Measurement of the total and differential cross-sections of $t\\bar{t}W$ production in $pp$ collisions at 13 TeV with the ATLAS detector
Bibliographic record
Abstract
Measurements of both the inclusive and differential production cross-sections of a top-quark-antiquark pair in association with a $W$ boson ($t\\bar{t}W$) are presented. The measurements are performed by targeting final states with two same-sign or three isolated leptons (electrons or muons) and are based on $\\sqrt{s}=13$ TeV proton–proton collision data with an integrated luminosity of 140 fb$^{−1}$, recorded from 2015 to 2018 with the ATLAS detector at the Large Hadron Collider. The inclusive 𝑡𝑡 ̄𝑊 production cross-section is measuredto be $890\\pm80$ fb, compared to the reference theoretical prediction of $722^{+70}_{-78}$ (scale) $\\pm7$ (PDF) fb. Differential cross-section measurements characterise this process in detail for the first time. Several particle-level observables are compared to a variety of theoretical predictions which are generally in good agreement with the normalised differential cross-section results
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".