Combination of searches for the Higgs boson using the full CDF data set
Bibliographic record
Abstract
We present a combination of searches for the standard model Higgs boson using the full CDF run II data set, which corresponds to an integrated luminosity of $9.45--10.0\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ collected from $\sqrt{s}=1.96\text{ }\text{ }\mathrm{TeV}$ $p\overline{p}$ collisions at the Fermilab Tevatron. The searches consider Higgs boson production from gluon-gluon fusion, vector-boson fusion, and associated production with either a $W$ or $Z$ boson or a $t\overline{t}$ pair. Depending on the production mode, Higgs boson decays to ${W}^{+}{W}^{\ensuremath{-}}$, $ZZ$, $b\overline{b}$, ${\ensuremath{\tau}}^{+}{\ensuremath{\tau}}^{\ensuremath{-}}$, and $\ensuremath{\gamma}\ensuremath{\gamma}$ are examined. We search for a Higgs boson with masses (${m}_{H}$) in the range $90--200\text{ }\text{ }\mathrm{GeV}/{c}^{2}$. In the absence of a signal, we expect based on combined search sensitivity to exclude at the 95% credibility level the mass regions $90<{m}_{H}<94\text{ }\text{ }\mathrm{GeV}/{c}^{2}$, $96<{m}_{H}<106\text{ }\text{ }\mathrm{GeV}/{c}^{2}$, and $153<{m}_{H}<175\text{ }\text{ }\mathrm{GeV}/{c}^{2}$. The observed exclusion regions are $90<{m}_{H}<102\text{ }\text{ }\mathrm{GeV}/{c}^{2}$ and $149<{m}_{H}<172\text{ }\text{ }\mathrm{GeV}/{c}^{2}$. A moderate excess of signal-like events relative to the background expectation at the level of 2.0 standard deviations is present in the data for the ${m}_{H}=125\text{ }\text{ }\mathrm{GeV}/{c}^{2}$ search hypothesis. We also present interpretations of the data within the context of a fermiophobic model and an alternative standard model incorporating a fourth generation of fermions. Finally, for the hypothesis of a new particle with mass $125\text{ }\text{ }\mathrm{GeV}/{c}^{2}$, we constrain the coupling strengths of the new particle to ${W}^{\ifmmode\pm\else\textpm\fi{}}$ bosons, $Z$ bosons, and fermions.
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".