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. With the FSClassifier it is possible to use any user-defined event topology and perform the full-chain BDT analysis from the automatic generation of kinematic final state observables to the creation of the ROC-curves. FSClassifier can be also used to perform the statistical and correlation tests of chosen observables.
For the latest release and user guide check the FSClassifier download page.
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This project is supported by The Russian Science Foundation, project 17-72-10021.