The Charge Asymmetry in $W$ Boson Production in $p\bar p$ Collisions at the $\sqrt{s} = 1.96$ TeV Using the D0 Detector at the Fermilab Tevatron
Bibliographic record
Abstract
We present a measurement of the W boson charge asymmetry in p $\bar{p}$ collisions using W →ev decays using 750 pb-1 of data collected with the D detector at the Fermilab Tevatron. The electron coverage is extended to |η| < 3.2 and is thus sensitive to Ws generated with low and high x partons. We also measured the charge asymmetry for events with electron ET > 25 GeV, 25 < ET < 35 GeV and ET > 35 GeV. By dividing events into di erent electron ET regions, we can probe di erent W boson rapidity regions, and can provide more constraints on the parton distribution functions (PDFs). Theoretical predictions made using CTEQ6.6 and MRST2004NLO PDFs are compared with the measurement. Our measurement is the most precise W charge asymmetry measurement to date, and this single measurement is superior in precision to the combined world average of all previous W charge asymmetry measurements done at the Tevatron. The measured asymmetry errors are less than the CTEQ6.6 PDF uncertainty for most rapidity bins. The inclusion of our results will further constrain future PDF ts and improve the predictions.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".