Speaker
Mr
Aleksandr Semenov
(BINP)
Description
In this work we discuss the new way of the track finding procedure for g–
2/EDM experiment at J-PARC. This procedure implements the multivariate
classification method on machine learning techniques with TMVA package
and ROOT. The data from GEANT4 simulation are used for the training
and testing the program. All simulated positron tracks were divided into
three groups by the value of the transverse momentum for the better machine
learning. Preliminary results of the new track finding method are presented.
Primary author
Mr
Aleksandr Semenov
(BINP)
