Measurement of the $ t\overline{t} $ production cross-section in pp collisions at $ \sqrt{s} $ = 5.02 TeV with the ATLAS detector
Bibliographic record
Abstract
The inclusive top-quark pair ($t\bar{t}$) production cross-section $σ_{t\bar{t}}$ is measured in proton-proton collisions at a centre-of-mass energy $\sqrt{s}=5.02$ TeV, using 257 pb$^{-1}$ of data collected in 2017 by the ATLAS experiment at the LHC. The $t\bar{t}$ cross-section is measured in both the dilepton and single-lepton final states of the $t\bar{t}$ system and then combined. The combination of the two measurements yields $σ_{t\bar{t}} = 67.5 \pm 0.9\text{(stat.)} \pm 2.3 \text{(syst.)} \pm 1.1\text{(lumi.)} \pm 0.2\text{(beam)}$ pb, where the four uncertainties reflect the limited size of the data sample, experimental and theoretical systematic effects, and imperfect knowledge of both the integrated luminosity and the LHC beam energy, giving a total uncertainty of 3.9%. The result is in agreement with theoretical quantum chromodynamic calculations at next-to-next-to-leading order in the strong coupling constant, including the resummation of next-to-next-to-leading logarithmic soft-gluon terms, and constrains the parton distribution functions of the proton at large Bjorken-$x$.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| 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".