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200 papers

I describe the work of the CEDAR collaboration in developing tools for tuning and validating Monte Carlo event generator programs. The core CEDAR task is to interface the Durham HepData database of experimental measurements to event…

High Energy Physics - Phenomenology · Physics 2008-12-18 Andy Buckley

Planning high-energy collision experiments for the next few decades requires extensive Monte Carlo simulations in order to accomplish physics goals of these experiments. Such simulations are essential for understanding fundamental physics…

High Energy Physics - Experiment · Physics 2016-09-16 S. V. Chekanov

We compare Monte Carlo event generators dedicated to simulating the production and decay of extra-dimensional black holes at the Large Hadron Collider.

High Energy Physics - Phenomenology · Physics 2007-05-23 Douglas M. Gingrich

Madgraph5_aMC@NLO is one of the most-frequently used Monte-Carlo event generators at the LHC, and an important consumer of compute resources. The software has been reengineered to maintain the overall look and feel of the user interface…

A Monte Carlo event generator is presented. An original algorithm is developed to simulate electron-positron scattering at energies and momentum transferred much more than the electron mass. The first-order electroweak radiative corrections…

High Energy Physics - Phenomenology · Physics 2007-05-23 A. B. Arbuzov

CASCADE is a full hadron level Monte Carlo event generator for e-p, gamma-p and p-p_bar processes, which uses the CCFM evolution equation for the initial state cascade in a backward evolution approach supplemented with off-shell matrix…

High Energy Physics - Phenomenology · Physics 2009-11-07 H. Jung

The role of data libraries in Monte Carlo simulation is discussed. A number of data libraries currently in preparation are reviewed; their data are critically examined with respect to the state-of-the-art in the respective fields. Extensive…

We introduce a Monte Carlo (MC) dataset of single- and two-track drift chamber events to advance Machine Learning (ML)-based track reconstruction. To enable standardized and comparable evaluation, we define track reconstruction specific…

We describe recent additions to the WHIZARD 2 Monte-Carlo event generator which improve the physics description of lepton-collider event samples and speed up the calculation time required for cross sections and event generation.

High Energy Physics - Phenomenology · Physics 2018-01-25 W. Kilian , S. Brass , T. Ohl , J. Reuter , V. Rothe , P. Stienemeier , M. Utsch

Recently the collider physics community has seen significant advances in the formalisms and implementations of event generators. This review is a primer of the methods commonly used for the simulation of high energy physics events at…

We present a next generation of multi-particle Monte Carlo (MC) Event generators for LHC and ILC for the MSSM, namely the three program packages Madgraph/MadEvent, WHiZard/O'Mega and Sherpa/Amegic++. The interesting but difficult…

High Energy Physics - Phenomenology · Physics 2014-11-18 J. Reuter , K. Hagiwara , W. Kilian , F. Krauss , T. Ohl , T. Plehn , D. Rainwater , S. Schumann

This is a status report of the WHIZARD Monte Carlo multi-purpose event generator given at the LCFORUM 2012 at DESY. I review here the development of the WHIZARD generator version 2 with a special emphasis on linear collider physics. In case…

High Energy Physics - Phenomenology · Physics 2012-04-30 Juergen Reuter

Data centers have been evolved from a passive element of compute infrastructure to become an active, core part of any ICT solution. In particular, modular data centers (MDCs), which are a promising design approach to improve resiliency of…

We present a novel saturation and leading order collinear factorization based Monte-Carlo implementation of the EKRT model for computing QCD matter initial states in high-energy nuclear collisions. As new features the MC implementation…

High Energy Physics - Phenomenology · Physics 2025-10-31 Harri Niemi , Jussi Auvinen , Kari J. Eskola , Henry Hirvonen , Yuuka Kanakubo , Mikko Kuha

The CMS experiment at the LHC accelerator at CERN relies on its computing infrastructure to stay at the frontier of High Energy Physics, searching for new phenomena and making discoveries. Even though computing plays a significant role in…

Data Analysis, Statistics and Probability · Physics 2016-12-21 Valentin Kuznetsov , Ting Li , Luca Giommi , Daniele Bonacorsi , Tony Wildish

This book aims to provide a graduate-level introduction to advanced topics in Markov chain Monte Carlo (MCMC) algorithms, as applied broadly in the Bayesian computational context. Most, if not all of these topics (stochastic gradient MCMC,…

Machine Learning · Statistics 2024-07-18 Paul Fearnhead , Christopher Nemeth , Chris J. Oates , Chris Sherlock

The data acquisition system of the CMS experiment at the Large Hadron Collider will employ an event builder which will combine data from about 500 data sources into full events at an aggregate throughput of 100 GByte/s. Several…

This article summarizes the talk given at the LCWS 2021 conference on the status and news of the WHIZARD Monte Carlo event generator. We presented its features relevant for the physics program of future lepton and especially linear…

High Energy Physics - Phenomenology · Physics 2021-04-23 Pascal Stienemeier , Simon Braß , Pia Bredt , Wolfgang Kilian , Nils Kreher , Thorsten Ohl , Jürgen Reuter , Vincent Rothe , Tobias Striegl

We discuss the rejection-free event-chain Monte-Carlo algorithm and several applications to dense soft matter systems. Event-chain Monte-Carlo is an alternative to standard local Markov-chain Monte-Carlo schemes, which are based on detailed…

Soft Condensed Matter · Physics 2021-04-29 Tobias A. Kampmann , David Müller , Clemens Franz Vorsmann , Lukas Paul Weise , Jan Kierfeld

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