Measurement of the Azimuthal Angle Dependence of Inclusive Jet Yields inPb+PbCollisions atsNN=2.76<…
Bibliographic record
Abstract
Measurements of the variation of inclusive jet suppression as a function of relative azimuthal angle, $\ensuremath{\Delta}\ensuremath{\phi}$, with respect to the elliptic event plane provide insight into the path-length dependence of jet quenching. ATLAS has measured the $\ensuremath{\Delta}\ensuremath{\phi}$ dependence of jet yields in $0.14\text{ }\text{ }{\mathrm{nb}}^{\ensuremath{-}1}$ of $\sqrt{{s}_{NN}}=2.76\text{ }\text{ }\mathrm{TeV}$ $\mathrm{Pb}+\mathrm{Pb}$ collisions at the LHC for jet transverse momenta ${p}_{T}>45\text{ }\text{ }\mathrm{GeV}$ in different collision centrality bins using an underlying event subtraction procedure that accounts for elliptic flow. The variation of the jet yield with $\ensuremath{\Delta}\ensuremath{\phi}$ was characterized by the parameter, ${v}_{2}^{\mathrm{jet}}$, and the ratio of out-of-plane ($\ensuremath{\Delta}\ensuremath{\phi}\ensuremath{\sim}\ensuremath{\pi}/2$) to in-plane ($\ensuremath{\Delta}\ensuremath{\phi}\ensuremath{\sim}0$) yields. Nonzero ${v}_{2}^{\mathrm{jet}}$ values were measured in all centrality bins for ${p}_{T}<160\text{ }\text{ }\mathrm{GeV}$. The jet yields are observed to vary by as much as 20% between in-plane and out-of-plane directions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".