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Record W2295102507 · doi:10.1103/physrevd.93.072011

New measurement of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>θ</mml:mi></mml:mrow><mml:mrow><mml:mn>13</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>via neutron capture on hydrogen at Daya Bay

2016· article· lv· W2295102507 on OpenAlexaff
Fengpeng An, A. B. Balantekin, H. R. Band, M. Bishai, S. Blyth, D. Cao, G. F. Cao, Jun Cao, W. R. Cen, Y. L. Chan, J. F. Chang, Ling-Hua Chang, Y. Chang, H. S. Chen, Q. Y. Chen, S. M. Chen, Y. X. Chen, Y. Chen, Jie Cheng, Yaping Cheng, Zhaokan Cheng, J. J. Cherwinka, M. C. Chu, A. Chukanov, J. P. Cummings, J. de Arcos, Z. Y. Deng, Xuefeng Ding, Yayun Ding, M. Diwan, M. Dolgareva, J. Dove, D. A. Dwyer, W. R. Edwards, R. Gill, M. Gonchar, G. Gong, Haipeng Gong, M. Grassi, W. Gu, Mengyun Guan, Lei Guo, R. P. Guo, Xin-Heng Guo, Ziyi Guo, R. Hackenburg, Ran Han, S. Hans, M. He, K. M. Heeger, Y. K. Heng, A. Higuera, Y. K. Hor, Y. Hsiung, Beibei Hu, T. Hu, W. Hu, E.-C. Huang, Han‐Xiong Huang, X. T. Huang, Patrick Huber, W. Huo, Ghulam Hussain, D. E. Jaffe, P. Jaffke, K. L. Jen, S. Jetter, Xingzhao Ji, X. L. Ji, J. B. Jiao, R. A. Johnson, J. Joshi, Li-Wei Kang, S. H. Kettell, S. Kohn, M. Krämer, K. K. Kwan, M. W. Kwok, T. Kwok, T. J. Langford, K. Lau, L. Lebanowski, J. Lee, J. H. C. Lee, R. T. Lei, R. Leitner, J. K. C. Leung, C. Li, D. J. Li, F. Li, G. S. Li, Q. J. Li, S. Li, S. Li, W. D. Li, X. N. Li, Yufeng Li, Zhibing Li, H. Liang, C.-J. Lin, Guey-Lin Lin, S. Lin, S. Lin, Y. C. Lin, J. J. Ling, J. M. Link, L. Littenberg, B. R. Littlejohn, D. W. Liu, J. J. Liu, J. L. Liu, J. C. Liu, T. Lohse, C. Lu, H. Q. Lu, J. S. Lu, X.-G. Lu, Zhipeng Lv, Q. M., X. Y., X. B., Y. Q., Yury Malyshkin, D. A. Martínez Caicedo, Kirk T. McDonald, R. D. McKeown, I. V. Mitchell, M. Mooney, Y. Nakajima, J. Napolitano, D. Naumov, E. Naumova, H. Y. Ngai, Zhe Ning, J. P. Ochoa‐Ricoux, A. Olshevskiy, Hsiao-Ru Pan, J. Park, S. Patton, V. Pec, J. C. Peng, L. Pinsky, C. S. J. Pun, F. Z. Qi, M. Qi, X. Qian, N. Raper, Jie Ren, R. Rosero, B. Roskovec, Xichao Ruan, H. Steiner, G. X. Sun, Jian Sun, W. Tang, D. Taychenachev, T. Konstantin, K. V. Tsang, C. E. Tull, N. Viaux Maira, B. Viren, V. Vorobel, C. H. Wang, Meng Wang, N. Y. Wang, R. G. Wang, W. Wang, W. W. Wang, X. Wang, Y. F. Wang, Z. Wang, Zhe Wang, H. Wei, Liangjian Wen, K. Whisnant, C. White, L. Whitehead, T. Wise, H. L. H. Wong, S. C. F. Wong, E. Worcester, Chengxin Wu, Q. Wu, D. M. Xia, J. K. Xia, Zezhou Xing, Jing Xu, Jilei Xu, Y. Xu, T. Xue, J. Yan, C.G. Yang, H. Yang, L. Yang, M. Yang, M. Yang, M. Ye, Ziping Ye, M. Yeh, Ben Young, G. Y. Yu, Zeyuan Yu, Liang Zhan, C. Zhang, H. H. Zhang, J. W. Zhang, Qingmin Zhang, X. T. Zhang, Y. M. Zhang, Y. X. Zhang, Z. J. Zhang, Zhiyue Zhang, Z. P. Zhang, J. Zhao, Q. W. Zhao, Yushan Zhao, Y. Zhao, W. Zhong, L. Zhou, Nan Zhou, H.L. Zhuang, J. H. Zou

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2016
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsInstitute of Particle Physics
FundersComisión Nacional de Investigación Científica y TecnológicaCAS Center for Excellence in Particle PhysicsMinistry of Science and Technology, TaiwanTsinghua UniversityResearch Grants Council, University Grants CommitteeMinisterstvo Školství, Mládeže a TělovýchovyChinese Academy of SciencesJoint Institute for Nuclear ResearchRussian Foundation for Basic ResearchNational Natural Science Foundation of ChinaChina RailwayMinistry of Science and Technology of the People's Republic of ChinaShandong UniversityU.S. Department of EnergyNational Science Foundation
KeywordsAlgorithmPhysicsNeutrinoArtificial intelligenceMathematicsComputer scienceNuclear physics

Abstract

fetched live from OpenAlex

The Daya Bay collaboration, with all eight of its anti-neutrino detectors functioning, returns to measuring the neutrino mixing angle ${\ensuremath{\theta}}_{13}$ through hydrogen capture of neutrons produced in inverse-beta decay. The new measurement improves significantly on the uncertainty in the value of ${\ensuremath{\theta}}_{13}$ measured using this method.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient 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: none
Teacher disagreement score0.926
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.005
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0030.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.2810.009

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 head0.023
GPT teacher head0.311
Teacher spread0.288 · 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; 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

Citations39
Published2016
Admission routes1
Has abstractyes

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