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Related papers: A Les Houches Interface for BSM Generators

200 papers

We present the results and prospects for searches beyond the Standard Model (SM) at the LHC by the ATLAS and CMS collaborations. The minimal supersymmetric extension of the SM has been investigated in various configurations and lower limits…

High Energy Physics - Experiment · Physics 2019-08-13 Daniel Teyssier

PHASE is a Monte Carlo event generator, under construction, for all Standard Model processes with six fermions in the final state at the LHC. It employs the full set of tree level Feynman diagrams, taking into account fermion masses for b…

High Energy Physics - Phenomenology · Physics 2011-01-27 E. Accomando , A. Ballestrero , E. Maina

Models of Beyond the Standard Model (BSM) physics, like the Minimal Supersymmetric Standard Model (MSSM), often involve an extended Higgs sector, giving rise to extra neutral or charged Higgs bosons. The discovery reach expected from…

High Energy Physics - Experiment · Physics 2019-08-15 Steven Lowette

Hidden Markov models (HMMs) are probabilistic methods in which observations are seen as realizations of a latent Markov process with discrete states that switch over time. Moving beyond standard statistical tests, HMMs offer a statistical…

Methodology · Statistics 2024-03-20 S. Mildiner Moraga , E. Aarts

Generic Fortran common blocks are presented for use by High Energy Physics event generators for the transfer of event configurations from parton level generators to showering and hadronization event generators.

The CompHEP software package allows the evaluation of cross section and decays of elementary particles with a high level of automation. Arbitrary tree levelp rocesses can be calculated starting from the set of vertices prescribed by a given…

High Energy Physics - Phenomenology · Physics 2009-11-07 A. Semenov

We describe the implementation of supersymmetric processes in the HERWIG Monte Carlo event generator. We define relevant parameter and mixing conventions and list the hard scattering matrix elements. Our implementation is based on the…

High Energy Physics - Phenomenology · Physics 2010-04-06 S. Moretti , K. Odagiri , P. Richardson , M. H. Seymour , B. R. Webber

This paper follows hep-ph/9611397, where updated calculations of cross sections and branching ratios relevant for Standard Model Higgs phenomenology at the LHC were presented. Here, we complete that study by carrying out an updated…

High Energy Physics - Phenomenology · Physics 2007-05-23 S. Moretti

A simple C++ class structure for construction of a Monte Carlo event generators which can produce unweighted events within relativistic phase space is presented. The generator is self-adapting to the provided matrix element and acceptance…

High Energy Physics - Phenomenology · Physics 2018-12-18 R. A. Kycia , J. Chwastowski , R. Staszewski , J. Turnau

Many highly developed Monte Carlo tools for the evaluation of cross sections based on tree matrix elements exist and are used by experimental collaborations in high energy physics. As the evaluation of one-loop matrix elements has recently…

Two far-forward experimental systems are currently taking data during Run 3 at the Large Hadron Collider (LHC): FASER + FASER$\nu$ and SND@LHC. They are sensitive to some classes of beyond-the-Standard Model (BSM) particles, muons and…

High Energy Physics - Phenomenology · Physics 2022-12-23 M. V. Garzelli

The existence of Beyond Standard Model (BSM) physics is firmly suggested by both experimental observations (Dark Matter, neutrino masses) and theoretical arguments. In the hypothesis that the scale of new physics is considerably higher than…

High Energy Physics - Phenomenology · Physics 2021-09-08 Luca Mantani

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…

We present an extension of the JHUGen and MELA framework, which includes an event generator and library for the matrix element analysis. It enables simulation, optimal discrimination, reweighting techniques, and analysis of a bosonic…

High Energy Physics - Phenomenology · Physics 2021-01-29 Andrei V. Gritsan , Jeffrey Roskes , Ulascan Sarica , Markus Schulze , Meng Xiao , Yaofu Zhou

KaTie is a parton-level event generator for hadron scattering processes that can deal with partonic initial-state momenta with an explicit transverse momentum dependence causing them to be space-like. Provided with the necessary transverse…

High Energy Physics - Phenomenology · Physics 2017-11-23 A. van Hameren

Event generation for the LHC can be supplemented by generative adversarial networks, which generate physical events and avoid highly inefficient event unweighting. For top pair production we show how such a network describes intermediate…

High Energy Physics - Phenomenology · Physics 2019-12-11 Anja Butter , Tilman Plehn , Ramon Winterhalder

To gain a comprehensive view of what the LHC tells us about physics beyond the Standard Model (BSM), it is crucial that different BSM-sensitive analyses can be combined. But in general, search analyses are not statistically orthogonal, so…

High Energy Physics - Phenomenology · Physics 2023-04-19 Jack Y. Araz , Andy Buckley , Benjamin Fuks , Humberto Reyes-Gonzalez , Wolfgang Waltenberger , Sophie L. Williamson , Jamie Yellen

We describe the development of the LHAPDF library from its initial implementation following the Les Houches meeting in 2001 to its present state as a functional replacement for PDFLIB. Brief details are given of how to install and use the…

High Energy Physics - Phenomenology · Physics 2008-05-19 M. R. Whalley , D. Bourilkov , R. C. Group

Networks and temporal point processes serve as fundamental building blocks for modeling complex dynamic relational data in various domains. We propose the latent space Hawkes (LSH) model, a novel generative model for continuous-time…

Machine Learning · Computer Science 2022-07-08 Zhipeng Huang , Hadeel Soliman , Subhadeep Paul , Kevin S. Xu