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Record W4223974071 · doi:10.48550/arxiv.2203.11772

Testing Non-Standard Interactions Between Solar Neutrinos and Quarks with Super-Kamiokande

2022· preprint· en· W4223974071 on OpenAlexaboutno aff
P. Weatherly, C. Bronner, Y. Hayato, K. Hiraide, M. Ikeda, K. Iyogi, J. Kameda, Y. Kanemura, Y. Kataoka, Y. Kato, Y. Kishimoto, S. Miki, M. Miura, S. Moriyama, T. Mochizuki, M. Nakahata, Y. Nakano, S. Nakayama, T. Okada, K. Okamoto, A. Orii, K. Sato, H. Sekiya, M. Shiozawa, Y. Sonoda, Y. Suzuki, A. Takeda, Y. Takemoto, A. Takenaka, S. Tasaka, X. Wang, S. Watanabe, T. Yano, S. Han, T. Kajita, K. Kaneyuki, K. Okumura, T. Tashiro, R. Wang, J. Xia, L. Labarga, B. Zaldivar, C. Kachulis, E. Kearns, S. Sussman, L. Wan, T. Wester, S. Berkman, S. Tobayama, M. Elnimr, S. Locke, S. Mine, V. Takhistov, A. Yankelevich, J. Hill, B. Bodur, Z. Li, K. Scholberg, L. Bernard, A. Coffani, O. Drapier, A. Giampaolo, S. El Hedri, J. Imber, Pascal Paganini, B. Quilain, T. Ishizuka, T. Nakamura, S. Matsuno, S. Cao, J. Amey, D. Martin, M. Scott, Y. Uchida, V. Berardi, E. Radicioni, G. de Rosa, G. Collazuol, F. Iacob, M. Lamoureux, M. Mattiazzi, N. Ospina, L. Ludovici, M. Gonin, Y. Nishimura, M. Friend, T. Hasegawa, T. Ishida, M. Jakkapu, T. Kobayashi, T. Matsubara, T. Nakadaira, Y. Oyama, K. Sakashita, T. Sekiguchi, T. Tsukamoto, T. Boschi, F. Di Lodovico, J. Gao, T. Katori, J. Migenda, M. Taani, S. Zsoldos, KE. Abe, M. Hasegawa, Y. Isobe, Y. Kotsar, H. Miyabe, H. Ozaki, T. Sugimoto, Y. Takeuchi, S. Yamamoto, Y. Ashida, J. Feng, T. Hayashino, S. Hirota, M. Jiang, T. Kikawa, M. Mori, T. Nakaya, P. Fernández, N. Mccauley, P. Mehta, A. Pritchard, Y. Fukuda, Y. Itow, H. Menjo, M. Murase, K. Frankiewicz, J. Lagoda, M. Mandal, P. Mijakowski, J. Zalipska, M. Jia, J. Jiang, X. Li, G. Santucci, C. Vilela, C. Yanagisawa, D. Fukuda, K. Hagiwara, M. Harada, H. Ishino, S. Ito, H. Kitagawa, Y. Koshio, S. Sakai, M. Sakuda, Y. Takahira, C. Xu, Y. Kuno, G. Barr, D. Barrow, L. Cook, A. Goldsack, S. Samani, C. Simpson, D. Wark, S. Molina Sedgwick, R. Tacik, F. Nova, M. Malek, O. Stone, H. Okazawa, Y. Choi, I. Yu, A. Ichikawa, K. Nishijima, M. Koshiba, K. Iwamoto, K. Nakagiri, Y. Nakajima, Y. Suda, N. Taniuchi, M. Yokoyama, K. Martens, M. Murdoch, D. Hamabe, S. Izumiyama, M. Kuze, Y. Okajima, T. Yoshida, M. Inomoto, M. Ishitsuka, Hiroshi Itô, T. Kinoshita, R. Matsumoto, M. Shinoki, T. Suganuma, M. Yonenaga, T. Towstego, R. Akutsu, P de Perio, V. Gousy-Leblanc, M. Hartz, A. Konaka, S. Chen, B. Zhang, M. Posiadała-Zezula, D. Hadley, M. Nicholson, M O'Flaherty, B. Richards, A. Ali, B. Jamieson, P. Giorgio, Ll. Marti, A. Minamino, G. Pintaudi, R. Sasaki, K. Wada

Bibliographic record

VenuearXiv (Cornell University) · 2022
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsParticle physicsNeutrinoSolar neutrinoQuarkBorexinoSuper-KamiokandeStandard Model (mathematical formulation)Nuclear physicsNeutrino oscillation

Abstract

fetched live from OpenAlex

Non-Standard Interactions (NSI) between neutrinos and matter affect the neutrino flavor oscillations. Due to the high matter density in the core of the Sun, solar neutrinos are suited to probe these interactions. Using the $277$ kton-yr exposure of Super-Kamiokande to $^{8}$B solar neutrinos, we search for the presence of NSI. Our data favors the presence of NSI with down quarks at 1.8$σ$, and with up quarks at 1.6$σ$, with the best fit NSI parameters being ($ε_{11}^{d},ε_{12}^{d}$) = (-3.3, -3.1) for $d$-quarks and ($ε_{11}^{u},ε_{12}^{u}$) = (-2.5, -3.1) for $u$-quarks. After combining with data from the Sudbury Neutrino Observatory and Borexino, the significance increases by 0.1$σ$.

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 imitation

Not 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)0.006
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.081
GPT teacher head0.234
Teacher spread0.153 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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