Search for electroweak production of supersymmetric particles in final states with two τ-leptons in √s = 13 TeV pp collisions with the ATLAS detector
Bibliographic record
Abstract
Three searches for the direct production of τ-sleptons or charginos and neutralinos in final states with at least two hadronically decaying τ-leptons are presented. For chargino and neutralino production, decays via intermediate τ-sleptons or W and h bosons are considered. The analysis uses a dataset of pp collisions corresponding to an integrated luminosity of 139 fb$^{−1}$, recorded with the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy of 13 TeV. No significant deviation from the expected Standard Model background is observed and supersymmetric particle mass limits at 95% confidence level are obtained in simplified models. For direct production of $ {\overset{\sim }{\chi}}_1^{+}{\overset{\sim }{\chi}}_1^{-} $, chargino masses are excluded up to 970 GeV, while $ {\overset{\sim }{\chi}}_1^{\pm } $ and $ {\overset{\sim }{\chi}}_2^0 $ masses up to 1160 GeV (330 GeV) are excluded for $ {\overset{\sim }{\chi}}_1^{\pm }{\overset{\sim }{\chi}}_2^0/{\overset{\sim }{\chi}}_1^{+}{\overset{\sim }{\chi}}_1^{-} $ production with subsequent decays via τ-sleptons (W and h bosons). Masses of τ-sleptons up to 500 GeV are excluded for mass degenerate $ {\overset{\sim }{\tau}}_{L,R} $ scenarios and up to 425 GeV for $ {\overset{\sim }{\tau}}_L $-only scenarios. Sensitivity to $ {\overset{\sim }{\tau}}_R $-only scenarios from the ATLAS experiment is presented here for the first time, with $ {\overset{\sim }{\tau}}_R $ masses excluded up to 350 GeV.[graphic not available: see fulltext]
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".