Measurement of the muon neutrino inclusive charged-current cross section in the energy range of 1–3 GeV with the T2K INGRID detector
Bibliographic record
Abstract
We report a measurement of the ${\ensuremath{\nu}}_{\ensuremath{\mu}}$-nucleus inclusive charged-current cross section ($={\ensuremath{\sigma}}^{cc}$) on iron using data from the INGRID detector exposed to the J-PARC neutrino beam. The detector consists of 14 modules in total, which are spread over a range of off-axis angles from 0\ifmmode^\circ\else\textdegree\fi{} to 1.1\ifmmode^\circ\else\textdegree\fi{}. The variation in the neutrino energy spectrum as a function of the off-axis angle, combined with event topology information, is used to calculate this cross section as a function of neutrino energy. The cross section is measured to be ${\ensuremath{\sigma}}^{cc}(1.1\text{ }\text{ }\mathrm{GeV})=1.10\ifmmode\pm\else\textpm\fi{}0.15$ $(1{0}^{\ensuremath{-}38}\text{ }\text{ }{\mathrm{cm}}^{2}/\text{nucleon})$, ${\ensuremath{\sigma}}^{cc}(2.0\text{ }\text{ }\mathrm{GeV})=2.07\ifmmode\pm\else\textpm\fi{}0.27$ $(1{0}^{\ensuremath{-}38}\text{ }\text{ }{\mathrm{cm}}^{2}/\text{nucleon})$, and ${\ensuremath{\sigma}}^{cc}(3.3\text{ }\text{ }\mathrm{GeV})=2.29\ifmmode\pm\else\textpm\fi{}0.45$ $(1{0}^{\ensuremath{-}38}\text{ }\text{ }{\mathrm{cm}}^{2}/\text{nucleon})$, at energies of 1.1, 2.0, and 3.3 GeV, respectively. These results are consistent with the cross section calculated by the neutrino interaction generators currently used by T2K. More importantly, the method described here opens up a new way to determine the energy dependence of neutrino-nucleus cross sections.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".