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Measurement of inclusive double-differential <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>ν</mml:mi></mml:mrow><mml:mrow><mml:mi>μ</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math> charged-current cross section with improved acceptance in the T2K off-axis near detector
K. Abe, J. L. Amey, C. Andreopoulos, L. Anthony, M. Antonova, S. Aoki, A. Ariga, Yosuke Ashida, Y. Azuma, S. Ban, M. Barbi, Gareth J. Barker, G. Barr, C. Barry, M. Batkiewicz, V. Berardi, S. Berkman, R. M. Berner, S. Bhadra, S. Bienstock, A. Blondel, S. Bolognesi, S. Bordoni, B. Bourguille, S. Boyd, D. Brailsford, A. Bravar, C. Bronner, M. Buizza Avanzini, J. Calcutt, T. Campbell, S. Cao, S. L. Cartwright, M. G. Catanesi, A. Cervera, A. Chappell, C. Checchia, D. Cherdack, N. Chikuma, G. Christodoulou, J. P. Coleman, G. Collazuol, D. Coplowe, A. Cudd, A. Dąbrowska, G. De Rosa, T. Dealtry, P. F. Denner, C. Densham, F. Di Lodovico, S. Dolan, O. Drapier, K. Duffy, J. Dumarchez, P. Dunne, S. Emery-Schrenk, A. Ereditato, T. Feusels, A.J. Finch, G. A. Fiorentini, G. Fiorillo, C. François, M. Friend, Y. Fujii, D. Fukuda, Y. Fukuda, Alfonso Garcia, C. Giganti, F. Gizzarelli, T. Golan, M. Gonin, D. R. Hadley, L. Haegel, Jennifer Haigh, P. Hamacher-Baumann, D. Hansen, Junpei Harada, M. Hartz, T. Hasegawa, N. C. Hastings, T. Hayashino, Y. Hayato, T. Hiraki, A. Hiramoto, S. Hirota, M. Hogan, J. Holeczek, F. Hosomi, A. K. Ichikawa, M. Ikeda, J. Imber, Takashi Inoue, R. A. Intonti, Toru Ishida, T. Ishii, K. Iwamoto, A. Izmaylov, B. Jamieson, M. Jiang, S. Johnson, P. Jonsson, C. K. Jung, M. Kabirnezhad, A. C. Kaboth, T. Kajita, H. Kakuno, J. Kameda, D. Karlen, T. Katori, E. Kearns, M. Khabibullin, A. Khotjantsev, H. Kim, J. Kim, S. King, J. Kisiel, A. Knight, A. Knox, T. Kobayashi, L. Koch, T. Koga, P. P. Koller, A. Konaka, L. L. Kormos, Y. Koshio, K. Kowalik, Y. Kudenko, R. Kurjata, T. Kutter, L. Labarga, J. Łagoda, I. Lamont, M. Lamoureux, P. Lasorak, M. Laveder, M. Lawe, M. Licciardi, T. Lindner, Z. Liptak, R. P. Litchfield, X. Li, A. Longhin, J. P. Lopez, T. Lou, L. Ludovici, X.-G. Lu, L. Magaletti, K. Mahn, M. Malek, S. Manly, L. Maret, A. D. Marino, J. F. Martin, P. Martins, S. Martynenko, T. Maruyama, V. Matveev, K. Mavrokoridis, W. Y., E. Mazzucato, M. McCarthy, N. McCauley, K. S. McFarland, C. McGrew, A. Mefodiev, C. Metelko, M. Mezzetto, A. Minamino, O. Mineev, S. Mine, A. Missert, M. Miura, S. Moriyama, John H. Morrison, Th. A. Mueller, Y. Nagai, T. Nakadaira, M. Nakahata, K. Nakamura, K. Nakamura, Yuta Nakanishi, S. Nakayama, T. Nakaya, K. Nakayoshi, C. Nantais, C. Nielsen, K. Niewczas, K. Nishikawa, Y. Nishimura, P. Novella, J. Nowak, H. M. O’Keeffe, K. Okumura, T. Okusawa, W. Oryszczak, S. M. Oser, T. Ovsyannikova, R. A. Owen, Y. Oyama, V. Palladino, J. L. Palomino, V. Paolone, P. Paudyal, M. Pavin, D. J. Payne, Y. Petrov, L. Pickering, E. S. Pinzon Guerra, C. Pistillo, B. Popov, M. Posiadała-Zezula, A. Pritchard, P. Przewłocki, B. Quilain, T. Radermacher, E. Radicioni, P. N. Ratoff, M. A. Rayner, E. Reinherz-Aronis, C. Riccio, E. Rondio, B. Rossi, S. Roth, A. C. Ruggeri, A. Rychter, K. Sakashita, F. Sánchez, S. Sasaki, E. Scantamburlo, K. Scholberg, J. Schwehr, M. Scott, Y. Seiya, T. Sekiguchi, H. Sekiya, D. Sgalaberna, R. Shah, A. Shaikhiev, F. Shaker, D. Shaw, M. Shiozawa, А. В. Смирнов, M. Smy, J. T. Sobczyk, H. Sobel, J. Steinmann, T. Stewart, Y. Suda, S. Suvorov, Y. Suzuki, S. Y. Suzuki, R. Tacik, M. Tada, A. Takeda, Y. Takeuchi, R. Tamura, H. Tanaka, H. A. Tanaka, T. Thakore, L.F. Thompson, S. Tobayama, W. H. Toki, T. Tsukamoto, M. Tzanov, W. Uno, M. R. Vagins, Z. Vallari, G. Vasseur, C. Vilela, T. Vladisavljevic, T. Wąchała, J. Walker, C. W. Walter, Y. Wang, D. Wark, M. O. Wascko, A. Weber, R. Wendell, M. J. Wilking, C. Wilkinson, J. R. Wilson, R. J. Wilson, C. Wret, Y. Yamada, K. Yamamoto, S. Yamasu, C. Yanagisawa, T. Yano, S. Yen, N. Yershov, M. Yokoyama, M. Yu, A. Zalewska, J. Zalipska, L. Zambelli, К. Заремба, M. Ziembicki, E. D. Zimmerman, M. Zito, A. Zykova
Bibliographic record
VenuePhysical review. D/Physical review. D. · 2018
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsUniversity of TorontoUniversity of WinnipegUniversity of British ColumbiaYork UniversityTRIUMFUniversity of VictoriaUniversity of Regina
FundersH2020 European Research CouncilEuropean Regional Development FundNational Research Council CanadaCentre National de la Recherche ScientifiqueDeutsches Elektronen-SynchrotronCommissariat à l'Énergie Atomique et aux Énergies AlternativesRoyal SocietyMinisterio de Economía y CompetitividadInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilHorizon 2020 Framework ProgrammeRussian Foundation for Basic ResearchSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungRussian Science FoundationJapan Society for the Promotion of ScienceMinistry of Education and Science of the Russian FederationMinistry of Education, Culture, Sports, Science and TechnologyU.S. Department of EnergyInstituto Nazionale di Fisica NucleareEuropean CommissionCompute CanadaWestern Canada Research GridCERNMinisterstwo Edukacji i NaukiDeutsche ForschungsgemeinschaftNarodowe Centrum NaukiScientific Education and Research InstituteCanada Foundation for InnovationNatural Sciences and Engineering Research Council of CanadaAlfred P. Sloan Foundation
KeywordsMuonPhysicsNeutrinoParticle physicsNuclear physics
Abstract
We report a measurement of the flux-integrated cross section for inclusive muon neutrino charged-current interactions on carbon. The double-differential measurements are given as a function of the muon momentum and angle. Relative to our previous publication on this topic, these results have an increased angular acceptance and higher statistics. The data sample presented here corresponds to $5.7\ifmmode\times\else\texttimes\fi{}{10}^{20}$ protons on target. The total flux-integrated cross section is measured to be $(6.950\ifmmode\pm\else\textpm\fi{}0.662)\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}39}\text{ }\text{ }{\mathrm{cm}}^{2}\text{ }{\text{nucleon}}^{\ensuremath{-}1}$ and is consistent with our simulation.
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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.170 | 0.002 |
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 head0.024
GPT teacher head0.334
Teacher spread0.311 · 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; both teacher heads agree on what is shown here.
Study designBench or experimental
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
Citations34
Published2018
Admission routes2
Has abstractyes