English
Related papers

Related papers: Underlying events in Herwig++

200 papers

The progression of communication in the Message Passing Interface (MPI) is not well defined, yet it is critical for application performance, particularly in achieving effective computation and communication overlap. The opaque nature of MPI…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-16 Hui Zhou , Robert Latham , Ken Raffenetti , Yanfei Guo , Rajeev Thakur

Hybrid MPI+threads programming is gaining prominence, but, in practice, applications perform slower with it compared to the MPI everywhere model. The most critical challenge to the parallel efficiency of MPI+threads applications is slow…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-30 Rohit Zambre , Aparna Chandramowlishwaran

This is the user's manual of MC@NLO 4.0. This package is a practical implementation, based upon the Fortran HERWIG and Herwig++ event generators, of the MC@NLO formalism, which allows one to incorporate NLO QCD matrix elements consistently…

High Energy Physics - Phenomenology · Physics 2010-10-06 Stefano Frixione , Fabian Stoeckli , Paolo Torrielli , Bryan R. Webber , Chris D. White

A new release of the Monte Carlo program Herwig++ (version 2.0beta) is now available. The main new feature is the extension of the program to include simple hadron-hadron processes including the initial-state parton shower.

High Energy Physics - Phenomenology · Physics 2007-05-23 S. Gieseke , D. Grellscheid , A. Ribon , P. Richardson , M. H. Seymour , P. Stephens , B. R. Webber

We investigate the representation of hierarchical models in terms of marginals of other hierarchical models with smaller interactions. We focus on binary variables and marginals of pairwise interaction models whose hidden variables are…

Probability · Mathematics 2016-03-08 Guido Montufar , Johannes Rauh

MPI's derived datatypes (DDTs) promise easier, copy-free communication of non-contiguous data, yet their practical performance remains debated and is often reported only for a single MPI stack. We present a cross-implementation assessment…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-19 Temitayo Adefemi

An overview of minimum bias and underlying event studies at the LHC with the ATLAS and CMS detectors is presented. Current uncertainties in the modeling of soft pp inelastic interactions at the LHC energy scale are discussed. Triggers used…

High Energy Physics - Experiment · Physics 2019-08-15 M. Leyton

In this paper, we detail how two types of distributed coordinator election algorithms can be compared in terms of performance based on an evaluation on the High Performance Computing (HPC) infrastructure. An experimental approach based on…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-09 Filip De Turck

This paper presents a streamlined framework for real-time processing and analysis of condition data from the CMS experiment Resistive Plate Chambers (RPC). Leveraging data streaming, it uncovers correlations between RPC performance metrics,…

High Energy Physics - Experiment · Physics 2025-04-15 A. Dimitrov , M. Tytgat , K. Mota Amarilo , A. Samalan , K. Skovpen , G. A. Alves , E. Alves Coelho , F. Marujo da Silva , M. Barroso Ferreira Filho , E. M. Da Costa , D. De Jesus Damiao , S. Fonseca De Souza , R. Gomes De Souza , L. Mundim , H. Nogima , J. P. Pinheiro , A. Santoro , M. Thiel , A. Aleksandrov , R. Hadjiiska , P. Iaydjiev , M. Shopova , G. Sultanov , L. Litov , B. Pavlov , P. Petkov , A. Petrov , E. Shumka , P. Cao , W. Diao , Q. Hou , H. Kou , Z. -A. Liu , J. Song , J. Zhao , S. J. Qian , C. Avila , D. A. Barbosa Trujillo , A. Cabrera , C. A. Florez , J. A. Reyes Vega , R. Aly , A. Radi , Y. Assran , I. Crotty , M. A. Mahmoud , M. Gouzevitch , G. Grenier , I. B. Laktineh , L. Mirabito , I. Bagaturia , I. Lomidze , Z. Tsamalaidze , V. Amoozegarp , B. Boghrati , M. Ebrahimi , F. Esfandi , Y. Hosseini , M. Mohammadi Najafabadi , E. Zareian , M. Abbrescia , N. De Filippis , G. Iaselli , F. Loddo , G. Pugliese , D. Ramos , L. Benussi , S. Bianco , S. Meola , D. Piccolo , S. Buontempo , F. Carnevali , F. Fienga , L. Lista , P. Paolucci , A. Braghieri , P. Montagna , C. Riccardi , P. Salvini , P. Vitulo , E. Asilar , T. J. Kim , Y. Ryou , S. Choi , B. Hong , K. S. Lee , J. Goh , J. Shin , Y. Lee , I. Pedraza , C. Uribe Estrada , H. Castilla-Valdez , R. Lopez-Fernandez , A. Sanchez Hernandez , M. Ramirez Garcia , D. L. Ramirez Guadarrama , M. A. Shah , E. Vazquez , N. Zaganidis , A. Ahmad , M. I. Asghar , H. R. Hoorani , S. Muhammad , J. Eysermans

Message Passing Interface (MPI) is a foundational programming model for high-performance computing. MPI libraries traditionally employ network interconnects (e.g., Ethernet and InfiniBand) and network protocols (e.g., TCP and RoCE) with…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-16 Xi Wang , Bin Ma , Jongryool Kim , Byungil Koh , Hoshik Kim , Dong Li

The LHC physics programme involves a vast amount of Monte Carlo event simulation. This paper reviews current efforts towards sharing the generated events as Open Data. Open Event Generation helps reduce duplication of effort and resource…

While application profiling has been a mainstay in the HPC community for years, profiling of MPI and other communication middleware has not received the same degree of exploration. This paper adds to the discussion of MPI profiling,…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-20 Riley Shipley , Garrett Hooten , David Boehme , Derek Schafer , Anthony Skjellum , Olga Pearce

We develop a Monte Carlo event generator for Higgs Boson pair production merged to exact one-jet matrix elements. The matrix elements are generated with OpenLoops and event generation is performed with the HERWIG++ general-purpose event…

High Energy Physics - Phenomenology · Physics 2015-06-18 Philipp Maierhöfer , Andreas Papaefstathiou

We examine the contribution of Multiple Parton Interactions to Z+n-jets production at the LHC, n=2,3,4, where the Z boson is assumed to decay leptonically. We compare the results obtained with the correlated GS09 double parton distribution…

High Energy Physics - Phenomenology · Physics 2015-03-17 Ezio Maina

We present a non-trivial integration of dimension-independent likelihood-informed (DILI) MCMC (Cui, Law, Marzouk, 2016) and the multilevel MCMC (Dodwell et al., 2015) to explore the hierarchy of posterior distributions. This integration…

Computation · Statistics 2023-12-01 Tiangang Cui , Gianluca Detommaso , Robert Scheichl

We introduce the Modular Algorithm for Relativistic Treatment of heavy IoN Interactions (MARTINI), a comprehensive event generator for the hard and penetrating probes in high energy nucleus-nucleus collisions. Its main components are a time…

High Energy Physics - Phenomenology · Physics 2009-12-14 Bjoern Schenke , Charles Gale , Sangyong Jeon

Multiparton interactions are introduced in order to explain a wide range of phenomena in p-p collisions. We present the most recent CMS measurements sensitive to multiparton interactions and hard double parton scattering at 7 TeV. In…

High Energy Physics - Experiment · Physics 2013-09-04 Paolo Gunnellini

We present the physics foundations and recent developments of Herwig 7, the modern successor of the original HERWIG and Herwig++ series. Herwig 7 provides a flexible and systematically improvable framework for the simulation of high-energy…

Classification models may often suffer from "structure imbalance" between training and testing data that may occur due to the deficient data collection process. This imbalance can be represented by the learning using privileged information…

Computer Vision and Pattern Recognition · Computer Science 2017-09-01 Michalis Vrigkas , Evangelos Kazakos , Christophoros Nikou , Ioannis A. Kakadiaris

A large fraction of data generated via human activities such as online purchases, health records, spatial mobility etc. can be represented as a sequence of events over a continuous-time. Learning deep learning models over these…

Machine Learning · Computer Science 2022-08-29 Vinayak Gupta , Srikanta Bedathur , Sourangshu Bhattacharya , Abir De