MadGraph 5 : Going Beyond

TL;DR

MadGraph 5 is a Python-based matrix element generator with improved algorithms, new user interface, diverse output formats, and full FeynRules compatibility, enhancing performance and flexibility for physics event simulations.

Contribution

It introduces a new version of MadGraph with efficient algorithms, a modern interface, and broad compatibility, enabling advanced physics modeling and collaborative development.

Findings

Enhanced performance and functionality across the program

New output formats including C++ libraries for Pythia 8

Successful demonstration of capabilities through phenomenological examples

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.