First measurement of the muon neutrino charged current single pion production cross section on water with the T2K near detector
Bibliographic record
Abstract
The T2K off-axis near detector, ND280, is used to make the first differential cross section measurements of muon neutrino charged current single positive pion production on a water target at energies $\ensuremath{\sim}0.8\text{ }\text{ }\mathrm{GeV}$. The differential measurements are presented as a function of the muon and pion kinematics, in the restricted phase space defined by ${p}_{{\ensuremath{\pi}}^{+}}>200\text{ }\text{ }\mathrm{MeV}/c$, ${p}_{\ensuremath{\mu}}>200\text{ }\text{ }\mathrm{MeV}/c$, $\mathrm{cos}({\ensuremath{\theta}}_{{\ensuremath{\pi}}^{+}})>0.3$ and $\mathrm{cos}({\ensuremath{\theta}}_{\ensuremath{\mu}})>0.3$. The total flux integrated ${\ensuremath{\nu}}_{\ensuremath{\mu}}$ charged current single positive pion production cross section on water in the restricted phase space is measured to be $⟨\ensuremath{\sigma}{⟩}_{\ensuremath{\phi}}=4.25\ifmmode\pm\else\textpm\fi{}0.48(\mathrm{stat})\ifmmode\pm\else\textpm\fi{}1.56(\mathrm{syst})\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}40}\text{ }\text{ }{\mathrm{cm}}^{2}/\text{nucleon}$. The total cross section is consistent with the NEUT prediction ($5.03\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}40}\text{ }\text{ }{\mathrm{cm}}^{2}/\text{nucleon}$) and $2\ensuremath{\sigma}$ lower than the GENIE prediction ($7.68\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}40}\text{ }\text{ }{\mathrm{cm}}^{2}/\text{nucleon}$). The differential cross sections are in good agreement with the NEUT generator. The GENIE simulation reproduces well the shapes of the distributions, but overestimates the overall cross section normalization.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".