Differential cross-section measurements of Higgs boson production in the H → τ$^{+}$τ$^{−}$ decay channel in pp collisions at $ \sqrt{s} $ = 13 TeV with the ATLAS detector
Bibliographic record
Abstract
Abstract Differential measurements of Higgs boson production in the τ-lepton-pair decay channel are presented in the gluon fusion, vector-boson fusion (VBF), VH and $$ t\overline{t}H $$ t t ¯ H associated production modes, with particular focus on the VBF production mode. The data used to perform the measurements correspond to 140 fb −1 of proton-proton collisions collected by the ATLAS experiment at the LHC. Two methods are used to perform the measurements: the Simplified Template Cross-Section (STXS) approach and an Unfolded Fiducial Differential measurement considering only the VBF phase space. For the STXS measurement, events are categorized by their production mode and kinematic properties such as the Higgs boson’s transverse momentum ( $$ {p}_{\textrm{T}}^{\textrm{H}} $$ p T H ), the number of jets produced in association with the Higgs boson, or the invariant mass of the two leading jets (m jj ). For the VBF production mode, the ratio of the measured cross-section to the Standard Model prediction for m jj > 1.5 TeV and $$ {p}_{\textrm{T}}^{\textrm{H}} $$ p T H > 200 GeV ( $$ {p}_{\textrm{T}}^{\textrm{H}} $$ p T H < 200 GeV) is $$ {1.29}_{-0.34}^{+0.39} $$ 1.29 − 0.34 + 0.39 ( $$ {0.12}_{-0.33}^{+0.34} $$ 0.12 − 0.33 + 0.34 ). This is the first VBF measurement for the higher- $$ {p}_{\textrm{T}}^{\textrm{H}} $$ p T H criteria, and the most precise for the lower- $$ {p}_{\textrm{T}}^{\textrm{H}} $$ p T H criteria. The fiducial cross-section measurements, which only consider the kinematic properties of the event, are performed as functions of variables characterizing the VBF topology, such as the signed ∆ϕ jj between the two leading jets. The measurements have a precision of 30%–50% and agree well with the Standard Model predictions. These results are interpreted in the SMEFT framework, and place the strongest constraints to date on the CP-odd Wilson coefficient $$ {c}_{H\overset{\sim }{W}} $$ c H W ~ .
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 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".