Inclusive Jet Cross Sections and Dijet Correlations in D* Photoproduction at HERA
Bibliographic record
Abstract
Inclusive jet cross sections in photoproduction for events containing a $D^*$\nmeson have been measured with the ZEUS detector at HERA using an integrated\nluminosity of $78.6 {\\rm pb}^{-1}$. The events were required to have a\nvirtuality of the incoming photon, $Q^2$, of less than 1 GeV$^2$, and a\nphoton-proton centre-of-mass energy in the range $130<W_{\\gamma p}<280 {\\rm\nGeV}$. The measurements are compared with next-to-leading-order (NLO) QCD\ncalculations. Good agreement is found with the NLO calculations over most of\nthe measured kinematic region. Requiring a second jet in the event allowed a\nmore detailed comparison with QCD calculations. The measured dijet cross\nsections are also compared to Monte Carlo (MC) models which incorporate\nleading-order matrix elements followed by parton showers and hadronisation. The\nNLO QCD predictions are in general agreement with the data although differences\nhave been isolated to regions where contributions from higher orders are\nexpected to be significant. The MC models give a better description than the\nNLO predictions of the shape of the measured cross sections.\n Comment: 43 pages, 12 figures, charm jets ZEUS
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".