Measurement of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mi>D</mml:mi><mml:mo>+</mml:mo></mml:msup></mml:math>-meson production cross section at low transverse momentum in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>p</mml:mi><mml:mover accent="true"><mml:mi>p</mml:mi><mml:mo stretchy="false">¯</mml:mo></mml:mover></mml:math> collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>1.96</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math>
Bibliographic record
Abstract
We report on a measurement of the ${D}^{+}$-meson production cross section as a function of transverse momentum (${p}_{T}$) in proton-antiproton ($p\overline{p}$) collisions at 1.96 TeV center-of-mass energy, using the full data set collected by the Collider Detector at Fermilab in Tevatron Run II and corresponding to $10\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ of integrated luminosity. We use ${D}^{+}\ensuremath{\rightarrow}{K}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}{\ensuremath{\pi}}^{+}$ decays fully reconstructed in the central rapidity region $|y|<1$ with transverse momentum down to $1.5\text{ }\text{ }\mathrm{GeV}/c$, a range previously unexplored in $p\overline{p}$ collisions. Inelastic $p\overline{p}$-scattering events are selected online using minimally biasing requirements followed by an optimized offline selection. The ${K}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}{\ensuremath{\pi}}^{+}$ mass distribution is used to identify the ${D}^{+}$ signal, and the ${D}^{+}$ transverse impact-parameter distribution is used to separate prompt production, occurring directly in the hard-scattering process, from secondary production from $b$-hadron decays. We obtain a prompt ${D}^{+}$ signal of 2950 candidates corresponding to a total cross section $\ensuremath{\sigma}({D}^{+},1.5<{p}_{T}<14.5\text{ }\text{ }\mathrm{GeV}/c,|y|<1)=\phantom{\rule{0ex}{0ex}}71.9\ifmmode\pm\else\textpm\fi{}6.8(\mathrm{stat})\ifmmode\pm\else\textpm\fi{}9.3(\mathrm{syst})\text{ }\text{ }\ensuremath{\mu}\mathrm{b}$. While the measured cross sections are consistent with theoretical estimates in each ${p}_{T}$ bin, the shape of the observed ${p}_{T}$ spectrum is softer than the expectation from quantum chromodynamics. The results are unique in $p\overline{p}$ collisions and can improve the shape and uncertainties of future 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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.012 |
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".