[17a-K201-1~10] 2.2 Radiation generators, Detector development, Measurement technology

11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)

[17a-K201-9] Real-time particle visualization in an electriccooled cloud chamber using machine learning

〇Takeshi Fujiwara¹, Hiromi Kimura¹, Chihiro Shimodan¹, Sawako Futagi¹ (1.AIST)

Keywords:

cloud chamber,machine learning

This paper presents the development and implementation of an electric-cooled cloud chamber designed to visualize alpha and beta particle tracks. Traditional cloud chambers rely on dry ice for cooling, which can be cumbersome and impractical for extended use. Our approach employs a Peltier device coupled with a commercial CPU cooler, providing a stable, large field of view, and long-lasting cooling environment. Additionally, we have integrated a real-time visualization system utilizing OpenCV and machine learning with TensorFlow. This system accurately identifies and labels particle tracks, enhancing the educational experience.