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相关论文: Pion-induced Drell-Yan processes within TMD factor…

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We present a first attempt at a global fit of unpolarized quark transverse momentum dependent distribution and fragmentation functions from available data on semi-inclusive deep-inelastic scattering, Drell-Yan and $Z$ boson production…

高能物理 - 唯象学 · 物理学 2017-09-12 Cristian Pisano , Alessandro Bacchetta , Filippo Delcarro , Marco Radici , Andrea Signori

We present a detailed analysis of meson-induced massive lepton (muon) Drell--Yan production for the process $\pi^{-}N\to\mu^{+}\mu^{-}X$, considering both an unpolarized nucleon target and longitudinally polarized protons. Using a QCD…

高能物理 - 唯象学 · 物理学 2008-11-26 A. P. Bakulev , N. G. Stefanis , O. V. Teryaev

We investigate the Sivers asymmetry in the pion-induced single polarized Drell-Yan process in the theoretical framework of the transverse momentum dependent factorization up to next-to-leading logarithmic order of QCD. Within the TMD…

高能物理 - 唯象学 · 物理学 2018-07-13 Xiaoyu Wang , Zhun Lu

We review the current status and future prospect for probing the transverse momentum dependent (TMD) parton distributions using the Drell-Yan process. We focus on the Boer-Mulders and Sivers functions, which are expected to undergo a…

高能物理 - 唯象学 · 物理学 2015-06-23 Jen-Chieh Peng

We study angular distributions in the Drell-Yan process using an extended transverse momentum dependent (TMD) factorization framework that includes kinematic power corrections. This approach allows the description of observables previously…

高能物理 - 唯象学 · 物理学 2025-05-19 Alexey Vladimirov

We study the polarized Drell-Yan processes from the collision of two spin-1/2 hadrons at order 1/Q based on the framework of transverse momentum dependent factorization.We give the complete twist-three results of total sixteen independent…

高能物理 - 唯象学 · 物理学 2015-05-30 Zhun Lu , Ivan Schmidt

Different exclusive processes have been proposed to access the generalized transverse momentum dependent distributions (GTMDs) with no proof of factorization, which allows to rigorously define the GTMDs. Using Soft Collinear Effective…

高能物理 - 唯象学 · 物理学 2023-04-11 Miguel G. Echevarria , Patricia A. Gutierrez Garcia , Ignazio Scimemi

We study transverse momentum dependent factorization and resummation at sub-leading power in Drell-Yan and semi-inclusive deep inelastic scattering. In these processes the sub-leading power contributions to the cross section enter as a…

高能物理 - 唯象学 · 物理学 2023-02-15 Leonard Gamberg , Zhong-Bo Kang , Ding Yu Shao , John Terry , Fanyi Zhao

We present a first practical implementation of a recently proposed hadron structure oriented (HSO) approach to TMD phenomenology applied to Drell-Yan like processes, including lepton pair production at moderate $Q^2$ and $Z^0$ boson…

高能物理 - 唯象学 · 物理学 2024-06-03 F. Aslan , M. Boglione , J. O. Gonzalez-Hernandez , T. Rainaldi , T. C. Rogers , A. Simonelli

Longitudinally polarized, unpolarized and forward-backward mass differential cross sections for Drell-Yan lepton-pair production by arbitrary vector bosons are calculated in next-to-leading order (NLO) QCD. Analytical results are presented…

高能物理 - 唯象学 · 物理学 2009-10-30 B. Kamal

The Drell-Yan process is studied in the framework of TMD factorization in the Sudakov region $s\gg Q^2\gg q_\perp^2$ corresponding to recent LHC experiments with $Q^2$ of order of mass of Z-boson and transverse momentum of DY pair $\sim$…

高能物理 - 唯象学 · 物理学 2021-07-27 Ian Balitsky

It has been observed in the literature that measurements of low-mass Drell-Yan (DY) transverse momentum spectra at low center-of-mass energies $\sqrt{s}$ are not well described by perturbative QCD calculations in collinear factorization in…

The factorization theorems for transverse momentum distributions of dilepton/boson production, recently formulated by Collins and Echevarria-Idilbi-Scimemi in terms of well-defined transverse momentum dependent distributions (TMDs), allows…

高能物理 - 唯象学 · 物理学 2015-06-22 Umberto D'Alesio , Miguel G. Echevarria , Stefano Melis , Ignazio Scimemi

Transverse momentum dependent distribution and fragmentation functions of unpolarized quarks inside unpolarized protons are extracted, for the first time, through a simultaneous analysis of semi-inclusive deep-inelastic scattering,…

高能物理 - 唯象学 · 物理学 2018-01-26 Cristian Pisano , Alessandro Bacchetta , Filippo Delcarro , Marco Radici , Andrea Signori

As part of the DESY summer student program 2021, transverse momentum dependent (TMD) parton distributions obtained from the Parton Branching (PB) method were combined with next-to-leading-order (NLO) using the POWHEG method. Computations of…

We study the spin-dependent quark distributions at large transverse momentum. We derive their transverse momentum behaviors in the collinear factorization approach in this region. We further calculate the angular distribution of the…

高能物理 - 唯象学 · 物理学 2013-05-29 Jian Zhou , Feng Yuan , Zuo-Tang Liang

The COMPASS experiment at CERN is one of the leading experiments studying the nucleon spin structure. Until 2012 the Parton Distribution Functions and the Transverse Momentum Dependent Parton Distribution Functions (TMDs) were extensively…

高能物理 - 实验 · 物理学 2018-04-26 Celso Franco

We determine the valence parton distribution function of the pion by performing a new analysis of data for the Drell-Yan process $\pi^- N\to \mu^+\mu^-X$. Compared to previous analyses, we include next-to-leading-logarithmic threshold…

高能物理 - 唯象学 · 物理学 2010-12-23 Matthias Aicher , Andreas Schäfer , Werner Vogelsang

The Drell-Yan process is an invaluable tool for probing the structure of hadrons, and the pion-induced Drell-Yan process is unique in its sensitivity to several subtleties of the partonic structure. This is a brief review of the pionic…

核理论 · 物理学 2015-06-16 Wen-Chen Chang , Dipangkar Dutta

We present detailed analysis of the $T$-even lepton angular distribution in the Drell-Yan process including $\gamma/Z^0$ gauge boson exchange and using perturbative QCD based on the collinear factorization scheme at leading order in the…

高能物理 - 唯象学 · 物理学 2024-10-29 Valery E. Lyubovitskij , Alexey S. Zhevlakov , Iurii A. Anikin