E61: Reducing Neutrino Interaction Model Dependence For Oscillation Experiments
Bibliographic record
Abstract
Future long-baseline neutrino oscillation parameter measurements will be dominated by systematic rather than statistical uncertainty. The determination of incident neutrino energy based on experimental observables relies on theoretical neutrino-nucleus interaction models, which is the dominant uncertainty for the HK experiment. E61 is an experimental solution to constrain this uncertainty. E61 is a water Cherenkov detector, constructed using multi-PMT modules, that can be raised/lowered to span a 1-4 degree off-axis range. Linear combinations of the near detector flux, at different off-axis angle slices, can be taken to match the far detector flux measurement. Oscillation parameters may then be extracted while largely reducing neutrino interaction model dependence. E61 also enables unique measurements of neutrino cross sections as a function of neutrino energy, can measure far detector intrinsic backgrounds, and neutron emissions from neutrino interactions by doping with Gadolinium.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".