Measurement of the nuclear modification factor for inclusive jets in Pb+Pb collisions at $\sqrt{s_\mathrm{NN}}=5.02$ TeV with the ATLAS detector
Bibliographic record
Abstract
CERN-LHC. Measurements of the yield and nuclear modification factor, $R_{\mathrm {AA}}$, for inclusive jets are performed using $0.49$ nb$^{-1}$ of Pb+Pb data at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV and 25 pb$^{-1}$ of pp data at $\sqrt{s}=5.02$ TeV. Jets are reconstructed with the anti-$k_{t}$ algorithm with radius parameter $R=0.4$ and are measured over the transverse momentum range of 50--1000 GeV in six rapidity intervals covering $|y|<2.8$. The magnitude of $R_{\mathrm {AA}}$ increases with increasing $p_{\mathrm {T}}$ reaching a value of $\approx 0.6$ near the $p_{\mathrm {T}}$ of 1 TeV in the most central collisions. The magnitude of the $R_{\mathrm {AA}}$ decreases towards increasingly peripheral collisions. The $R_{\mathrm {AA}}$ is independent of rapidity at low jet-$p_{\mathrm {T}}$ but it is observed to decrease with increasing rapidity at high $p_{\mathrm {T}}$.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".