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We evaluate the uncertainties due to nuclear effects in global fits of proton parton distribution functions (PDFs) that utilise deep-inelastic scattering and Drell-Yan data on deuterium targets. To do this we use an iterative procedure to…

高能物理 - 唯象学 · 物理学 2021-02-03 Richard D. Ball , Emanuele R. Nocera , Rosalyn L. Pearson

In this paper we investigate the medium modifications of girth distributions for inclusive jets and $Z^0$ tagged jets with small radius ($R=0.2$) in Pb+Pb collisions with $\sqrt{s}=2.76$ TeV at the LHC. The partonic spectrum in the initial…

高能物理 - 唯象学 · 物理学 2021-05-14 Jun Yan , Shi-Yong Chen , Wei Dai , Ben-Wei Zhang , Enke Wang

The LHC data on jet fragmentation function and jet shapes in PbPb collisions at center-of-mass energy 2.76 TeV per nucleon pair are analyzed and interpreted in the frameworks of PYQUEN jet quenching model. A specific modification of…

高能物理 - 唯象学 · 物理学 2015-10-28 I. P. Lokhtin , A. A. Alkin , A. M. Snigirev

In this work, we give a method to study the energy loss of jets in the medium using a variety of jet energy loss observables such as nuclear modification factor and transverse momentum asymmetry in dijets and $\gamma$-jets in heavy ion…

高能物理 - 唯象学 · 物理学 2024-10-11 Vineet Kumar , Prashant Shukla

The explanation of the suppression of high-pT hadron yields at RHIC in terms of jet-quenching implies that the multiplicity distributions of particles inside a jet and jet-like particle correlations differ strongly in nucleus-nucleus…

高能物理 - 唯象学 · 物理学 2011-09-13 Nicolas Borghini

The prospects of measuring a single-differential dijet cross section during the proposed short proton-oxygen data taking at LHC Run 3 are studied using next-to-leading-order perturbative QCD predictions. With reasonable experimental cuts…

高能物理 - 唯象学 · 物理学 2022-03-02 Petja Paakkinen

The aim of this work is to explore possible medium modifications to the substructure of inclusive charged jets in Pb-Pb relative to proton-proton collisions by measuring a set of jet shapes. The set of shapes includes the radial moment,…

核实验 · 物理学 2019-08-13 Leticia Cunqueiro

High-$p_T$ jets are an important tool for characterizing the quark-gluon plasma (QGP) created in heavy-ion collisions. However, a precise understanding of the jet-medium interaction is still lacking, and the development of more…

核理论 · 物理学 2023-03-27 Isobel Kolbé

A clear understanding of nuclear parton distribution functions (nPDFs) plays a crucial role in the interpretation of collider data taken at the Relativistic Heavy Ion Collider (RHIC), the Large Hadron Collider (LHC) and in the near future…

高能物理 - 唯象学 · 物理学 2022-07-13 P. Duwentäster , T. Ježo , M. Klasen , K. Kovařík , A. Kusina , K. F. Muzakka , F. I. Olness , R. Ruiz , I. Schienbein , J. Y. Yu

We review recent developments in the QCD description of jet production and modification in reactions with heavy nuclei at relativistic energies. Our goal is to formulate a perturbative expansion in the presence of nuclear matter that allows…

高能物理 - 唯象学 · 物理学 2011-05-27 I. Vitev

We scrutinize the recent LHCb data for D$^0$-meson production in p+Pb collisions within a next-to-leading order QCD framework. Our calculations are performed in the SACOT-$m_{\rm T}$ variant of the general-mass variable-flavour-number…

高能物理 - 唯象学 · 物理学 2020-06-24 Kari J. Eskola , Ilkka Helenius , Petja Paakkinen , Hannu Paukkunen

We investigate the impact of the latest gluon parton results from lattice QCD on the global parton distribution function (PDF) analysis within the CTEQ-TEA framework. The dependence on PDF parameterization is explored using the CT18As…

高能物理 - 唯象学 · 物理学 2025-02-18 Alim Ablat , Sayipjamal Dulat , Tie-Jiun Hou , Huey-Wen Lin , Keping Xie , C. -P. Yuan

We discuss consistency of the nuclear effects between the electromagnetic and weak interactions. In order to study a possibility of different nuclear effects in the neutrino DIS process, double differential cross section data are compared…

高能物理 - 唯象学 · 物理学 2016-12-21 Masanori Hirai

We present the first theoretical study of medium modifications of the global geometrical pattern, i.e., transverse sphericity ($S_{\perp}$) distribution of jet events with parton energy loss in relativistic heavy-ion collisions. In our…

高能物理 - 唯象学 · 物理学 2020-09-29 Shi-Yong Chen , Wei Dai , Shan-Liang Zhang , Qing Zhang , Ben-Wei Zhang

Jet production at hadron colliders provides constraints on the parton distribution functions (PDFs) of the proton, in particular on the gluon distribution. In the present paper, the impact on PDF of CMS inclusive differential jet cross…

高能物理 - 唯象学 · 物理学 2022-11-22 Deniz Sunar Cerci , Salim Cerci , Katarzyna Wichmann

We propose a simple and model-independent procedure to account for the impact of the nuclear modification of the gluon density as encoded in nuclear collinear PDF sets on two-to-two partonic hard processes in proton-nucleus collisions. This…

高能物理 - 唯象学 · 物理学 2016-12-30 Jean-Philippe Lansberg , Hua-Sheng Shao

A study is presented of the impact of simulated inclusive Electron Ion Collider Deep Inelastic Scattering data on the determination of the proton and nuclear parton distribution functions (PDFs) at next-to-next-to-leading and…

Energy and momentum loss of jets in heavy ion collisions can affect the fluid dynamic evolution of the medium. We determine realistic event-by-event averages and correlation functions of the local energy-momentum transfer from hard…

高能物理 - 唯象学 · 物理学 2014-07-08 Stefan Floerchinger , Korinna C. Zapp

Neutrino Deep Inelastic Scattering on nuclei is an essential process to constrain the strange quark parton distribution functions in the proton. The critical component on the way to using the neutrino DIS data in a proton PDF analysis is…

高能物理 - 唯象学 · 物理学 2015-05-20 K. Kovarik

Recent high precision experimental data from a variety of hadronic processes opens new opportunities for determination of the collinear parton distribution functions (PDFs) of the proton. In fact, the wealth of information from experiments…

高能物理 - 唯象学 · 物理学 2018-08-24 Bo-Ting Wang , T. J. Hobbs , Sean Doyle , Jun Gao , Tie-Jiun Hou , Pavel M. Nadolsky , Fredrick I. Olness