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相关论文: TMD PDFs: a Monte Carlo implementation for the sea…

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We establish robust relations between Transverse Momentum Dependent distributions (TMDs) and collinear distributions. We define weighted integrals of TMDs that we call Transverse Momentum Moments (TMMs) and prove that TMMs are equal to…

高能物理 - 唯象学 · 物理学 2025-01-27 Oscar del Rio , Alexei Prokudin , Ignazio Scimemi , Alexey Vladimirov

We present a covariant formulation and model calculations of transverse momentum-dependent quark distribution functions (TMDs) for spin-one hadrons. Emphasis is placed on a description of these 3-dimensional distribution functions which is…

核理论 · 物理学 2017-11-01 Yu Ninomiya , Wolfgang Bentz , Ian C. Cloët

Transverse-momentum dependent parton distributions (TMDs) are studied in the framework of quark models. Results for the six T-even TMDs are obtained from the overlap of three-quark light-cone wave functions, using both the chiral…

高能物理 - 唯象学 · 物理学 2011-09-28 Cedric Lorce , Barbara Pasquini

We present studies of double longitudinal spin asymmetries in semi-inclusive deep inelastic scattering using a new dedicated Monte Carlo generator, which includes quark intrinsic transverse momentum within the generalized parton model based…

高能物理 - 实验 · 物理学 2015-06-12 M. Aghasyan , H. Avakian

We study the transverse momentum dependent (TMD) parton distributions at small-x in a consistent framework that takes into account the TMD evolution and small-x evolution simultaneously. The small-x evolution effects are included by…

高能物理 - 唯象学 · 物理学 2017-06-28 Bo-Wen Xiao , Feng Yuan , Jian Zhou

We give an overview of the current status of perturbative QCD factorization theorems in processes that involve transverse momentum dependent (TMD) parton distribution functions (PDFs) and fragmentation functions (FF). We enumerate those…

高能物理 - 唯象学 · 物理学 2011-07-21 S. M. Aybat , T. C. Rogers

We propose a sophisticated framework for high-energy hadronic collisions, wherein different QCD physics processes are interleaved in a common sequence of falling transverse-momentum values. Thereby phase-space competition is introduced…

高能物理 - 唯象学 · 物理学 2016-09-06 T. Sjöstrand , P. Skands

We investigate the predictive power of transverse-momentum-dependent (TMD) distributions as a function of the light-cone momentum fraction $x$ and the hard scale $Q$ defined by the process. We apply the saddle point approximation to the…

高能物理 - 唯象学 · 物理学 2020-07-03 Manvir Grewal , Zhong-Bo Kang , Jian-Wei Qiu , Andrea Signori

A new method for combining QCD matrix elements and parton showers in Monte Carlo simulations of hadronic final states is outlined. The aim is to provide at least a leading-order description of all hard multi-jet configurations together with…

高能物理 - 唯象学 · 物理学 2007-05-23 B. R. Webber

A main difficulty in understanding the dynamics of jets produced in the high-density environment of ultrarelativistic heavy ion collision, is to provide a unified description for the two sources of radiation that are a priori expected: the…

高能物理 - 唯象学 · 物理学 2018-12-14 Paul Caucal , Edmond Iancu , Alfred H. Mueller , Gregory Soyez

Leading and subleading twist transverse momentum dependent parton distribution functions (TMDs) are studied in a quark model framework provided by the bag model. A complete set of relations among different TMDs is derived, and the question…

高能物理 - 唯象学 · 物理学 2011-10-14 H. Avakian , A. V. Efremov , P. Schweitzer

In this talk, we summarize how QCD evolution can be exploited to improve the treatment of transverse momentum dependent (TMD) parton distribution and fragmentation functions. The methods allow existing non-perturbative fits to be turned…

高能物理 - 唯象学 · 物理学 2011-10-28 S. Mert Aybat , Ted C. Rogers

The parton branching method is crucial for Monte Carlo generators, which are essential for high-energy physics predictions. We examine the impact of soft gluons on inclusive collinear and Transverse Momentum Dependent (TMD) parton…

高能物理 - 唯象学 · 物理学 2024-10-10 S. Taheri Monfared

We present a Monte Carlo implementation of medium-induced gluon radiation in the final-state branching process. Medium effects are introduced through an additive term in the splitting functions. We have implemented such modification within…

高能物理 - 唯象学 · 物理学 2009-07-22 N. Armesto , L. Cunqueiro , C. A. Salgado

We show that the gauge-invariant transverse-momentum-dependent (TMD) quark distribution function can be expressed as a sum of all higher-twist collinear parton matrix elements in terms of a transport operator. From such a general…

高能物理 - 唯象学 · 物理学 2008-11-26 Zuo-tang Liang , Xin-Nian Wang , Jian Zhou

We perform a comprehensive new Monte Carlo analysis of high-energy lepton-lepton, lepton-hadron and hadron-hadron scattering data to simultaneously determine parton distribution functions (PDFs) in the proton and parton to hadron…

高能物理 - 唯象学 · 物理学 2021-10-20 E. Moffat , W. Melnitchouk , T. C. Rogers , N. Sato

Generalized transverse momentum dependent parton distributions (GTMDs), as mother funtions of transverse momentum dependent parton distributions (TMDs) and generalized parton distributions (GPDs), encode the most general parton structure of…

高能物理 - 唯象学 · 物理学 2020-12-01 Xuan Luo , Hao Sun

Transverse-momentum-dependent parton distribution and fragmentation functions describe the partonic structure of the nucleon in a three-dimensional momentum space. They are subjects of flourishing theoretical and experimental activity. They…

高能物理 - 唯象学 · 物理学 2009-08-24 Alessandro Bacchetta

We study the structure of generalized parton distributions in impact parameter space with the aim of determining the size and role of small transverse separations components in the quarks wave function. We analyze the relation between…

高能物理 - 唯象学 · 物理学 2009-11-10 S. Liuti , S. K. Taneja

We develop a framework for a systematic resummation of the transverse momentum distribution of top-quark pairs produced at hadron colliders based on effective field theory. Compared to Drell-Yan and Higgs production, a novel soft function…

高能物理 - 唯象学 · 物理学 2013-03-14 Hua Xing Zhu , Chong Sheng Li , Hai Tao Li , Ding Yu Shao , Li Lin Yang