Measurement of jet substructure in boosted $t\\bar{t}$ events with the ATLAS detector using 140 fb$^{-1}$ of 13 TeV $pp$ collisions
Bibliographic record
Abstract
Measurements of the substructure of top-quark jets are presented using top quarks produced in $pp$ interactions at 13 TeV and recorded with the ATLAS detector. Top-quark jets reconstructed with the anti-$kt$ algorithm with a radius parameter $R=1.0$ are selected in top-quark pair ($t\\bar{t}$) events with one top quark decaying semileptonically and the other hadronically, and in $t\\bar{t}$ events where both top quarks decay hadronically. The top-quark jets are required to have transverse momentum ($p_{\\mathrm{T}}$) ${>}$ 350 GeV, creating high-statistics data samples for jets with $p_{\\mathrm{T}}$ between 350 and 600 GeV. The one- and two-dimensional differential cross-sections for eight substructure variables, defined using only the charged components of the jets, are measured in a particle-level phase space by correcting for the smearing and acceptance effects induced by the detector. The differential cross-sections are compared to several Monte Carlo (MC) predictions obtained matching top-quark pair production quantum chromodynamic (QCD) predictions at next-to-leading order (NLO) precision in the strong coupling constant $\\alpha_S$ to leading order (LO) parton shower and hadronization generators. The QCD predictions for measures of energy-flow are found to be in good agreement with the measurements while variables sensitive to the three-body structure of the top-quark jets exhibit some tensions with the measured distributions.
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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 | 0.000 |
| 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) | 0.002 | 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".