MadAnalysis 5, a user-friendly framework for collider phenomenology

Published: 1 January 2013| Version 1 | DOI: 10.17632/9bhyrv2nhf.1
Eric Conte, Benjamin Fuks, Guillaume Serret


This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present MadAnalysis 5, a new framework for phenomenological investigations at particle colliders. Based on a C++ kernel, this program allows us to efficiently perform, in a straightforward and user-friendly fashion, sophisticated physics analyses of event files such as those generated by a large class of Monte Carlo event generators. MadAnalysis 5 comes with two modes of running. The first one, easier to handle, uses the strengths of a powerful Python interface in order to implement physic... Title of program: MadAnalysis 5 Catalogue Id: AENO_v1_0 Nature of problem Implementing sophisticated phenomenological analyses in high-energy physics through a flexible, efficient and straightforward fashion, starting from event files such as those produced by Monte Carlo event generators. The events files can have been matched or not to parton-showering and can have been processed or not by a (fast) simulation of a detector. According to the sophistication level of the event files (parton-level, hadron-level, reconstructed-level), one must note that several input for ... Versions of this program held in the CPC repository in Mendeley Data AENO_v1_0; MadAnalysis 5; 10.1016/j.cpc.2012.09.009



Computational Physics, Elementary Particles