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Predicting neutrino flux for the T2K experiment

2013· article· en· W2089774831 on OpenAlexaff
Vyacheslav Galymov

Bibliographic record

VenueJournal of Physics Conference Series · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicNeutrino Physics Research
Canadian institutionsYork University
Fundersnot available
KeywordsNeutrino oscillationExtrapolationDetectorNeutrinoPhysicsFlux (metallurgy)Oscillation (cell signaling)Nuclear physicsParticle physicsNeutrino detectorMeasurements of neutrino speedMixing (physics)Solar neutrinoOpticsStatisticsMathematicsChemistry

Abstract

fetched live from OpenAlex

The T2K experiment is a long-baseline neutrino oscillation experiment. One of its main goals is the discovery of the νµ to νe oscillations governed by the last unknown mixing angle θ13. Additionally T2K aims to make precision measurements of ∆m 2 23 and θ23 oscillation parameters. The experiment uses the two detector approach where a near detector measures the neutrino flux close to the ν source, while a far detector measures the oscillated flux. To determine the oscillation parameters the extrapolation of the measurements at the near detector to the far detector has to be done. Such extrapolation relies on the predictions of the neutrino fluxes for the two detectors. In this paper the estimation of the neutrino flux predictions for the T2K experiment is briefly described. 1.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.303
Teacher spread0.265 · 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 teacher head, 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

Citations1
Published2013
Admission routes1
Has abstractyes

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