Develeopment of the machine-learning data analysis for muSR

The higher muon statistics is important to achieve the high-quality data. But when we slice the run time to be in a short time to investigate the time dependence of the dynamics, and when we use tiny samples, the data statics becomes very low. We are going to develop a new way to use those those low-static data by using the machine-learning technique. In order to trigger this new project, we propose to gather many low-static data sets in order to train machine-leanring program circuits.