Developments and applications of machine-learning techniques to search for hypernuclear events

Abstract

  Particle and nuclear studies have been carried out using the nuclear emulsion for a long time, and the nuclear emulsion with high positional resolution is still one of the most powerful detectors in this field. However, a large amount of human workload was needed to analyze huge number of images. Recently, machine learning techniques have been introduced to efficiently detect tracks in the images. In this article, various machine learning methods used in hypernuclear study and their applications are presented.