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Record W4315644874 · doi:10.1103/physrevd.107.012001

Improved constraint on the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mi mathvariant="normal">M</mml:mi><mml:mi mathvariant="normal">I</mml:mi><mml:mi mathvariant="normal">N</mml:mi><mml:mi mathvariant="normal">E</mml:mi><mml:mi mathvariant="normal">R</mml:mi><mml:mi>ν</mml:mi><mml:mi mathvariant="normal">A</mml:mi></mml:mrow></mml:math> medium energy neutrino flux using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mover accent="true"><mml:mrow><mml:mi>ν</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="false">¯</mml:mo></mml:mrow></mml:mover><mml:msup><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mo>−</mml:mo></mml:mrow></mml:msup><mml:mo stretchy="false">→</mml:mo><mml:mover accent="true"><mml:mrow><mml:mi>ν</mml:mi></mml:mrow><mml:mrow><mml:mo stretchy="false">¯</mml:mo></mml:mrow></mml:mover><mml:msup><mml:mrow><mml:mi>e</mml:mi></mml:mrow><mml:mrow><mml:mo>−</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math> data

2023· article· lv· W4315644874 on OpenAlexaff
L. Zazueta, S. Akhter, Z. Ahmad Dar, F. Akbar, V. Ansari, M. V. Ascencio, M. Sajjad Athar, A. Bashyal, A. Bercellie, M. Betancourt, J. L. Bonilla, A. Bravar, T. Cai, G. A. Díaz, H. da Motta, J. Félix, L. Fields, A. Filkins, R. Fine, A. M. Gago, H. Gallagher, A. Ghosh, R. Gran, E. Granados, Deborah A. Harris, S. Henry, C. Jena, S. Jena, J. Kleykamp, A. Klustová, M. Kordosky, D. Last, A. Lozano, X.-G. Lu, E. Maher, S. Manly, W. A. Mann, K. S. McFarland, B. Messerly, J. Miller, Omar Moreno, J. G. Morfín, J. K. Nelson, C. Nguyen, A. Olivier, V. Paolone, Gabriel Perdue, Komninos-John Plows, M. A. Ramírez, D. Ruterbories, H. Schellman, C. J. Solano Salinas, Hang Su, M. Sultana, E. Valencia, N. Vaughan, A. V. Waldron, B. Yaeggy

Bibliographic record

VenuePhysical review. D/Physical review. D. · 2023
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsYork University
FundersFermilabFondo Nacional de Desarrollo Científico y TecnológicoComisión Nacional de Investigación Científica y TecnológicaOffice of ScienceConsejo Nacional de Ciencia, Tecnología e Innovación TecnológicaResearch Corporation for Scientific AdvancementNarodowe Centrum NaukiH2020 Marie Skłodowska-Curie ActionsConselho Nacional de Desenvolvimento Científico e TecnológicoCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorScience and Technology Facilities CouncilUniversity of RochesterU.S. Department of EnergyPontificia Universidad Católica del PerúNational Science FoundationImperial College LondonConsejo Nacional de Ciencia y Tecnología
KeywordsNeutrinoPhysicsMuonFlux (metallurgy)InverseNuclear physicsElectronParticle physicsBeam (structure)OpticsGeometryChemistryMathematics

Abstract

fetched live from OpenAlex

Processes with precisely known cross sections, like neutrino-electron elastic scattering ($\ensuremath{\nu}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}\ensuremath{\nu}{e}^{\ensuremath{-}}$) and inverse muon decay (${\ensuremath{\nu}}_{\ensuremath{\mu}}{e}^{\ensuremath{-}}\ensuremath{\rightarrow}{\ensuremath{\mu}}^{\ensuremath{-}}{\ensuremath{\nu}}_{e}$) have been used by $\mathrm{M}\mathrm{I}\mathrm{N}\mathrm{E}\mathrm{R}\ensuremath{\nu}\mathrm{A}$ to constrain the uncertainty on the neutrinos at the main injector (NuMI) neutrino beam flux. This work presents a new measurement of neutrino elastic scattering with electrons using the medium energy ${\overline{\ensuremath{\nu}}}_{\ensuremath{\mu}}$-enhanced NuMI beam. A sample of 578 events after background subtraction is used in combination with the previous measurement on the ${\ensuremath{\nu}}_{\ensuremath{\mu}}$ beam and the inverse muon decay measurement to reduce the uncertainty on the ${\ensuremath{\nu}}_{\ensuremath{\mu}}$ flux in the ${\ensuremath{\nu}}_{\ensuremath{\mu}}$-enhanced beam from 7.6% to 3.3% and the ${\overline{\ensuremath{\nu}}}_{\ensuremath{\mu}}$ flux in the ${\overline{\ensuremath{\nu}}}_{\ensuremath{\mu}}$-enhanced beam from 7.8% to 4.7%.

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)0.003
metaresearch head score (Gemma)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.243
Threshold uncertainty score0.812

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0070.008
Open science0.0050.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.2430.076

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 head0.025
GPT teacher head0.295
Teacher spread0.270 · 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".

Quick stats

Citations16
Published2023
Admission routes1
Has abstractyes

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