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We present the implementation and validation of the techniques used to efficiently evaluate parametric and perturbative theoretical uncertainties in matrix-element plus parton-shower simulations within the Sherpa event-generator framework.…

High Energy Physics - Phenomenology · Physics 2016-11-11 Enrico Bothmann , Marek Schönherr , Steffen Schumann

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…

High Energy Physics - Phenomenology · Physics 2012-09-25 Stefan Hoeche , Frank Krauss , Marek Schonherr , Frank Siegert

We present a novel technique to incorporate precision calculations from quantum chromodynamics into fully differential particle-level Monte-Carlo simulations. By minimizing an information-theoretic quantity subject to constraints, our…

High Energy Physics - Phenomenology · Physics 2025-09-19 Benoît Assi , Stefan Höche , Kyle Lee , Jesse Thaler

We have implemented in the RAPGAP program a previously derived subtraction method for next-to-leading order (NLO) corrections in Monte-Carlo event generators, and we show results for jet production in deep inelastic scattering. At small…

High Energy Physics - Phenomenology · Physics 2007-05-23 John Collins , Xiaomin Zu

We summarise the motivation for, and the status of, the tools developed by CEDAR/MCnet for validating and tuning Monte Carlo event generators for the LHC against data from previous colliders. We then present selected preliminary results…

High Energy Physics - Phenomenology · Physics 2014-11-18 Andy Buckley , Hendrik Hoeth , Holger Schulz , Jan Eike von Seggern

McMule, a Monte Carlo for MUons and other LEptons, implements many major QED processes at NNLO (eg. $ee\to ee$, $e\mu\to e\mu$, $ee\to\mu\mu$, $\ell p\to\ell p$, $\mu\to\nu\bar\nu e$) including effects from the lepton masses, making it…

High Energy Physics - Phenomenology · Physics 2025-01-08 Yannick Ulrich

The Monte Carlo event generators (MC) are used for the simulation of different processes in high energy physics. To achieve the best description of the data, the parameters of simulations are adjusted (tuned) with different methods. In this…

High Energy Physics - Experiment · Physics 2018-01-23 Fabian Klimpel

Monte Carlo generation of high energy particle collisions is a critical tool for both theoretical and experimental particle physics, connecting perturbative calculations to phenomenological models, and theory predictions to full detector…

High Energy Physics - Phenomenology · Physics 2020-09-23 Philip Ilten

We describe the new version of the Monte Carlo event generator WOPPER for four fermion production through W-pairs including resummed leading logarithmic QED radiative corrections. Among the new features included are singly resonant…

High Energy Physics - Phenomenology · Physics 2008-02-03 Harald Anlauf , Panagiotis Manakos , Thorsten Ohl , Hans Dieter Dahmen

Since the work of Ferrenberg et al.[PRL 69, (1992)] some pseudo random number generators are known to yield wrong results in cluster Monte Carlo simulations. In this contribution the fundamental mechanism behind this failure is discussed.…

Statistical Mechanics · Physics 2007-05-23 Stephan Mertens , Heiko Bauke

We apply the positive-weight Monte Carlo method of Nason for simulating QCD processes accurate to Next-To-Leading Order to the case of e+e- annihilation to hadrons. The method entails the generation of the hardest gluon emission first and…

High Energy Physics - Phenomenology · Physics 2010-10-27 Oluseyi Latunde-Dada , Stefan Gieseke , Bryan Webber

We present precision results for distributions in global event shapes that can be measured at hadron colliders within experimental limitations. These predictions are obtained by combining exact next-to-leading order (NLO) with the all-order…

High Energy Physics - Phenomenology · Physics 2011-01-04 Andrea Banfi

The Monte Carlo (MC) setups used by ATLAS to model boson$+\mathrm{jets}$ and multi-boson processes at $\sqrt{s}$ = 13 TeV in proton-proton collisions are described. Comparisons between data and several event generators are provided for key…

High Energy Physics - Experiment · Physics 2017-09-05 Francesco Giuli

The techniques used to generate pseudo-random numbers for Monte Carlo (MC) applications bear many implications on the quality and speed of that programs work. As a random number generator (RNG) slows, the production of random numbers begins…

Computational Physics · Physics 2024-03-12 Braxton S. Cuneo , Ilham Variansyah

Recent developments in QCD phenomenology have spurred on several improved approaches to Monte Carlo event generation, relative to the post--LEP state of the art. In this brief review, the emphasis is placed on approaches for 1) consistently…

High Energy Physics - Phenomenology · Physics 2009-11-11 Peter Z. Skands

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…

High Energy Physics - Phenomenology · Physics 2026-04-07 Enrico Bothmann , Timo Janßen , Max Knobbe , Bernhard Schmitzer , Fabian Sinz

In this contribution the new event generation framework SHERPA will be presented, which aims at a full simulation of events at current and future high-energy experiments. Some first results related to the production of weak vector bosons in…

High Energy Physics - Phenomenology · Physics 2008-12-18 T. Gleisberg , S. Hoeche , F. Krauss , A. Schaelicke , S. Schumann , G. Soff , J. Winter

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…

High Energy Physics - Phenomenology · Physics 2008-11-26 Keith Hamilton , Peter Richardson , Jon Tully

This work introduces two Monte Carlo (MC)-based sampling methods, known as line sampling and subset simulation, to improve the performance of standard MC analyses in the context of asteroid impact risk assessment. Both techniques sample the…

Earth and Planetary Astrophysics · Physics 2020-09-28 Matteo Romano , Matteo Losacco , Camilla Colombo , Pierluigi Di Lizia

Rare events are events that are expected to occur infrequently, or more technically, those that have low probabilities (say, order of $10^{-3}$ or less) of occurring according to a probability model. In the context of uncertainty…

Computation · Statistics 2015-08-21 James L. Beck , Konstantin M. Zuev
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