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The detector system of the Daya Bay reactor neutrino experiment
Fengpeng An, J. Z. Bai, A. B. Balantekin, H. R. Band, D. Beavis, W. Beriguete, M. Bishai, S. Blyth, Richard Brown, Ilya Butorov, D. Cao, G. F. Cao, Jun Cao, R. Carr, W. R. Cen, W. T. Chan, Y. L. Chan, J. F. Chang, Ling-Hua Chang, Y. Chang, C. Chasman, H.Y. Chen, H.S. Chen, M.J. Chen, Q.Y. Chen, S.J. Chen, S.M. Chen, X.C. Chen, X.H. Chen, X.S. Chen, Y.X. Chen, Y. Chen, Jie Cheng, Yaping Cheng, J. J. Cherwinka, S. Chidzik, K. Chow, M. C. Chu, J. P. Cummings, J. de Arcos, Z. Y. Deng, Xuefeng Ding, Yayun Ding, M. Diwan, L. Y. Dong, J. Dove, Emily Draeger, X. F. Du, D. A. Dwyer, W. R. Edwards, S. Ely, S. D. Fang, Jinghua Fu, Z. Fu, L. Q. Ge, V. Ghazikhanian, R. Gill, J. Goett, M. Gonchar, G. Gong, Haipeng Gong, Y. Gornushkin, M. Grassi, L. Greenler, W. Gu, Mengyun Guan, R. P. Guo, Xin-Heng Guo, R. Hackenburg, R. L. Hahn, Ran Han, S. Hans, M. He, Q. He, Wei He, K. M. Heeger, Y. K. Heng, A. Higuera, P. Hinrichs, T. H. Ho, M. Hoff, Y. K. Hor, Y. Hsiung, Beibei Hu, Liangming Hu, L. J. Hu, T. Hu, W. Hu, E.-C. Huang, Hanxiong Huang, Han‐Xiong Huang, Pin‐Wen Huang, X. T. Huang, Patrick Huber, Ghulam Hussain, Z. Isvan, D. E. Jaffe, P. Jaffke, K. L. Jen, S. Jetter, Xihan Ji, X. L. Ji, H. J. Jiang, Weijie Jiang, J. B. Jiao, R. A. Johnson, J. Joseph, Li-Wei Kang, S. H. Kettell, S. Kohn, M. Krämer, K. K. Kwan, M. W. Kwok, T. Kwok, Canxiong Lai, Wanchang Lai, T. J. Langford, K. Lau, L. Lebanowski, J. Lee, M.K.P. Lee, R. T. Lei, R. Leitner, J. K. C. Leung, C. A. Lewis, B. Li, C. Li, D.J. Li, Li Fei, G.S. Li, J. Li, N.Y. Li, Q.J. Li, S.F. Li, S. Li, W.D. Li, X.B. Li, X.N. Li, X.Q. Li, Y. Li, Yufeng Li, Z.B. Li, H. Liang, J. J. Liang, C.-J. Lin, Guey-Lin Lin, P. Y. Lin, Shengxin Lin, S. Lin, Y. C. Lin, J. J. Ling, J. M. Link, L. Littenberg, B. R. Littlejohn, B.J. Liu, C. Liu, D.W. Liu, H. Liu, J.L. Liu, J.C. Liu, S. Liu, S.S. Liu, X. Liu, Y.B. Liu, C. Lu, H. Q. Lu, J. S. Lu, A. Luk, X.-G. Lu, T. Luo, X. L. Luo, Lingxiao Ma, Q. M. Ma, X.Y. Ma, Xiaoyan Ma, Y.Q. Ma, B. Mayes, Kirk T. McDonald, M. C. McFarlane, R. D. McKeown, Yue Meng, I. V. Mitchell, D. Mohapatra, J. Monari Kebwaro, J. E. Morgan, Y. Nakajima, J. Napolitano, D. Naumov, E. Naumova, C. Newsom, H. Y. Ngai, W. K. Ngai, Y. Nie, Zhe Ning, J. P. Ochoa‐Ricoux, A. Olshevskiy, A. Pagac, H.-R. Pan, S. Patton, C. Pearson, V. Pec, J. C. Peng, L. E. Piilonen, L. Pinsky, C. S. J. Pun, F. Z. Qi, M. Qi, X. Qian, N. Raper, Biying Ren, Jie Ren, R. Rosero, B. Roskovec, Xichao Ruan, William Sands, B. Seilhan, B. Shao, Kendrick Co Shih, W. Y. Song, H. Steiner, P. Stoler, M.R. Stuart, G. X. Sun, Jian Sun, N. Tagg, Y. H. Tam, W. Tang, X. Tang, D. Taychenachev, H. Themann, Y. Torun, S. Trentalange, O. D. Tsai, K. V. Tsang, R. Tsang, C. E. Tull, Y. C. Tung, N. Viaux Maira, B. Viren, Steve Virostek, V. Vorobel, C.H. Wang, L.S. Wang, L.Y. Wang, L.Z. Wang, M. Wang, N.Y. Wang, R.G. Wang, T. Wang, W. Wang, W.W. Wang, X.T. Wang, Xiang-Gao Wang, Y. F. Wang, Z. Wang, Zhimin Wang, D.M. Webber, H. Wei, Y. D. Wei, Liangjian Wen, D. Wenman, K. Whisnant, C. White, L. Whitehead, C. Whitten, J. Wilhelmi, T. Wise, H. C. Wong, H. L. H. Wong, Jonathan Wong, S. C. F. Wong, E. Worcester, Fenfang Wu, Q. Wu, D. M. Xia, J. K. Xia, S. T. Xiang, Q. Xiao, Zezhou Xing, G. Xu, J. Y. Xu, Jilei Xu, W. Xu, Y. Xu, T. Xue, J. Yan, Changgen Yang, L. Yang, M. Yang, M. Yang, M. Ye, M. Yeh, Y. S. Yeh, K. Yip, Ben Young, G. Y. Yu, Zeyuan Yu, S. Zeng, Liang Zhan, C. Zhang, F.H. Zhang, H. H. Zhang, J.W. Zhang, Kexin Zhang, Q.X. Zhang, Qingmin Zhang, S.H. Zhang, X.T. Zhang, Y.C. Zhang, Y.H. Zhang, Y.M. Zhang, Y.X. Zhang, Z.J. Zhang, Z.Y. Zhang, Z.P. Zhang, J. Zhao, Q. W. Zhao, Yushan Zhao, Y. Zhao, L. Zheng, W. Zhong, L. Zhou, Nan Zhou, Z. Y. Zhou, H. L. Zhuang, S. Zimmerman, J. H. Zou
Bibliographic record
VenueNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsInstitute of Particle Physics
FundersCAS Center for Excellence in Particle PhysicsMinistry of Science and Technology, TaiwanMinistry of Science and Technology of the People's Republic of ChinaComisión Nacional de Investigación Científica y TecnológicaChinese Academy of SciencesJoint Institute for Nuclear ResearchMinisterstvo Školství, Mládeže a TělovýchovyNational Natural Science Foundation of ChinaNational Science FoundationYale UniversityU.S. Department of Energy
KeywordsDetectorPhysicsNuclear physicsMuonNeutrinoPhotomultiplierScintillatorNeutrino detectorParticle physicsNeutrino oscillationOptics
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.096
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.014 |
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 head0.064
GPT teacher head0.381
Teacher spread0.317 · 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 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".
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Citations114
Published2015
Admission routes1
Has abstractno