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.

Details

Title
MadGraph 5: going beyond
Author
Alwall Johan 1 ; Herquet Michel 2 ; Maltoni Fabio 3 ; Mattelaer Olivier 3 ; Stelzer, Tim 4 

 Fermi National Accelerator Laboratory, Theoretical Physics Department, Batavia, U.S.A. (GRID:grid.417851.e) (ISNI:0000000106750679) 
 Nikhef Theory Group, Amsterdam, The Netherlands (GRID:grid.420012.5) (ISNI:0000000406462193) 
 Université Catholique de Louvain, Centre for Cosmology, Particle Physics and Phenomenology (CP3), Louvain-la-Neuve, Belgium (GRID:grid.7942.8) (ISNI:000000012294713X) 
 University of Illinois at Urbana-Champaign, Department of Physics, Urbana, U.S.A. (GRID:grid.35403.31) (ISNI:0000000419369991) 
Publication year
2011
Publication date
Jun 2011
Publisher
Springer Nature B.V.
e-ISSN
10298479
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2398244412
Copyright
© 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. This work is published under https://creativecommons.org/licenses/by-nc/2.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.