6 | | MadGraph5_aMC@NLO is the new version of the MadGraph5, written in the Python programming language, that includes NLO functionalities. 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 [http://feynrules.irmp.ucl.ac.be/ 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. |
| 6 | MadGraph5_aMC@NLO is the new version of the MadGraph5, written in the Python programming language, that includes the aMC@NLO functionalities. 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 [http://feynrules.irmp.ucl.ac.be/ 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. |