Measurement of inclusive jet charged-particle fragmentation functions in Pb+Pb collisions at sqrt(s_NN) = 2.76 TeV with the ATLAS detector
Bibliographic record
Abstract
CERN-LHC. Measurements of charged-particle fragmentation functions of jets produced in ultra-relativistic nuclear collisions can provide insight into the modification of parton showers in the hot, dense medium created in the collisions. ATLAS has measured jets in sqrt(sNN) = 2.76 TeV PB PB collisions at the LHC using a data set recorded in 2011 with an integrated luminosity of 0.14 nb^{-1}. Jets were reconstructed using the anti-kt algorithm with distance parameter values R = 0.2, 0.3, and 0.4. Here is the summary of results for the charged particle (CH) longitudinal momentum fraction, Z = PT(CH).PT(JET)/ABS(PT(JET))**2, distributions, D(Z) = (1/N(JET))*D(N(CH))/DZ and distributions of transverse momenta of particles in jets, D(PT(CH)) = (1/N(JET))*D(N(CH))/DPT(CH). The jets have PT>100 GeV, |ETA|<2.1, and the particle to jet association is done using geometrical matching with DELTA R <= 0.4 for all three different R values.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".