Search for High Mass Photon Pairs in
Bibliographic record
Abstract
675, Submitted to ICHEP 98, Vancouver, BC, July 1998 Peter J. Wilson Fermi National Accelerator Laboratory for the CDF Collaboration June 29, 1998 Abstract We present results of a search for diphoton resonances produced inclusively and in association with a vector boson using 100 pb \\Gamma1 of p¯p collisions using the CDF detector. We set upper limits on the product of cross section times branching ratio for p¯p ! flfl +X and p¯p ! flfl +W=Z. Using a NLO prediction for associated production cross section of a Higgs with a vector boson (W or Z), we set an upper limit on the branching ratio for H ! flfl. We set a lower limit on the mass of a `bosophilic' Higgs boson (e.g. one which couples only to fl, W , and Z bosons with Standard Model couplings) of 82 GeV=c 2 at 95% C.L. Introduction Many processes in extensions of the Standard Model (SM) result in finalstate signatures involving two vector gauge bosons, V V +X , where V is either a W , Z, or photon. The photon is the lightes...
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".