Precise measurement on the binding energy of hypertriton from the nuclear emulsion data using analysis with machine learning


 A machine learning model has been developed to search events of production and decay a hypertriton in nuclear emulsion data, which is used for measuring the binding energy at best precision. The employs an established technique object detection trained with surrogate images generated by Monte Carlo simulations image transfer techniques. first event already detected method only 10−4 total data. It implies that sufficient number will soon be precise measurement energy.