Jet Fragmentation in p+Pb Collisions
Bibliographic record
Abstract
A measurement of jet fragmentation functions into charged particles in $\\\\sqrt{s_{\\\\mathrm{NN}}}$=5.02TeV p+Pb collisions and pp collisions at $\\\\sqrt{s}$=2.76 TeV is presented. The analysis utilizes 28 nb$^{-1}$ of p+Pb data and 4.0 pb$^{-1}$ of pp data both collected in 2013 by the ATLAS detector at the LHC. The measurement is reported in the center of mass frame in the range $|y^*|<$1.6 as a function of the charged-particle longitudinal momentum fraction and for jets with transverse momentum 45 $ < p_{T} <$ 260 GeV and charged particles with $p_{T}>3.5$ GeV. The $\\\\sqrt{s}$=2.76 TeV pp fragmentation functions were extrapolated to $\\\\sqrt{s}$=5.02 TeV in order to provide a comparison for the p+Pb fragmentation functions. Differences are observed between the fragmentation functions measured in pPb collisions and the extrapolated pp fragmentation functions at high-$z$ which are not statistical in nature.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".