Observation and measurements of the production of prompt and non-prompt (Formula presented.) mesons in association with a (Formula presented.) boson in (Formula presented.) collisions at (Formula presented.) with the ATLAS detector
Bibliographic record
Abstract
© 2015, CERN for the benefit of the ATLAS collaboration. The production of a (Formula presented.) boson in association with a (Formula presented.) meson in proton–proton collisions probes the production mechanisms of quarkonium and heavy flavour in association with vector bosons, and allows studies of multiple parton scattering. Using (Formula presented.) of data collected with the ATLAS experiment at the LHC in (Formula presented.) collisions at (Formula presented.) , the first measurement of associated (Formula presented.) production is presented for both prompt and non-prompt (Formula presented.) production, with both signatures having a significance in excess of (Formula presented.). The inclusive production cross-sections for (Formula presented.) boson production (analysed in (Formula presented.) or (Formula presented.) decay modes) in association with prompt and non-prompt (Formula presented.) are measured relative to the inclusive production rate of (Formula presented.) bosons in the same fiducial volume to be (Formula presented.) and (Formula presented.) respectively. Normalised differential production cross-section ratios are also determined as a function of the (Formula presented.) transverse momentum. The fraction of signal events arising from single and double parton scattering is estimated, and a lower limit of (Formula presented.) at (Formula presented.) confidence level is placed on the effective cross-section regulating double parton interactions.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".