Substructure dependence of jet cross sections at HERA and determination of #alpha#_s
Bibliographic record
Abstract
Jet substructure and differential cross sections for jets produced in the\nphotoproduction and deep inelastic ep scattering regimes have been measured\nwith the ZEUS detector at HERA using an integrated luminosity of 82.2 pb-1. The\nsubstructure of jets has been studied in terms of the jet shape and subjet\nmultiplicity for jets with transverse energies Et(jet) > 17 GeV. The data are\nwell described by the QCD calculations. The jet shape and subjet multiplicity\nare used to tag gluon- and quark-initiated jets. Jet cross sections as\nfunctions of Et(jet), jet pseudorapidity, the jet-jet scattering angle, dijet\ninvariant mass and the fraction of the photon energy carried by the dijet\nsystem are presented for gluon- and quark-tagged jets. The data exhibit the\nbehaviour expected from the underlying parton dynamics. A value of alphas(Mz)\nof alphas(Mz) = 0.1176 +-0.0009(stat.) -0.0026 +0.0009 (exp.) -0.0072 +0.0091\n(th.) was extracted from the measurements of jet shapes in deep inelastic\nscattering.\n Comment: 67 pages, 17 figures, 24 tables
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".