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We have developed a Monte Carlo event generator for non-resonant diphoton ($\gamma\gamma$) production at hadron collisions in the framework of GR@PPA, which consistently includes processes having additional one jet radiation. The possible…

高能物理 - 唯象学 · 物理学 2011-05-31 Shigeru Odaka

We present a simulation program for the production of a pair of W bosons in association with a jet, that can be used in conjunction with general-purpose shower Monte Carlo generators, according to the POWHEG method. We have further adapted…

高能物理 - 唯象学 · 物理学 2016-10-12 Keith Hamilton , Tom Melia , Pier Francesco Monni , Emanuele Re , Giulia Zanderighi

The positive weight next-to-leading-order (NLO) matching scheme (POWHEG) is applied to Drell-Yan vector boson production in the Herwig++ Monte Carlo event generator. This approach consistently combines the NLO calculation and parton shower…

高能物理 - 唯象学 · 物理学 2008-11-26 Keith Hamilton , Peter Richardson , Jon Tully

The study of high energy cosmic rays requires detailed Monte Carlo simulations of both, extensive air showers and the detectors involved in their detection. In particular, the energy calibration of several experiments is obtained from…

天体物理学 · 物理学 2009-02-18 A. D. Supanitsky , G. Medina-Tanco

We reframe common tasks in jet physics in probabilistic terms, including jet reconstruction, Monte Carlo tuning, matrix element - parton shower matching for large jet multiplicity, and efficient event generation of jets in complex,…

高能物理 - 唯象学 · 物理学 2021-09-08 Kyle Cranmer , Matthew Drnevich , Sebastian Macaluso , Duccio Pappadopulo

Machine learning tools are commonly used in modern high energy physics (HEP) experiments. Different models, such as boosted decision trees (BDT) and artificial neural networks (ANN), are widely used in analyses and even in the software…

数据分析、统计与概率 · 物理学 2016-12-21 A. Rogozhnikov

We study the use of higher-order resummation for transverse observables to achieve NNLO+PS matching within the GENEVA framework. In particular, we embed $q_T$ resummation for colour-singlet production at N$^3$LL obtained via soft-collinear…

高能物理 - 唯象学 · 物理学 2025-05-22 Alessandro Gavardi , Rebecca von Kuk , Matthew A. Lim

The connection between analytic and Monte Carlo calculations of soft gluon emission is reanalyzed in light of recent, theoretical developments in resummation. An alternative Monte Carlo algorithm is suggested which incorporates (1)…

高能物理 - 唯象学 · 物理学 2007-05-23 S. Mrenna

We introduce a new technique, that we dub Born spreading, aimed at reducing the number of negative-weight $\mathbb S$ events in the MC@NLO matching of NLO calculations with parton-shower simulations. We show that such a technique, based on…

高能物理 - 唯象学 · 物理学 2023-10-09 Rikkert Frederix , Paolo Torrielli

Evaluating parton density systematic uncertainties in Monte~Carlo event generator predictions has long been achieved by reweighting between the original and systematic PDFs for the initial state configurations of the individual simulated…

高能物理 - 唯象学 · 物理学 2016-03-08 Andy Buckley

A detailed study of the di-boson Monte Carlo programs Pythia, MC@NLO and the program of Baur, Han and Ohnemus (BHO) is performed. None of these programs cover all aspects of di-boson production. The BHO code is used to produce event weights…

高能物理 - 唯象学 · 物理学 2008-03-25 Gideon Bella

In this publication, uncertainties in and differences between the MC@NLO and POWHEG methods for matching next-to-leading order QCD calculations with parton showers are discussed. Implementations of both algorithms within the event generator…

高能物理 - 唯象学 · 物理学 2012-09-25 Stefan Hoeche , Frank Krauss , Marek Schonherr , Frank Siegert

We demonstrate that the method of interleaved resampling in the context of parton showers can tremendously improve the statistical convergence of weighted parton shower evolution algorithms. We illustrate this by several examples showing…

高能物理 - 唯象学 · 物理学 2020-10-28 Jimmy Olsson , Simon Plätzer , Malin Sjodahl

We investigate the properties of a sequential Monte Carlo method where the particle weight that appears in the algorithm is estimated by a positive, unbiased estimator. We present broadly-applicable convergence results, including a central…

统计方法学 · 统计学 2022-08-26 Paul B. Rohrbach , Robert L. Jack

Events containing hadronically decaying heavy particles with large momentum, leading to so-called merged jets, are expected to play a significant role in both searches for new physics and measurements of Standard Model processes at the CERN…

高能物理 - 实验 · 物理学 2011-09-06 Andrew Altheimer , Gustaaf Brooijmans

In this article we describe simulations of Higgs boson production via the gluon fusion and Higgs-strahlung processes, using the positive weight next-to-leading-order (NLO) matching scheme, POWHEG, in the Herwig++ 2.3 event generator. This…

高能物理 - 唯象学 · 物理学 2009-05-20 Keith Hamilton , Peter Richardson , Jon Tully

We apply Continuous Normalizing Flows trained with the Flow Matching method to the problem of phase-space sampling in Monte Carlo event generation for high-energy collider physics. Focusing on lepton-pair and top quark pair production with…

高能物理 - 唯象学 · 物理学 2026-04-07 Enrico Bothmann , Timo Janßen , Max Knobbe , Bernhard Schmitzer , Fabian Sinz

The Diffusion Monte Carlo method is devoted to the computation of electronic ground-state energies of molecules. In this paper, we focus on implementations of this method which consist in exploring the configuration space with a {\bf fixed}…

数值分析 · 数学 2007-05-23 Tony Lelievre , Mohamed El Makrini , Benjamin Jourdain

The positive weight next-to-leading-order matching formalism (POWHEG) is applied to Deep Inelastic Scattering (DIS) and the related Higgs boson production via vector-boson fusion process in the Herwig++ Monte Carlo event generator. This…

高能物理 - 唯象学 · 物理学 2015-05-28 Luca D'Errico , Peter Richardson

We present a consistent way of combining associated weak boson radiation in hard dijet events with hard QCD radiation in Drell-Yan-like scatterings. This integrates multiple tree-level calculations with vastly different cross sections, QCD-…

高能物理 - 唯象学 · 物理学 2016-02-17 Jesper Roy Christiansen , Stefan Prestel