Measurement of $t$-channel single-top-quark production in $pp$ collisions at $\sqrt{s} = 5.02$ TeV with the ATLAS detector
Bibliographic record
Abstract
The observation of the electroweak production of single-top-quarks is made using 255 $\text{pb}^{-1}$ of proton-proton collision data recorded at $\sqrt{s} = 5.02$ TeV with the ATLAS detector at the Large Hadron Collider. An event selection is used to identify single-top-quark candidates arising from $t$-channel production with the top quark decaying semi-leptonically. Events passing the selection are then used to measure the inclusive cross-section for the combined production of single-top-quarks and antiquarks, $\sigma({tq + \bar{t}q})$, and the ratio $R_t$ between these two. They are measured to be $\sigma({tq + \bar{t}q}) = 27.1^{+4.4}_{-4.1} (\text{stat.}) ^{+4.4}_{-3.7} (\text{syst.})$ pb and $R_t = 2.73^{+1.43}_{-0.82} (\text{stat.}) ^{+1.01}_{-0.29} (\text{syst.})$. The individual single-top-quark ($t q$) and single-top-antiquark ($\bar{t} q$) production cross-sections are measured to be $\sigma(t q) = 19.8^{+3.9}_{-3.1} (\text{stat.}) ^{+2.9}_{-2.2} (\text{syst.})$ pb and $\sigma(\bar{t}q) = 7.3^{+3.2}_{-2.1} (\text{stat.}) ^{+2.8}_{-1.5} (\text{syst.})$ pb. All measurements are in good agreement with the 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".