Bibliographic record
Abstract
We present an update to CMS plans to search for physics beyond the standard model using dijets.We study jet cleanup, jet response versus η, optimization of |η| cuts, and the dijet mass resolution.Estimates are presented for both the QCD background and signals of new physics with a focus on the integrated luminosities 10 pb -1 , 100 pb -1 , and 1 fb -1 expected early in LHC running.The inclusive cross section as a function of jet p T is a first simple measure of QCD dijets which is sensitive to a 3 TeV contact interaction with only 10 pb -1 .With the dijet mass distribution we expect to be able to observe dijet resonances with large cross sections, such as a 2 TeV excited quark which produces a convincing signal with only 100 pb -1 .With the dijet ratio, a simple angular measurement, we expect to be able to discover a contact interaction scale Λ + of 4, 7 and 10 TeV for integrated luminosities of 10 pb -1 , 100 pb -1 , and 1 fb -1 respectively.Using the dijet ratio we can discover or confirm a dijet resonance, and eventually measure its spin.With 100 pb -1 a 2 TeV resonance with the production rate of an excited quark produces a convincing signal in the dijet ratio.
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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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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".