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 ...
AbstractThe prevalence of null results in searches for new physics at the LHC motivates the effort t...
peer reviewedOne major challenge for the legacy measurements at the LHC is that the likelihood funct...
The matrix element technique provides a superior statistical sensitivity for precision measurements ...
The Matrix Element Method has proven to be a powerful method to optimally exploit the information av...
The Matrix Element Method (MEM) is a powerful multivariate method allowing to maximally exploit the ...
Lot of efforts have been devoted by ATLAS and CMS teams to improve the quality of LHC events analysi...
Given a sample of experimental events and a set of theoretical models, the matrix element method (ME...
The Matrix Element Method (MEM) is a HEP-specific technique to directly calculate the likelihood for...
The observation of the associated production of the Higgs boson with two top quarks in proton-proton...
The increasing use of multivariate methods, and in particular the Matrix Element Method (MEM), repre...
The Matrix Element Method (MEM) is unique among the analysis methods used in experimental particle p...
Thus far the LHC experiments have yet to discover beyond-the-standard-model physics. This motivates ...
The matrix element method utilizes ab initio calculations of probability densities as power- ful dis...
The evaluation of one-loop matrix elements is one of the main bottlenecks in precision calculations ...
Many highly developed Monte Carlo tools for the evaluation of cross sections based on tree matrix el...
AbstractThe prevalence of null results in searches for new physics at the LHC motivates the effort t...
peer reviewedOne major challenge for the legacy measurements at the LHC is that the likelihood funct...
The matrix element technique provides a superior statistical sensitivity for precision measurements ...
The Matrix Element Method has proven to be a powerful method to optimally exploit the information av...
The Matrix Element Method (MEM) is a powerful multivariate method allowing to maximally exploit the ...
Lot of efforts have been devoted by ATLAS and CMS teams to improve the quality of LHC events analysi...
Given a sample of experimental events and a set of theoretical models, the matrix element method (ME...
The Matrix Element Method (MEM) is a HEP-specific technique to directly calculate the likelihood for...
The observation of the associated production of the Higgs boson with two top quarks in proton-proton...
The increasing use of multivariate methods, and in particular the Matrix Element Method (MEM), repre...
The Matrix Element Method (MEM) is unique among the analysis methods used in experimental particle p...
Thus far the LHC experiments have yet to discover beyond-the-standard-model physics. This motivates ...
The matrix element method utilizes ab initio calculations of probability densities as power- ful dis...
The evaluation of one-loop matrix elements is one of the main bottlenecks in precision calculations ...
Many highly developed Monte Carlo tools for the evaluation of cross sections based on tree matrix el...
AbstractThe prevalence of null results in searches for new physics at the LHC motivates the effort t...
peer reviewedOne major challenge for the legacy measurements at the LHC is that the likelihood funct...
The matrix element technique provides a superior statistical sensitivity for precision measurements ...