Measurements of normalized differential cross sections for t ¯ t production in p p collisions at √ ( s ) = 7 TeV using the ATLAS detector
Bibliographic record
Abstract
Measurements of normalized differential cross-sections for top-quark pair production are presentedas a function of the top-quark transverse momentum, and of the mass, transverse momentum, and√rapidity of the t t ̄ system, in proton?proton collisions at a center-of-mass energy of s = 7 TeV . Thedataset corresponds to an integrated luminosity of 4.6 fb −1 , recorded in 2011 with the ATLAS detectorat the CERN Large Hadron Collider. Events are selected in the lepton+jets channel, requiring exactlyone lepton and at least four jets with at least one of the jets tagged as originating from a b -quark.The measured spectra are corrected for detector efficiency and resolution effects and are comparedto several Monte Carlo simulations and theory calculations. The results are in fair agreement withthe predictions in a wide kinematic range. Nevertheless, data distributions are softer than predictedfor higher values of the mass of the t t ̄ system and of the top-quark transverse momentum. Themeasurements can also discriminate among different sets of parton distribution functions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".