Combination of inclusive and differential t(t)over-bar charge asymmetry measurements using ATLAS and CMS data at root S =7 and 8 TeV
Bibliographic record
Abstract
This paper presents combinations of inclusive and differential measurements\nof the charge asymmetry ($A_{\\mathrm{C}}$) in top quark pair\n($\\mathrm{t}\\overline{\\mathrm{t}}$) events with a lepton+jets signature by the\nATLAS and CMS Collaborations, using data from LHC proton-proton collisions at\ncentre-of-mass energies of 7 and 8 TeV corresponding to integrated luminosities\nof about 5 and 20 fb$^{-1}$ for each experiment, respectively. The resulting\ncombined LHC measurements of the inclusive charge asymmetry are\n$A_{\\mathrm{C}}^{\\mathrm{LHC7}} = 0.005 \\pm0.007 \\text{ (stat)}\\pm0.006 \\text{\n(syst)}$ at 7 TeV and $A_{\\mathrm{C}}^{\\mathrm{LHC8}} = 0.0055 \\pm0.0023\\text{\n(stat)}\\pm0.0025\\text{ (syst)}$ at 8 TeV. These values, as well as the\ncombination of $A_{\\mathrm{C}}$ measurements as a function of the invariant\nmass of the $\\mathrm{t}\\overline{\\mathrm{t}}$ system at 8 TeV, are consistent\nwith the respective standard model predictions.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".