Search for Supersymmetry in events with $b$-tagged jets and missing transverse energy in $pp$ collisions at $\\sqrt{s}=13$ TeV with the ATLAS detector
Bibliographic record
Abstract
A search for the supersymmetric partner of the Standard Model bottom and top quarks is presented. The search uses 36.1 fb$^{-1}$ of $pp$ collisions at $\\sqrt{s}=13$ TeV collected by the ATLAS experiment at the Large Hadron Collider. Direct production of pairs of bottom and top squarks ($\\tilde{b}_1$ and $\\tilde{t}_1$) is searched for in final states with $b$-tagged jets and missing transverse momentum. Distinctive selections are defined with either no charged leptons (electrons and muons) in the final state, or one charged lepton. The zero-lepton selection targets models in which the $\\tilde{b}_1$ is the lightest squark and is assumed to decay via $\\tilde{b}_1 \\rightarrow b \\tilde{\\chi}_1^0$, where $\\tilde{\\chi}_1^0$ is the lightest neutralino. The one-lepton final state targets models where bottom or top squarks are produced and can decay into multiple channels, $\\tilde{b}_1 \\rightarrow b \\tilde{\\chi}_1^0$ and $\\tilde{b}_1 \\rightarrow t \\tilde{chi}_1^{\\pm}$, or $\\tilde{t}_1 \\rightarrow t \\tilde{\\chi}_1^0$ and $\\tilde{t}_1 \\rightarrow b \\tilde{\\chi}_1^{\\pm}$, where $\\tilde{\\chi}_1^{\\pm}$ is the lightest chargino and the mass difference $m_{\\tilde{\\chi}_1^{\\pm}}- m_{\\tilde{\\chi}_1^0}$ is set to 1 GeV. No excess above the expected Standard Model background yields is observed. Exclusion limits at 95\\% confidence level on the mass of the bottom squark are derived in various supersymmetric-inspired simplified models.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".