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Extraction of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi mathvariant="normal">U</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>235</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Pu</mml:mi></mml:mrow><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>239</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math> Antineutrino Spectra at Daya Bay

2019· article· lv· W2974644908 on OpenAlexaff
D. Adey, Fengpeng An, A. B. Balantekin, H. R. Band, M. Bishai, S. Blyth, D. Cao, G. F. Cao, Jun Cao, J. F. Chang, Y. Chang, H. S. Chen, S. M. Chen, Y. Chen, Y. X. Chen, Jie Cheng, Z. K. Cheng, J. J. Cherwinka, M. C. Chu, A. Chukanov, J. P. Cummings, N. Dash, F. S. Deng, Y. Y. Ding, M. Diwan, Tadeáš Dohnal, J. Dove, Martin Dvořák, D. A. Dwyer, M. Gonchar, G. H. Gong, Haipeng Gong, W. Gu, J. Y. Guo, Lei Guo, Xin-Heng Guo, Yuhang Guo, Ziwei Guo, R. Hackenburg, S. Hans, M. He, K. M. Heeger, Y. K. Heng, A. Higuera, Y. K. Hor, Y. Hsiung, Beibei Hu, Jun Hu, T. Hu, Z. Hu, H. X. Huang, X. T. Huang, Y. B. Huang, Patrick Huber, D. E. Jaffe, K. L. Jen, X. L. Ji, X. Ji, R. A. Johnson, D. Jones, Li-Wei Kang, S. H. Kettell, L. W. Koerner, S. Kohn, M. Krämer, T. J. Langford, J. Lee, J. H. C. Lee, R. T. Lei, R. Leitner, J. K. C. Leung, C. Li, F. Li, H. L. Li, Q. J. Li, S. Li, S. J. Li, W. D. Li, X. N. Li, X. Q. Li, Yufeng Li, Zhibing Li, H. Liang, C. J. Lin, Guey-Lin Lin, Shengxin Lin, J. J. Ling, J. M. Link, L. Littenberg, B. R. Littlejohn, J. C. Liu, J. L. Liu, Y. Liu, Y. H. Liu, C. Lu, H. Q. Lu, J. S. Lu, X.-G. Lu, X. B., X. Y., Y. Q., C. Marshall, D. A. Martínez Caicedo, K. T. McDonald, R. D. McKeown, I. V. Mitchell, L. Mora Lepin, J. Napolitano, D. Naumov, E. Naumova, J. P. Ochoa‐Ricoux, A. Olshevskiy, H.-R. 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, X. C. Ruan, H. Steiner, J. L. Sun, Konstantin Treskov, W.-H. Tse, C. E. Tull, B. Viren, V. Vorobel, C. H. Wang, Jun Wang, M. Wang, N. Y. Wang, R. G. Wang, Xiang-Gao Wang, Y. Wang, Y. F. Wang, Zhu Wang, Zhe Wang, H. Wei, L. H. Wei, Liangjian Wen, K. Whisnant, C. G. White, H. L. H. Wong, S. C. F. Wong, E. Worcester, Qian Wu, W. Wu, D. M. Xia, Z. Z. Xing, Jilei Xu, T. Xue, C. G. Yang, L. Yang, M. Yang, Y. Z. Yang, M. Ye, M. Yeh, Ben Young, H. Z. Yu, Zeyuan Yu, B. B. Yue, S. Zeng, Y. Zeng, Liang Zhan, C. Zhang, C. C. Zhang, Feifan Zhang, H. H. Zhang, J. W. Zhang, Qingmin Zhang, R. Zhang, X. F. Zhang, X. T. Zhang, Y. M. Zhang, Y. X. Zhang, Y. Y. Zhang, Z. J. Zhang, Z. P. Zhang, Z. Y. Zhang, J. Y. Zhao, L. Zhou, H. L. Zhuang, J. H. Zou

Bibliographic record

VenuePhysical Review Letters · 2019
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsInstitute of Particle Physics
FundersComisión Nacional de Investigación Científica y TecnológicaResearch Grants Council, University Grants CommitteeMinisterstvo Školství, Mládeže a TělovýchovyChinese Academy of SciencesGovernment of Guangdong ProvinceNational Natural Science Foundation of ChinaChina RailwayMinistry of Science and Technology of the People's Republic of ChinaUniverzita Karlova v PrazeCAS Center for Excellence in Particle PhysicsMinistry of EducationU.S. Department of EnergyNational Science Foundation
KeywordsPhysicsSpectral lineIsotopeEnergy (signal processing)InverseNuclear physicsMathematicsGeometry

Abstract

fetched live from OpenAlex

This Letter reports the first extraction of individual antineutrino spectra from ^{235}U and ^{239}Pu fission and an improved measurement of the prompt energy spectrum of reactor antineutrinos at Daya Bay. The analysis uses 3.5×10^{6} inverse beta-decay candidates in four near antineutrino detectors in 1958 days. The individual antineutrino spectra of the two dominant isotopes, ^{235}U and ^{239}Pu, are extracted using the evolution of the prompt spectrum as a function of the isotope fission fractions. In the energy window of 4-6 MeV, a 7% (9%) excess of events is observed for the ^{235}U (^{239}Pu) spectrum compared with the normalized Huber-Mueller model prediction. The significance of discrepancy is 4.0σ for ^{235}U spectral shape compared with the Huber-Mueller model prediction. The shape of the measured inverse beta-decay prompt energy spectrum disagrees with the prediction of the Huber-Mueller model at 5.3σ. In the energy range of 4-6 MeV, a maximal local discrepancy of 6.3σ is observed.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, 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: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0040.007
Meta-epidemiology (broad)0.0020.008
Bibliometrics0.0020.004
Science and technology studies0.0050.006
Scholarly communication0.0050.007
Open science0.0090.009
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.5620.008

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 head0.261
Teacher spread0.241 · 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".

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Citations68
Published2019
Admission routes1
Has abstractyes

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