Bibliographic record
Abstract
Using data taken by the ATLAS detector at √ s = 7 TeV, di-jet and multi-jet events were analyzed for evidence of new physics.The di-jet events were used to set a constraint on quark compositeness, while the multi-jets were used to probe for low-scale gravity and weakly-coupled string theory.For the di-jet analysis, di-jet χ distributions were obtained from a dataset which corresponded to an integrated luminosity of 3.1 pb -1 .Analysis of the χ distributions excludes quark contact interactions at a 95% confidence level up to a compositeness scale of 3.4 TeV.Through multi-body final states, a search was done for evidence of a fundamental scale of gravity, M D , of order 1 TeV.Events with ∑ p T > 700 GeV and invariant mass > 800 GeV were selected from a sample with integrated luminosity of (295 ± 32) nb -1 .This yielded 193 events, all of which were multi-jet events.The number of events was in agreement with the QCD prediction of 254 ± 18(stat.) ± 83(syst.), and an upper limit of 0.34 nb at the 95% confidence level was set for new physics models with these final states.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".