Search for bottom squark pair production in proton–proton collisions at $$\sqrt{s}=13$$ s = 13 TeV with the ATLAS detector
Bibliographic record
Abstract
The result of a search for pair production of the supersymmetric partner of the Standard Model bottom quark ( $$\tilde{b}^{}_{1} $$ ) is reported. The search uses 3.2 fb $$^{-1}$$ of pp collisions at $$\sqrt{s}=13$$ TeV collected by the ATLAS experiment at the Large Hadron Collider in 2015. Bottom squarks are searched for in events containing large missing transverse momentum and exactly two jets identified as originating from b-quarks. No excess above the expected Standard Model background yield is observed. Exclusion limits at 95 % confidence level on the mass of the bottom squark are derived in phenomenological supersymmetric R-parity-conserving models in which the $$\tilde{b}^{}_{1} $$ is the lightest squark and is assumed to decay exclusively via $$\tilde{b}^{}_{1} \rightarrow b \tilde{\chi }^{0}_{1}$$ , where $$\tilde{\chi }^{0}_{1}$$ is the lightest neutralino. The limits significantly extend previous results; bottom squark masses up to 800 (840) GeV are excluded for the $$\tilde{\chi }^{0}_{1}$$ mass below 360 (100) GeV whilst differences in mass above 100 GeV between the $$\tilde{b}^{}_{1}$$ and the $$\tilde{\chi }^{0}_{1}$$ are excluded up to a $$\tilde{b}^{}_{1} $$ mass of 500 GeV.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".