[18p-C213-1~16] 2.2 Detection systems

△ [18p-C213-10] Total energy estimation method of multi-layer muon detector based on machine learning technique

〇Tomohiro Komori¹, Tadahiro Kin¹, Hikaru Sato¹, Naoya Okamoto¹, Yu Horai¹, Shusaku Noda², Tetsuya Amano² (1.Kyushu Univ., 2.JFE Engineering Corp.)

Keywords:cosmic ray muons, machine learning, detector

In this research, we propose a multi-layer detector as an energy estimation detector for cosmic ray muons and a method to analyze the data by machine learning. The multi-layer detector is a combination of a plastic scintillators and shields. We made learning data by simulation and performed machine learning by fully connected nural netwaork using it for proof of principle of this method.