MadAnalysis 5 is a 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 (MC) event generators. MadAnalysis 5 comes with two modes of running. The first one, easier to handle, uses the strengths of a powerful Python interface to implement the analysis utilizing a set of intuitive commands. The second one requires implementing the analysis in the C++ programming language directly within the core of the analysis framework. This opens unlimited possibilities concerning the level of complexity that can be reached by the analysis, which is only limited by the programming skills and the originality of the user.
Multi-dimensional histograms are an essential tool for multivariate analyses. Currently MadAnalysis is only equipped with methods allowing for one-dimensional histograms. This project aims at designing a 2D histogram generator in C++, a histogram writer using SQL, and our local human readable output format. Finally, a Python-based plot generator will be designed, allowing our user to plot 2D histograms in a fully automated manner.