中文
相关论文

相关论文: Creating a hybrid of matrix elements and parton sh…

200 篇论文

A simple picture of the constituent quark as a composite system of point-like partons is used to construct the unpolarized and polarized parton distributions by a convolution between constituent quark momentum distributions and constituent…

高能物理 - 唯象学 · 物理学 2009-10-31 S. Scopetta , V. Vento , M. Traini

We study hadron production in jets by applying quark recombination to jet shower partons. With the jet showers obtained from PYTHIA and augmented by additional non-perturbative effects, we compute hadron spectra in e+ + e-collisions at…

核理论 · 物理学 2015-06-11 Kyong Chol Han , Rainer J Fries , Che Ming Ko

In relativistic heavy ion collisions, the cross section of heavy hadron production via the combination of a heavy quark with a light one from the quark-gluon matter can be factorized. It is the convolution of twist-4 combination matrix…

高能物理 - 唯象学 · 物理学 2007-05-23 Shi-Yuan Li

We present a study of the results obtained combining LO partonic matrix elements with different orders of partons distributions. These are compared to the best prediction using NLO for both matrix elements and parton distributions. The aim…

高能物理 - 唯象学 · 物理学 2007-06-15 R. S. Thorne , A. Sherstnev , C. Gwenlan

Dijet angular distributions of photoproduction events in which a D*+/- meson is produced in association with one of two energetic jets have been measured using an integrated luminosity of 120 pb^1. The results are compared with predictions…

高能物理 - 实验 · 物理学 2007-05-23 Leonid Gladilin

In these proceedings, we discuss the role of heavy quark mass on the formation of parton showers. Mass effects are not well understood when parton branching occurs in nuclear matter, such as the quark-gluon plasma. Recently, a theoretically…

高能物理 - 唯象学 · 物理学 2022-01-26 Ivan Vitev

We introduce multi-jet merging for deep inelastic scattering in the Vincia parton shower in the Monte Carlo event generator Pythia 8. Merging combines event samples of different parton multiplicities with logarithmically enhanced…

高能物理 - 唯象学 · 物理学 2025-06-10 Ilkka Helenius , Joni O. Laulainen , Christian T. Preuss

We report next-to-leading order perturbative QCD predictions of 4 jet event shape variables for the process e+e- \to 4 jets obtained using the general purpose Monte Carlo EERAD2. This program is based on the known `squared' one loop matrix…

高能物理 - 唯象学 · 物理学 2008-11-26 J. M. Campbell , M. A. Cullen , E. W. N. Glover

Within the context of a hybrid strong/weak coupling model of jet quenching, we study the modification of the angular distribution of the energy within jets in heavy ion collisions, as partons within jet showers lose energy and get kicked as…

高能物理 - 唯象学 · 物理学 2017-04-26 Jorge Casalderrey-Solana , Doga Gulhan , Guilherme Milhano , Daniel Pablos , Krishna Rajagopal

QCD predicts soft radiation patterns that are particularly simple for $W+ {jet}$ production. We demonstrate how these patterns can be used to distinguish between the parton-level subprocesses probabilistically on an event-by-event basis. As…

高能物理 - 唯象学 · 物理学 2009-10-30 James Amundson , Jon Pumplin , Carl Schmidt

We discuss the necessary steps for implementing an angularly ordered (AO) electroweak (EW) parton shower in Herwig 7 multi-purpose event generator. This includes calculating the helicity-dependent quasi-collinear EW branching functions that…

高能物理 - 唯象学 · 物理学 2022-04-26 M. R. Masouminia , P. Richardson

We present an implementation of electroweak W+W-jj production at hadron colliders in the POWHEG framework, a method that allows the interfacing of a next-to-leading order QCD calculation with parton shower Monte Carlo programs. We provide…

高能物理 - 唯象学 · 物理学 2015-06-12 Barbara Jager , Giulia Zanderighi

We summarize recent developments in the VINCIA parton shower. After a brief review of the basics of the formalism, the extension of VINCIA to hadron collisions is sketched. We then turn to improvements of the efficiency of tree-level…

When the initial state evolution of a parton shower is organized according to the standard "backward evolution'' prescription, ratios of parton distribution functions appear in the splitting probabilities. The shower thus organized evolves…

高能物理 - 唯象学 · 物理学 2015-06-18 Zoltan Nagy , Davison E. Soper

Recent measurements of jet structure modifications at RHIC and LHC highlight the importance of differential measurements to study the nature of jet quenching. Since these jet structure observables are intimately dependent on parton…

核实验 · 物理学 2019-07-17 Raghav Kunnawalkam Elayavalli

An earlier developed $k_T$-factorization framework to calculate the associated prompt photon and hadronic jets production cross sections at high energies is extended now to the electron-proton deep inelastic scattering. The proposed method…

高能物理 - 唯象学 · 物理学 2023-08-02 A. V. Lipatov , M. A. Malyshev

We present the QCD analysis of D-parameter distribution in near-to-planar 3-jet e+e- annihilation events. We derive the all-order resummed perturbative prediction and the leading power suppressed non-perturbative corrections both to the…

高能物理 - 唯象学 · 物理学 2009-11-07 A. Banfi , Yu. L. Dokshitzer , G. Marchesini , G. Zanderighi

Jet quenching - the modification of high-energy jets in the quark-gluon plasma - has been extensively studied through weakly coupled scattering amplitudes embedded in parton-shower frameworks. These models, often combined with bulk…

高能物理 - 唯象学 · 物理学 2026-04-10 Ismail Soudi , Adam Takacs

Machine learning methods incorporating deep neural networks have been the subject of recent proposals for new hadronic resonance taggers. These methods require training on a dataset produced by an event generator where the true class labels…

高能物理 - 唯象学 · 物理学 2017-01-25 James Barnard , Edmund Noel Dawe , Matthew J. Dolan , Nina Rajcic

We present the first next-to-leading order matched and multi-jet merged predictions based on the Alaric parton shower. The components needed for infrared subtraction in the S-MC@NLO algorithm are computed analytically for the case of color…

高能物理 - 唯象学 · 物理学 2025-07-31 Stefan Höche , Frank Krauss , Peter Meinzinger , Daniel Reichelt