Advanced multivariate analysis methods for use by the experiments at the Large Hadron Collider*

Abstract

Abstract In the course of the past four years, AMVA4NewPhysics, a Horizon2020-funded Marie Skłodowska-Curie (MSCA) Innovative Training Network, focused on the study of Multivariate Analysis Methods and Statistical Learning tools for the High Energy Physics research. Through the individual and collaborative work of its members, AMVA4NewPhysics succeeded in developing and optimising several such tools for use by the ATLAS and CMS experiments at the Large Hadron Collider, at CERN, promising to improve their measurement and search sensitivity. In this paper, some of these new tools are presented, along with their related results.