zhu, M. Ziembicki, E. D. Zimmerman, M. Zito, S. Zsoldos

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsUniversity of British ColumbiaYork UniversityTRIUMFInstitute of Particle Physics
FundersHORIZON EUROPE Marie Sklodowska-Curie ActionsEuropean Social FundDepartament d'Empresa i Coneixement, Generalitat de CatalunyaEuropean Regional Development FundJapan Society for the Promotion of ScienceNational Research Council CanadaNatural Sciences and Engineering Research Council of CanadaInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilHorizon 2020 Framework ProgrammeNational Energy Research Scientific Computing CenterCommissariat à l'Énergie Atomique et aux Énergies AlternativesCentre National de la Recherche ScientifiqueMinistry of Science and Higher Education of the Russian FederationNemzeti Kutatási Fejlesztési és Innovációs HivatalUniversity of TokyoInstituto Nazionale di Fisica NucleareEuropean CommissionMinisterio de Ciencia e InnovaciónNarodowe Centrum NaukiRussian Science FoundationSorbonne UniversitéFederación Española de Enfermedades RarasMinistry of Education, Culture, Sports, Science and TechnologyU.S. Department of Energy“la Caixa” FoundationNational Foundation for Science and Technology DevelopmentRoyal SocietyNextGenerationEUCanada Foundation for InnovationUK Research and InnovationEuropean Research CouncilMinisterstwo Edukacji i NaukiDeutsche ForschungsgemeinschaftH2020 Marie Skłodowska-Curie ActionsAgencia Estatal de InvestigaciónSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUniversidad de SevillaAgence Nationale de la Recherche
KeywordsNeutrinoCross section (physics)DetectorNeutrino oscillationSelection (genetic algorithm)Neutrino detectorSIGNAL (programming language)

Abstract

fetched live from OpenAlex

This article presents a study of single <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"> <a:msup> <a:mi>π</a:mi> <a:mo>+</a:mo> </a:msup> </a:math> production in neutrino neutral-current interactions ( <c:math xmlns:c="http://www.w3.org/1998/Math/MathML" display="inline"> <c:mrow> <c:mi>NC</c:mi> <c:mn>1</c:mn> <c:msup> <c:mrow> <c:mi>π</c:mi> </c:mrow> <c:mrow> <c:mo>+</c:mo> </c:mrow> </c:msup> </c:mrow> </c:math> ) using the FGD1 hydrocarbon target of the ND280 detector of the T2K experiment. We report the largest sample of such events selected by any experiment, providing the first new data for this channel in over four decades and the first using a sub-GeV neutrino flux. The signal selection strategy and its performance are detailed together with validations of a robust cross section extraction methodology. The measured flux-averaged integrated cross-section is <e:math xmlns:e="http://www.w3.org/1998/Math/MathML" display="inline"> <e:mrow> <e:mi>σ</e:mi> <e:mo>=</e:mo> <e:mo stretchy="false">(</e:mo> <e:mn>6.07</e:mn> <e:mo>±</e:mo> <e:mn>1.22</e:mn> <e:mo stretchy="false">)</e:mo> <e:mo>×</e:mo> <e:msup> <e:mrow> <e:mn>10</e:mn> </e:mrow> <e:mrow> <e:mo>−</e:mo> <e:mn>41</e:mn> </e:mrow> </e:msup> <e:mtext> </e:mtext> <e:mtext> </e:mtext> <e:msup> <e:mrow> <e:mi>cm</e:mi> </e:mrow> <e:mrow> <e:mn>2</e:mn> </e:mrow> </e:msup> <e:mo>/</e:mo> <e:mi>nucleon</e:mi> </e:mrow> </e:math> , <i:math xmlns:i="http://www.w3.org/1998/Math/MathML" display="inline"> <i:mrow> <i:mn>1.3</i:mn> <i:mi>σ</i:mi> </i:mrow> </i:math> above the NEUT v5.4.0 expectation.

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 imitation

Not 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.352
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations1
Published2025
Admission routes2
Has abstractyes

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