Measurement of the ratio of the <i>pp</i> → <i>W+c</i>-jet cross section to the inclusive p¯p → W+jets cross section
Bibliographic record
Abstract
We present a measurement of the fraction of inclusive W+jets events produced with net charm quantum number ±1, denoted W+c-jet, in pp collisions at √s = 1.96 TeV using approximately 1 fb-1 of data collected by the D0 detector at the Fermilab Tevatron Collider. We identify the W+jets events via the leptonic W boson decays. Candidate W+c-jet events are selected by requiring a jet containing a muon in association with a reconstructed W boson and exploiting the charge correlation between this muon and W boson decay lepton to perform a nearly model-independent background subtraction. We measure the fraction of W+c-jet events in the inclusive W+jets sample for jet pT > 20 GeV and pseudorapidity |η| < 2.5 to be 0.074±0.019(stat.)±0.012 0.014 (syst.), in agreement with theoretical predictions. The probability that background fluctuations could produce the observed fraction of W+c-jet events is estimated to be 2.5 × 10-4, which corresponds to a 3.5 σ statistical significance.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".