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We calculate all major differential distributions with stable top-quarks at the LHC. The calculation covers the multi-TeV range that will be explored during LHC Run II and beyond. Our results are in the form of high-quality binned…

高能物理 - 唯象学 · 物理学 2017-04-20 Michal Czakon , David Heymes , Alexander Mitov

We review recent progress in the study of medium-induced modification of jet fragmentation in high energy nuclear collisions at the SPS and RHIC and present an outlook on jet physics at the LHC.

核实验 · 物理学 2009-11-11 P. M. Jacobs , M. van Leeuwen

We present an attempt to probe the underlying structure of the quark-gluon plasma (QGP) at high resolution, based on the extracted jet transport coefficient $\hat{q}$. We argue that the exchanged momentum $k$ between the hard parton and the…

核理论 · 物理学 2020-03-18 Amit Kumar , Abhijit Majumder , Chun Shen

Using QCD calculations of the cross section of inclusive dijet photoproduction in Pb-Pb ultraperipheral collisions in the LHC kinematics as pseudo-data, we study the effect of including these data using the Bayesian reweighting technique on…

高能物理 - 唯象学 · 物理学 2019-05-22 V. Guzey , M. Klasen

A study of several observables characterising fragment distributions of medium-modified parton showers using the JEWEL and Q-PYTHIA models is presented, with emphasis on the relation between the different observables.

高能物理 - 唯象学 · 物理学 2015-11-20 Marco van Leeuwen

The LHC heavy ion data for W/Z production can provide new incisive information on the PDFs. This data is sensitive to the heavier quark flavors (strange and charm) in a high energy kinematic region; this can facilitate the determination of…

高能物理 - 唯象学 · 物理学 2017-12-25 D. B. Clark , E. Godat , T. Jezo , C. Keppel , K. Kovarik , A. Kusina , F. Lyonnet , J. G. Morfin , F. I. Olness , J. F. Owens , I. Schienbein , J. Y. Yu

Recent measurements of inclusive and semi-inclusive deep inelastic scattering in electron-proton collisions at HERA are reviewed. These measurements are used to determine the parton distribution functions (PDFs) of the proton, a necessary…

高能物理 - 实验 · 物理学 2019-08-14 K. Lipka

We study nuclear effects of charged current deep inelastic neutrino-iron scattering in the framework of a chi^2 analysis of parton distribution functions (PDFs). We extract a set of iron PDFs which are used to compute x_Bj-dependent and…

高能物理 - 唯象学 · 物理学 2008-06-05 I. Schienbein , J. Y. Yu , C. Keppel , J. G. Morfin , Fredrick I. Olness , J. F. Owens

With our coupled jet-fluid model, we study the nuclear modifications of full jets and jet structures for single inclusive jet and $\gamma$-jet events in relativistic heavy-ion collisions. The evolution of full jet showers is studied via a…

核理论 · 物理学 2018-12-27 Ning-Bo Chang , Guang-You Qin , Yasuki Tachibana

We study the influence of in-medium transverse momentum broadening on observables of jet pairs produced in nuclear collisions. These dijets were obtained numerically via the Monte-Carlo simulations of nuclear collisions, where the partons…

高能物理 - 唯象学 · 物理学 2020-08-26 Martin Rohrmoser

The parton distribution functions (PDFs) of the proton play a role in determining the lineshape of $Z$ and $W$ bosons produced at the LHC. In particular, the mode of the gauge boson virtuality is shifted with respect to the pole due to the…

高能物理 - 实验 · 物理学 2020-04-27 Valerio Bertacchi , Lorenzo Bianchini , Elisabetta Manca , Gigi Rolandi , Suvankar Roy Chowdhury

We present here a possible resolution of the jet quenching parameter $\hat{q}$ puzzle by exploring the momentum fraction $x$ and scale $Q^2$ dependence of $\hat{q}$, in addition to temperature dependence. We explore the momentum broadening…

核理论 · 物理学 2018-03-14 Amit Kumar , Evan Bianchi , Jacob Elledge , Abhijit Majumder , Guang-You Qin , Chun Shen

Realistic modeling of medium-jet interactions in heavy ion collisions is becoming increasingly important to successfully predict jet structure and shape observables. In JEWEL, all partons belonging to the parton showers initiated by hard…

高能物理 - 唯象学 · 物理学 2017-08-23 Raghav Kunnawalkam Elayavalli , Korinna Christine Zapp

The characterization of the jet substructure can give insight into the microscopic nature of the modification induced on high-momentum partons by the Quark-Gluon Plasma that is formed in ultra-relativistic heavy-ion collisions. Jet shapes…

核实验 · 物理学 2019-08-21 D. Caffarri

Jets produced in nucleus-nucleus collisions at the LHC are expected to be strongly modified due to the interaction of the parton shower with the dense QCD matter. Here, we point out that jet quenching can leave signatures not only in the…

高能物理 - 唯象学 · 物理学 2008-11-26 Sebastian Sapeta , Urs Achim Wiedemann

We compare a perturbative QCD-based jet-energy loss model to the measured data of the pion nuclear modification factor and the high-pT elliptic flow at RHIC and LHC energies. This jet-energy loss model (BBMG) is currently coupled to…

高能物理 - 唯象学 · 物理学 2015-12-24 Barbara Betz , Florian Senzel , Carsten Greiner , Miklos Gyulassy

Nuclear modifications to collinear parton distribution functions are conventionally quantified by the ratios $ r^{\textrm{A}}_i(x,Q^2) = f^\textrm{A,proton}_i(x,Q^2) / f^\textrm{proton}_i(x,Q^2) $. For a given nucleus $A$, these ratios…

高能物理 - 唯象学 · 物理学 2025-10-13 Meng-Quan Yang , Peng Ru , Ben-Wei Zhang

To obtain more precise parton distribution functions (PDFs) it is important to include data on inclusive high transverse energy jet production in the global parton analyses. These data have high statistics and the NNLO terms in the…

高能物理 - 唯象学 · 物理学 2017-04-26 A. D. Martin , M. G. Ryskin

We present predictions and postdictions for a wide variety of hard jet-substructure observables using a multistage model within the JETSCAPE framework. The details of the multistage model and the various parameter choices are described in…

Nuclear modification factor $R_{AA}(p_{T})$ for large transverse momentum pion spectra in $Pb+Pb$ collisions at $\sqrt{s}=2.76$ TeV is predicted within the NLO perturbative QCD parton model. Effect of jet quenching is incorporated through…

核理论 · 物理学 2013-05-29 Xiao-Fang Chen , Tetsufumi Hirano , Enke Wang , Xin-Nian Wang , Hanzhong Zhang