Search for the standard model Higgs boson produced in association with a<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mi>W</mml:mi><mml:mo mathvariant="bold">±</mml:mo></mml:msup></mml:math>boson with<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mn>7.5</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:msup><mml:mi>fb</mml:mi><mml:mrow><mml:mo mathvariant="bold">−</mml:mo><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:math>integrated luminosity at CDF
Bibliographic record
Abstract
We present a search for the standard model Higgs boson produced in association with a ${W}^{\ifmmode\pm\else\textpm\fi{}}$ boson. This search uses data corresponding to an integrated luminosity of $7.5\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ collected by the CDF detector at the Tevatron. We select $WH\ensuremath{\rightarrow}\ensuremath{\ell}\ensuremath{\nu}b\overline{b}$ candidate events with two jets, large missing transverse energy, and exactly one charged lepton. We further require that at least one jet be identified to originate from a bottom quark. Discrimination between the signal and the large background is achieved through the use of a Bayesian artificial neural network. The number of tagged events and their distributions are consistent with the standard model expectations. We observe no evidence for a Higgs boson signal and set 95% C.L. upper limits on the $WH$ production cross section times the branching ratio to decay to $b\overline{b}$ pairs, $\ensuremath{\sigma}(p\overline{p}\ensuremath{\rightarrow}{W}^{\ifmmode\pm\else\textpm\fi{}}H)\ifmmode\times\else\texttimes\fi{}\mathcal{B}(H\ensuremath{\rightarrow}b\overline{b})$, relative to the rate predicted by the standard model. For the Higgs boson mass range of $100$ to $150\text{ }\text{ }\mathrm{GeV}/{c}^{2}$ we set observed (expected) upper limits from 1.34 (1.83) to 38.8 (23.4). For $115\text{ }\text{ }\mathrm{GeV}/{c}^{2}$ the upper limit is 3.64 (2.78). The combination of the present search with an independent analysis that selects events with three jets yields more stringent limits ranging from 1.12 (1.79) to 34.4 (21.6) in the same mass range. For 115 and $125\text{ }\text{ }\mathrm{GeV}/{c}^{2}$ the upper limits are 2.65 (2.60) and 4.36 (3.69), respectively.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".