MoMEMta, a modular toolkit for the Matrix Element Method at the LHC

TL;DR

MoMEMta is a flexible, modular C++ toolkit that simplifies and accelerates the application of the Matrix Element Method for data analysis at the LHC, benefiting both theorists and experimentalists.

Contribution

It introduces MoMEMta, a new software package that enhances usability and flexibility for applying the Matrix Element Method in LHC analyses.

Findings

Improves computational efficiency of the Matrix Element Method.

Provides versatile, user-friendly tools for LHC data analysis.

Enables a wide range of applications with a single software platform.

Abstract

The Matrix Element Method has proven to be a powerful method to optimally exploit the information available in detector data. Its widespread use is nevertheless impeded by its complexity and the associated computing time. MoMEMta, a C++ software package to compute the integrals at the core of the method, provides a versatile implementation of the Matrix Element Method to both the theory and experiment communities. Its modular structure covers the needs of experimental analysis workflows at the LHC without compromising ease of use on simpler and smaller simulated samples used for phenomenological studies. With respect to existing tools, MoMEMta improves on usability and flexibility. In this paper, we present version 1.0 of MoMEMta, together with examples illustrating the wide range of applications at the LHC accessible for the first time with a single tool.