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

@article{Brochet2018MoMEMtaAM,
title={MoMEMta, a modular toolkit for the Matrix Element Method at the LHC},
author={S{\'e}bastien Brochet and C. Delaere and Brieuc François and Vincent Lema{\^i}tre and Alexandre Mertens and Alessia Saggio and M Vidal Marono and S{\'e}bastien Wertz},
journal={The European Physical Journal C},
year={2018},
volume={79},
pages={1-12}
}
• Published 22 May 2018
• Physics
• The European Physical Journal C
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…
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## References

SHOWING 1-10 OF 71 REFERENCES

• Physics, Computer Science
• 2010
This work presents a procedure that allows to automatically evaluate the weights for any process of interest in the standard model and beyond, and creates a phase-space mapping designed to efficiently perform the integration of the squared matrix element and the transfer functions.
• Physics
• 2014
The new version of the DELPHES C++ fast-simulation framework is presented. The tool is written in C++ and is interfaced with the most common Monte Carlo file formats (LHEF, HepMC, STDHEP). Its
• Physics
• 2015
The Fortran LHAPDF library has been a long-term workhorse in particle physics, providing standardised access to parton density functions for experimental and phenomenological purposes alike,
• Physics
• 2011
The matrix element method (MEM) has been extensively used for the analysis of top-quark and W-boson physics at the Tevatron, but in general without dedicated treatment of initial state QCD radiation.
• Physics
Physical review letters
• 2013
It is found that a moderate integrated luminosity in the next LHC run will be enough to make the signature involving both W's decaying leptonically as sensitive as the single-lepton one.
• Physics
• 2008
In this paper the current release of the Monte Carlo event generator Sherpa, version 1.1, is presented. Sherpa is a general-purpose tool for the simulation of particle collisions at high-energy
• Physics
• 2009
In this paper the current release of the Monte Carlo event generator Sherpa, version 1.1, is presented. Sherpa is a general-purpose tool for the simulation of particle colli- sions at high-energy
• Physics
• 2014
A bstractWe discuss the theoretical bases that underpin the automation of the computations of tree-level and next-to-leading order cross sections, of their matching to parton shower simulations, and