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We extract the pion transverse momentum dependent (TMD) parton distribution by fitting the pion-induced Drell-Yan process within the framework of TMD factorization. The analysis is done at the next-to-next-to-leading order (NNLO) with…

高能物理 - 唯象学 · 物理学 2020-01-08 Alexey Vladimirov

I report on precision comparisons of theoretical predictions for Drell-Yan (DY) transverse momentum spectra from two approaches: the analytical resummation approach based on Collins-Soper-Sterman (CSS) formalism and the parton branching…

高能物理 - 唯象学 · 物理学 2021-08-10 Aron Mees van Kampen

We consider QCD radiative corrections to vector-boson production in hadron collisions. We present the next-to-next-to-leading order (NNLO) result of the hard-collinear coefficient function for the all-order resummation of…

高能物理 - 唯象学 · 物理学 2015-06-11 S. Catani , L. Cieri , D. de Florian , G. Ferrera , M. Grazzini

We report on recent results on the differential cross section for slepton pair-production at hadron colliders. We use an approach to threshold resummation, based on soft-collinear effective theory, to quantify the dynamical enhancement of…

高能物理 - 唯象学 · 物理学 2011-11-04 Alessandro Broggio , Matthias Neubert , Leonardo Vernazza

The Drell-Yan process provides important information on the internal structure of hadrons including transverse momentum dependent parton distribution functions (TMDs). In this work we present calculations for all leading twist structure…

高能物理 - 唯象学 · 物理学 2021-02-24 S. Bastami , L. Gamberg , B. Parsamyan , B. Pasquini , A. Prokudin , P. Schweitzer

We compute the next-to-next-to-leading order (NNLO) soft and virtual QCD corrections for the partonic cross section of colourless-final state processes in hadronic collisions. The results are valid to all orders in the dimensional…

高能物理 - 唯象学 · 物理学 2013-02-28 Daniel de Florian , Javier Mazzitelli

We present a novel next-to-next-to-leading order (NNLO) QCD calculation matched to parton shower for the production of a pair of $Z$ bosons decaying to four massless leptons, $p p \to \ell^+ \ell^- \ell'^+ \ell'^- + X$, at the LHC. Spin…

We predict the triple differential cross section of the Drell-Yan process (pbar p -> l^+l^-X) in the kinematical regimes relevant for the upcoming PANDA experiment, using a model that accounts for quark virtuality as well as primordial…

高能物理 - 唯象学 · 物理学 2008-11-26 O. Linnyk , K. Gallmeister , S. Leupold , U. Mosel

We consider higher-order QCD corrections to the production of high-mass systems in hadron collisions within the transverse-momentum (q$_{\rm T}$) subtraction formalism. We present a method to consistently remove the linear power corrections…

高能物理 - 唯象学 · 物理学 2022-07-13 Stefano Camarda , Leandro Cieri , Giancarlo Ferrera

This thesis arises in the context of precision measurements at hadron colliders. The Tevatron and the LHC provide very accurate measurements of many Standard Model processes, such as the production of a lepton pair (Drell-Yan) of high…

高能物理 - 唯象学 · 物理学 2012-12-04 Marco Bonvini

We consider the next-to-leading order corrections, O(alpha_s), to forward-backward charge asymmetries for lepton-pair production in association with a large transverse momentum jet at large hadron colliders. We find that the leading order…

高能物理 - 唯象学 · 物理学 2009-11-11 F. del Aguila , Ll. Ametller , R. Pittau

We present threshold enhanced QCD corrections to rapidity distributions of di-leptons in the Drell-Yan process and of Higgs particles in both gluon fusion and bottom quark annihilation processes using Sudakov resummed cross sections. We…

高能物理 - 唯象学 · 物理学 2008-11-26 V. Ravindran , J. Smith , W. L. van Neerven

We discuss Drell-Yan production of dileptons at high energies in forward rapidity region in a hybrid high-energy approach. This approach uses unintegrated gluon distributions in one proton and collinear quark/antiquark distributions in the…

高能物理 - 唯象学 · 物理学 2016-04-20 Wolfgang Schäfer , Antoni Szczurek

We present the first complete calculation of hadron production in deep-inelastic scattering (DIS) at finite transverse momentum to next-to-next-to-leading order (NNLO) in perturbative QCD. To overcome the long-standing challenge of infrared…

高能物理 - 唯象学 · 物理学 2026-02-27 Liang Dong , Shen Fang , Jun Gao , Hai Tao Li , Ding Yu Shao , Yu Jiao Zhu

We present recent updates in the xFitter software framework for global fits of parton distribution functions in high-energy physics. Our focus is on investigating the sensitivity to Z boson couplings using the forward-backward asymmetry in…

高能物理 - 唯象学 · 物理学 2024-08-14 Oleksandr Zenaiev

High precision data of dilepton angular distributions in $\gamma^*/Z$ production were reported recently by the CMS Collaboration covering a broad range of the dilepton transverse momentum, $q_T$, up to $\sim 300$ GeV. Pronounced $q_T$…

高能物理 - 唯象学 · 物理学 2016-06-22 Jen-Chieh Peng , Wen-Chen Chang , Randall Evan McClellan , Oleg Teryaev

In TeV scale gravity models, for dilepton production at hadron colliders, we present the NLO-QCD corrections for the double differential cross section in the invariant mass and scattering angle. For both ADD and RS models, the quantitative…

高能物理 - 唯象学 · 物理学 2008-11-26 Prakash Mathews , V. Ravindran

The production of pairs of hadrons in hadronic collisions is studied using a next-to-leading-order Monte Carlo program based on the phase space slicing technique. Up-to-date fragmentation functions based on fits to LEP data are employed,…

高能物理 - 唯象学 · 物理学 2009-11-07 J. F. Owens

We discuss the double-spin asymmetry \aqt in the transversely polarized Drell-Yan process at small transverse-momentum Q_T of the produced dilepton. The soft gluon corrections relevant for small Q_T are resummed to all orders in \alpha_s,…

高能物理 - 唯象学 · 物理学 2008-11-26 Hiroyuki Kawamura , Jiro Kodaira , Kazuhiro Tanaka

We present the resummed predictions for a vector boson pair production at the LHC. We have performed threshold resummation to next-to-next-to-leading logarithmic (NNLL) accuracy, and then matched them to next-to-next-to-leading order (NNLO)…

高能物理 - 唯象学 · 物理学 2026-03-09 Pulak Banerjee , Chinmoy Dey , M. C. Kumar , Vaibhav Pandey