Measurement of angular correlations in Drell-Yan lepton pairs to probe Z/gamma* boson transverse momentum at sqrt(s)=7 TeV with the ATLAS detector
Bibliographic record
Abstract
CERN-LHC. Measurements of the PHI* distributions of di-electron and di-muon Drell-Yan pairs produced in proton-proton collisions at a centre-of-mass energy of 7 TeV. The data sample has an integrated luminosity of 4.6 fb-1. Normalised differential PHI* distributions are presented within the fiducial region of the leptons corrected to three levels, Born, dressed and bare, for QED FSR. The data are presented for di-electron and di-muons separately as well as combined, and also in three regions of rapidity as well as overall. For details of the variables see the text of the article. UPDATE (05 JAN 2015): corrected columns 2,3,4 of Tables 2,3,5,6 due to a bug fixed for bare and dressed cross sections in y-ranges; Table 4, value of the very last bin of the born dimuon, y>1.6, phi*=2.522-3.277 corrected (typo error).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.012 |
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".