Charged-Particle Multiplicity<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi mathvariant="italic">p</mml:mi><mml:mrow><mml:mrow><mml:mover><mml:mrow><mml:mi>p</mml:mi></mml:mrow><mml:mrow><mml:mi>¯</mml:mi></mml:mrow></mml:mover></mml:mrow></mml:mrow></mml:math>Collisions at<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msqrt><mml:mrow><mml:mi mathvariant="italic">s</mml:mi></mml:mrow></mml:msqrt><mml:mspace/><mml:mo>=</mml:mo><mml:mspace/><mml:mn>1.8</mml:mn><mml:mn/><mml:mi/><mml:mi>TeV</mml:mi></mml:math>
Bibliographic record
Abstract
We report on a measurement of the mean charged-particle multiplicity of jets in dijet events with dijet masses in the range $80--630\mathrm{GeV}/{c}^{2}$, produced at the Tevatron in $p\overline{p}$ collisions with $\sqrt{s}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}1.8\mathrm{TeV}$ and recorded by the Collider Detector at Fermilab. The data are fit to perturbative-QCD calculations carried out in the framework of the modified leading log approximation and the hypothesis of local parton-hadron duality. The fit yields values for two parameters in that framework: the ratio of parton multiplicities in gluon and quark jets, $r\ensuremath{\equiv}{N}_{\mathrm{partons}}^{g\ensuremath{-}\mathrm{jet}}{/N}_{\mathrm{partons}}^{q\ensuremath{-}\mathrm{jet}}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}1.7\ifmmode\pm\else\textpm\fi{}0.3$, and the ratio of the number of charged hadrons to the number of partons in a jet, ${K}_{\mathrm{LPHD}}^{\mathrm{charged}}\ensuremath{\equiv}{N}_{\mathrm{hadrons}}^{\mathrm{charged}}{/N}_{\mathrm{partons}}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}0.57\ifmmode\pm\else\textpm\fi{}0.11$.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.485 | 0.407 |
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".