Production of exclusive dijets in diffractive deep inelastic scattering at HERA
Bibliographic record
Abstract
Production of exclusive dijets in diffractive deep inelastic $$e^\pm p$$ scattering has been measured with the ZEUS detector at HERA using an integrated luminosity of 372 pb $$^{-1}$$ . The measurement was performed for $$\gamma ^{*}$$ –p centre-of-mass energies in the range $$90< W < {250}\,{\mathrm{GeV}}$$ and for photon virtualities $$Q^2 > {25}\,{\mathrm{GeV}^{2}}$$ . Energy flows around the jet axis are presented. The cross section is presented as a function of $$\beta $$ and $$\phi $$ , where $$\beta =x/x_\mathrm{I\!P}$$ , x is the Bjorken variable and $$x_\mathrm{I\!P}$$ is the proton fractional longitudinal momentum loss. The angle $$\phi $$ is defined by the $$\gamma ^{*}$$ –dijet plane and the $$\gamma ^{*}$$ – $$e^\pm $$ plane in the rest frame of the diffractive final state. The $$\phi $$ cross section is measured in bins of $$\beta $$ . The results are compared to predictions from models based on different assumptions about the nature of the diffractive exchange.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".