2018 Annual Meeting

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Oral presentation

II. Radiation, Accelerator and Beam Technologies » 202-2 Radiation Physics, Radiation Detection and Measurement

[2H10-15] Measurement Technique

Tue. Mar 27, 2018 2:45 PM - 4:20 PM Room H (U2-213 -U2 Building)

Chair: Hideki Tomita (Nagoya Univ.)

3:30 PM - 3:45 PM

[2H13] Deep Learning for Estimation of Radioactivity Distribution

*Ryota Yamauchi1, Fuminobu Sato1, Isao Murata1 (1. Osaka Univ.)

Keywords:Deep learning, Neural network, Radioactivity distribution

We examined the feasibility of estimation of radioactivity distribution using deep learning. As a result, it was found that even if the distribution of radiation sources was simple, it was rather difficult to estimate the position very well. We expect that it depends on selection of training data.