Search for direct third-generation squark pair production in final states with missing transverse momentum and two b-jets in $ \sqrt{s}=8 $ TeV pp collisions with the ATLAS detector
Bibliographic record
Abstract
A bstract The results of a search for pair production of supersymmetric partners of the Standard Model third-generation quarks are reported. This search uses 20.1 fb −1 of pp collisions at $ \sqrt{s}=8 $ TeV collected by the ATLAS experiment at the Large Hadron Collider. The lightest bottom and top squarks ( $ {{\widetilde{b}}_1} $ and $ {{\widetilde{t}}_1} $ respectively) are searched for in a final state with large missing transverse momentum and two jets identified as originating from b -quarks. No excess of events above the expected level of Standard Model background is found. The results are used to set upper limits on the visible cross section for processes beyond the Standard Model. Exclusion limits at the 95 % confidence level on the masses of the third-generation squarks are derived in phenomenological supersymmetric R -parity-conserving models in which either the bottom or the top squark is the lightest squark. The $ {{\widetilde{b}}_1} $ is assumed to decay via $ {{\widetilde{b}}_1}\to b_{{\chi 1}}^{{\sim 0}} $ and the $ {{\widetilde{t}}_1} $ via $ {{\widetilde{t}}_1}\to b_{{\chi 1}}^{{\sim \pm }} $ , with undetectable products of the subsequent decay of the $ _{{\chi 1}}^{{\sim \pm }} $ due to the small mass splitting between the $ _{{\chi 1}}^{{\sim \pm }} $ and the $ _{{\chi 1}}^{{\sim 0}} $ .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.002 | 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".