Search for top squarks decaying to tau sleptons in $pp$ collisions at $\\sqrt{s}= 13$ TeV with the ATLAS detector
Bibliographic record
Abstract
A search for direct pair production of top squarks in final states with two\ntau leptons, $b$-jets, and missing transverse momentum is presented. The\nanalysis is based on proton--proton collision data at $\\sqrt{s} = 13$ TeV\ncorresponding to an integrated luminosity of 36.1 fb$^{-1}$ recorded with the\nATLAS detector at the Large Hadron Collider in 2015 and 2016. Two exclusive\nchannels with either two hadronically decaying tau leptons or one hadronically\nand one leptonically decaying tau lepton are considered. No significant\ndeviation from the Standard Model predictions is observed in the data. The\nanalysis results are interpreted in terms of model-independent limits and used\nto derive exclusion limits on the masses of the top squark $\\tilde t_1$ and the\ntau slepton $\\tilde \\tau_1$ in a simplified model of supersymmetry with a\nnearly massless gravitino. In this model, masses up to $m(\\tilde t_1) = 1.16$\nTeV and $m(\\tilde \\tau_1) = 1.00$ TeV are excluded at 95% confidence level.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".