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It is anticipated that hard double parton scatterings will occur frequently in the collisions of the LHC, producing interesting signals and significant backgrounds to certain single scattering processes. For double scattering processes in…

高能物理 - 唯象学 · 物理学 2015-03-13 Jonathan R. Gaunt , W. James Stirling

Multi-parton distributions in a proton, the nonperturbative quantities needed to make predictions for multiple scattering rates, are poorly constrained from theory and data and must be modelled. All Monte Carlo event generators that…

高能物理 - 唯象学 · 物理学 2023-03-01 Oleh Fedkevych , Jonathan R. Gaunt

We construct a model for double parton distribution functions (dPDFs) based on the notion of self-similarity, pursued earlier for small \textit{x} physics at HERA. The most general form of dPDFs contains total thirteen parameters to be…

高能物理 - 唯象学 · 物理学 2013-07-08 D K Choudhury , Akbari Jahan

Double parton distribution functions (DPDFs) are used in the QCD description of double parton scattering. The DPDFs evolve with hard scales through QCD evolution equations which obey nontrivial momentum and valence quark number sum rules.…

高能物理 - 唯象学 · 物理学 2014-07-30 Krzysztof Golec-Biernat , Emilia Lewandowska

Double parton distribution functions (dPDFs), entering the double parton scattering (DPS) cross section, are unknown fundamental quantities encoding new interesting properties of hadrons. Here, the pion dPDFs are investigated within…

高能物理 - 唯象学 · 物理学 2020-08-26 Matteo Rinaldi

Double parton distribution functions (DPDFs) are used in the QCD description of double parton scattering. The DPDFs evolve with hard scales through relatively new QCD evolution equations which obey nontrivial momentum and valence quark…

高能物理 - 唯象学 · 物理学 2013-12-20 Krzysztof Golec-Biernat , Emilia Lewandowska

In double parton scattering (DPS), two partonic collisions take place between one pair of colliding hadrons. The effect of DPS can be significant for precision measurements due to the additional radiation from secondary partonic collisions,…

高能物理 - 唯象学 · 物理学 2024-02-06 Max Jaarsma , Rudi Rahn , Wouter J. Waalewijn

Study of parton distribution functions (PDFs) has led to a finer cognisance of the structure of partons in hadrons and the proton structure functions in deep inelastic scattering (DIS). PDFs are instrumental in predicting results for most…

高能物理 - 唯象学 · 物理学 2025-10-02 Akbari Jahan , Diptimonta Neog

In this contribution we discuss the main outcomes of our studies on the so called double parton distribution functions (dPDFs), accessible quantities in high energy proton-proton and proton nucleus collisions, in double parton scattering…

高能物理 - 唯象学 · 物理学 2020-01-08 Matteo Rinaldi

A selection of the latest and most frequently used parton distribution functions (PDFs) is incorporated in Pythia8, including the Monte Carlo-adapted PDFs from the MSTW and CTEQ collaborations. This article examines the differences in PDFs…

高能物理 - 唯象学 · 物理学 2010-11-19 Tomas Kasemets , Torbjörn Sjöstrand

Parton Distribution Functions (PDFs) are a key ingredient in theoretical predictions for Large Hadron Collider (LHC) observables and play a central role in the extraction of precision Standard Model (SM) and Beyond the SM (BSM) parameters…

In this talk we present the results of the investigation on the so called double parton distribution functions (dPDFs), accessible quantities in high energy proton-proton and proton nucleus collisions, in double parton scattering processes…

高能物理 - 唯象学 · 物理学 2021-02-03 Matteo Rinaldi

Quasi parton distribution functions (QPDFs) are defined in terms of QCD fields at spacelike separations evaluated in matrix elements of hadrons moving with velocity $v$. These objects can be studied in lattice QCD. In the limit when $v$…

高能物理 - 唯象学 · 物理学 2026-05-13 Fatma Aslan , Asli Tandogan , Peter Schweitzer

We apply the Lagrange Multiplier method to study the uncertainties of physical predictions due to the uncertainties of parton distribution functions (PDFs), using the cross section for W production at a hadron collider as an archetypal…

高能物理 - 唯象学 · 物理学 2009-09-25 D. Stump , J. Pumplin , R. Brock , D. Casey , J. Huston , J. Kalk , H. L. Lai , W. K. Tung

Double parton distribution functions (dPDFs), measurable in hadron-hadron collisions and encoding information on how partons inside a proton are correlated among each other, could represent a new tool to explore the three dimensional…

高能物理 - 唯象学 · 物理学 2017-04-03 Matteo Rinaldi , Sergio Scopetta , Vicente Vento , Marco Traini , Federico Alberto Ceccopieri

We examine the dependence of parton distribution functions (PDFs) on the value of the QCD coupling strength $\alpha_{s}(M_{Z})$. We explain a simple method that is rigorously valid in the quadratic approximation normally applied in PDF…

高能物理 - 唯象学 · 物理学 2014-11-20 Hung-Liang Lai , Joey Huston , Zhao Li , Pavel Nadolsky , Jon Pumplin , Daniel Stump , C. -P. Yuan

We present a methodology for the construction of parton distribution functions (PDFs) designed to provide an accurate representation of PDF uncertainties for specific processes or classes of processes with a minimal number of PDF error…

高能物理 - 唯象学 · 物理学 2016-06-17 Stefano Carrazza , Stefano Forte , Zahari Kassabov , Juan Rojo

In this work, a new Monte-Carlo simulation of double parton scattering (DPS) at parton level is presented. The simulation is based on the QCD framework developed recently by M. Diehl, J. R. Gaunt and K. Sch\"{o}nwald. With this framework,…

高能物理 - 唯象学 · 物理学 2019-11-18 Baptiste Cabouat , Jonathan R. Gaunt , Kiran Ostrolenk

Double parton distribution functions (dPDFs) represent a tool to explore the 3D partonic structure of the proton. They can be measured in high energy proton-proton and proton nucleus collisions and encode information on how partons inside a…

高能物理 - 唯象学 · 物理学 2018-04-04 Matteo Rinaldi

Double parton scattering provides a sensitive probe of multi parton correlations inside hadrons. In this work we present a numerical study of unintegrated double parton distribution functions constructed from non-factorized collinear DPDFs.…

高能物理 - 唯象学 · 物理学 2026-05-18 R. Kord Valeshabadi , S. Rezaie , K. Azizi
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