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Study of double parton interactions in diphoton + dijet events in $p\bar{p}$ collisions at $\sqrt{s} = 1.96$ TeV

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arxiv 1512.05291 v2 pith:2TRRPQ7M submitted 2015-12-16 hep-ex

D0 Collaboration This is my paper
classification hep-ex
keywords collisionsdijetdiphotondoubleeventsinteractionspartonsample
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We use a sample of diphoton + dijet events to measure the effective cross section of double parton interactions, which is found to be $\sigma_{\rm eff} = 19.3$ $\pm$ $1.4({\rm stat})$ $\pm$ $7.8({\rm syst})$ mb. The sample was collected by the D0 detector at the Fermilab Tevatron collider in $p\bar{p}$ collisions at $\sqrt{s} = 1.96$ TeV and corresponds to an integrated luminosity of 8.7 fb$^{-1}$.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Momentum fraction and hard scale dependence of double parton scattering in heavy-ion collisions

    hep-ph 2026-03 conditional novelty 6.0 of 10

    Model predicts final-state-dependent DPS effective cross sections in pPb and PbPb collisions, potentially turning heavy-ion DPS into a probe of transverse hadron and nuclear structure.

  2. Numerical Study of MRW-Type Unintegrated Double Parton Distribution Functions from Non-Factorized DPDFs

    hep-ph 2026-05 unverdicted novelty 5.0 of 10

    Numerical study of MRW-type unintegrated DPDFs constructed from GS09 non-factorized collinear DPDFs via double DGLAP evolution, comparing DMKMRW, DVO-MRW and matched variants.

  3. Momentum fraction and hard scale dependence of double parton scattering

    hep-ph 2025-06 unverdicted novelty 5.0 of 10

    Global fit of an x- and μ-dependent Gaussian model for transverse double parton distributions to LHC and Tevatron data extracts parameters for calculating effective cross sections in other observables.

  4. Valence and sea parton correlations in double parton scattering from data

    hep-ph 2023-05 unverdicted novelty 4.0 of 10

    A phenomenological fit to double parton scattering data assumes distinct transverse correlations for valence and sea partons and finds sea pairs more correlated.

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