MadGraph 5: going beyond

  • Johan Alwall
  • Michel Herquet
  • Fabio Maltoni
  • Olivier Mattelaer
  • Tim Stelzer
Open Access
Article

DOI: 10.1007/JHEP06(2011)128

Cite this article as:
Alwall, J., Herquet, M., Maltoni, F. et al. J. High Energ. Phys. (2011) 2011: 128. doi:10.1007/JHEP06(2011)128

Abstract

MadGraph 5 is the new version of the MadGraph matrix element generator, written in the Python programming language. It implements a number of new, efficient algorithms that provide improved performance and functionality in all aspects of the program. It features a new user interface, several new output formats including C++ process libraries for Pythia 8, and full compatibility with FeynRules for new physics models implementation, allowing for event generation for any model that can be written in the form of a Lagrangian. MadGraph 5 builds on the same philosophy as the previous versions, and its design allows it to be used as a collaborative platform where theoretical, phenomenological and simulation projects can be developed and then distributed to the high-energy community. We describe the ideas and the most important developments of the code and illustrate its capabilities through a few simple phenomenological examples.

Keywords

QCD Phenomenology 

Copyright information

© The Author(s) 2011

Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  • Johan Alwall
    • 1
  • Michel Herquet
    • 2
  • Fabio Maltoni
    • 3
  • Olivier Mattelaer
    • 3
  • Tim Stelzer
    • 4
  1. 1.Theoretical Physics DepartmentFermi National Accelerator LaboratoryBataviaU.S.A.
  2. 2.Nikhef Theory GroupAmsterdamThe Netherlands
  3. 3.Centre for Cosmology, Particle Physics and Phenomenology (CP3)Université Catholique de LouvainLouvain-la-NeuveBelgium
  4. 4.Department of PhysicsUniversity of Illinois at Urbana-ChampaignUrbanaU.S.A.

Personalised recommendations