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Record W4396851594 · doi:10.1103/physrevd.109.092008

Measurement of electron neutrino and antineutrino cross sections at low momentum transfer

2024· article· en· W4396851594 on OpenAlexaff
S. Henry, Hang Su, S. Akhter, Z. Ahmad Dar, V. Ansari, M. V. Ascencio, M. Sajjad Athar, A. Bashyal, M. Betancourt, J. L. Bonilla, A. Bravar, G. A. Díaz, J. Félix, L. Fields, R. Fine, P. K. Gaur, S. M. Gilligan, R. Gran, E. Granados, D. A. Harris, Ailsa Hart, J. Kleykamp, A. Klustová, M. Kordosky, D. Last, A. Lozano, X.-G. Lu, S. Manly, W. A. Mann, C. Mauger, K. S. McFarland, Mehwish Mehmood, B. Messerly, J. G. Morfín, D. Naples, J. K. Nelson, C. Nguyen, A. Olivier, V. Paolone, G. N. Perdue, C. Pernas, Komninos-John Plows, M. A. Ramírez, R. D. Ransome, N. Roy, D. Ruterbories, H. Schellman, C. J. Solano Salinas, V. S. Syrotenko, E. Valencia, N. H. Vaughan, A. V. Waldron, C. Wret, B. Yaeggy, L. Zazueta

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsYork University
FundersH2020 Marie Skłodowska-Curie ActionsConsejo Nacional de Ciencia, Tecnología e Innovación TecnológicaFondo Nacional de Desarrollo Científico y TecnológicoNational Science FoundationFermilabHigh Energy PhysicsH2020 European Research CouncilDivision of ChemistryComisión Nacional de Investigación Científica y TecnológicaOffice of ScienceAgencia Nacional de Investigación y DesarrolloDirección de Gestión de la Investigación, Universidad de AntofagastaAsociación para el Estudio y Apoyo a las FamiliasPontificia Universidad Católica del PerúResearch Corporation for Science AdvancementImperial College LondonConselho Nacional de Desenvolvimento Científico e TecnológicoResearch Corporation for Scientific AdvancementNarodowe Centrum NaukiCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorScience and Technology Facilities CouncilUniversity of RochesterU.S. Department of EnergyConsejo Nacional de Ciencia y Tecnología
KeywordsNeutrinoMuonPhysicsParticle physicsElectron neutrinoNuclear physicsNeutrino oscillationMomentum transferElectronQuantum mechanics

Abstract

fetched live from OpenAlex

Accelerator based neutrino oscillation experiments seek to measure the relative number of electron and muon (anti)neutrinos at different L/E values. However high statistics studies of neutrino interactions are almost exclusively measured using muon (anti)neutrinos since the dominant flavor of neutrinos produced by accelerator based beams are of the muon type. This work reports new measurements of electron (anti)neutrinos interactions in hydrocarbon, obtained by strongly suppressing backgrounds initiated by muon flavor (anti)neutrinos. Double differential cross sections as a function of visible energy transfer, Eavail , and transverse momentum transfer, pT , or three momentum transfer, q3 are presented. Published by the American Physical Society 2024

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)0.000
metaresearch head score (Gemma)0.000
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.428
Teacher spread0.406 · 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 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

Citations5
Published2024
Admission routes1
Has abstractyes

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