Measurement of the W+W− Production Cross Section and Differential Cross Sections with Jets in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"> <mml:mi>p</mml:mi> <mml:mover accent="true"> <mml:mrow> <mml:mi>p</mml:mi> </mml:mrow> <mml:mo>‾</mml:mo> </mml:mover> </mml:math> Collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.gif" overflow="scroll"> <mml:msqrt> <mml:mi>s</mml:mi> </mml:msqrt> <mml:mo>=</mml:mo> <mml:mn>1.96</mml:mn> <mml:mtext> TeV</mml:mtext> </mml:math>
Bibliographic record
Abstract
W + W − production is an interesting process in the gauge sector being produced both by radiation from quarks and multiple gauge boson coupling. It is also a critical background for measurements of Higgs production with decay to WW bosons. A measurement of the W boson pair production cross section with additional jets is presented. This is the first measurement to include the differential cross section as a function of jet multiplicity and leading jet energy, and the most precise measurement of W boson pair production at a p p ‾ collider. The WW cross section is measured in the two charged lepton and two neutrino final state, where the charged leptons are electrons or muons. Using 9.7fb -1 of data collected by the CDF II detector, the total cross section is measured to be σ ( p p ‾ → W + W − + X ) = 14.0 ± 0.6 ( stat ) − 1.0 + 1.2 ( syst ) ± 0.8 ( lumi ) pb , consistent with the Standard Model prediction.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".