Measurement of the inclusive<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>ν</mml:mi><mml:mi>μ</mml:mi></mml:msub></mml:math>charged current cross section on iron and hydrocarbon in the T2K on-axis neutrino beam
Bibliographic record
Abstract
We report a measurement of the ${\ensuremath{\nu}}_{\ensuremath{\mu}}$ inclusive charged current cross sections on iron and hydrocarbon in the Tokai-to-Kamioka (T2K) on-axis neutrino beam. The measured inclusive charged current cross sections on iron and hydrocarbon averaged over the T2K on-axis flux with a mean neutrino energy of 1.51 GeV are $(1.444\ifmmode\pm\else\textpm\fi{}0.002(\text{stat}{)}_{\ensuremath{-}0.157}^{+0.189}(\text{syst}))\ifmmode\times\else\texttimes\fi{}1{0}^{\ensuremath{-}38}\text{ }\text{ }{\mathrm{cm}}^{2}/\text{nucleon}$ and $(1.379\ifmmode\pm\else\textpm\fi{}0.009(\text{stat}{)}_{\ensuremath{-}0.147}^{+0.178}(\text{syst}))\ifmmode\times\else\texttimes\fi{}1{0}^{\ensuremath{-}38}\text{ }\text{ }{\mathrm{cm}}^{2}/\phantom{\rule{0ex}{0ex}}\text{nucleon}$, respectively, and their cross-section ratio is $1.047\ifmmode\pm\else\textpm\fi{}0.007(\text{stat})\ifmmode\pm\else\textpm\fi{}0.035(\text{syst})$. These results agree well with the predictions of the neutrino interaction model, and thus we checked the correct treatment of the nuclear effect for iron and hydrocarbon targets in the model within the measurement precisions.
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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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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.
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".