FSClassifier: a program to perform the BDT-based separation over identical final states
Authors: Belyaev Nikita, Petukhov Alexander, Soldatov Evgeny
FSClassifier is a python-based TMVA tool that allows to perform the separation of different final states with the Boosted Decision Trees. Current version of the tool is tuned to the ggF+2j vs VBF production channels separation in the Higgs and BSM Electroweak physics.
For the latest release and user guide check the FSClassifier download page.
Click here to contact the authors with questions.
This project is supported by The Russian Science Foundation, project 17-72-10021.