Double parton interactions in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>γ</mml:mi><mml:mo>+</mml:mo><mml:mn>3</mml:mn></mml:math>jet events 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>¯</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 have used a sample of $\ensuremath{\gamma}+3$ jets events collected by the D0 experiment with an integrated luminosity of about $1\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ to determine the fraction of events with double parton scattering (${f}_{\mathrm{DP}}$) in a single $p\overline{p}$ collision at $\sqrt{s}=1.96\text{ }\text{ }\mathrm{TeV}$. The DP fraction and effective cross section (${\ensuremath{\sigma}}_{\mathrm{eff}}$), a process-independent scale parameter related to the parton density inside the nucleon, are measured in three intervals of the second (ordered in ${p}_{T}$) jet transverse momentum ${p}_{T}^{\mathrm{jet}2}$ within the range $15\ensuremath{\le}{p}_{T}^{\mathrm{jet}2}\ensuremath{\le}30\text{ }\text{ }\mathrm{GeV}$. In this range, ${f}_{\mathrm{DP}}$ varies between $0.23\ensuremath{\le}{f}_{\mathrm{DP}}\ensuremath{\le}0.47$, while ${\ensuremath{\sigma}}_{\mathrm{eff}}$ has the average value ${\ensuremath{\sigma}}_{\mathrm{eff}}^{\mathrm{ave}}=16.4\ifmmode\pm\else\textpm\fi{}0.3(\mathrm{stat})\ifmmode\pm\else\textpm\fi{}2.3(\mathrm{syst})\text{ }\text{ }\mathrm{mb}$.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.394 | 0.153 |
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".