2020 Fall Meeting

Presentation information

Oral presentation

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

[1M09-12] Photon Measurement 2

Wed. Sep 16, 2020 3:55 PM - 5:05 PM Room M (Zoom room 13)

Chair:Hideo Tomita(Nagoya Univ.)

4:25 PM - 4:40 PM

[1M11] Estimation of radiation source distribution using radiation dose and gamma-ray Energy spectra

*Shun Sato1, Haruka Yamazaki1, Tsugiko Takase1, Katsuhiko Yamaguchi1 (1. Fukushima Univ.)

Keywords:Estimation of radiation sources, Machine learning, Energy spectrum, Plastic scintillation fiber, Monte Carlo Simulation

For the decommissioning work after the accident, it is important to estimate the "nuclide and position of radiation source".We have studied the estimation method using the machine learning method.In order to realize the "radiation source position estimation method using machine learning",it is necessary to match the learning data using Monte Carlo simulation (MCS) with the measurement data.
We collected the measurement data of the radiation dose and the spatial distribution of the energy spectrum using the standard radiation source, and fed it back to the learning data used MCS. NaI scintillator was used to measure the distribution of the radiation dose and the energy spectrum. We verified the estimation by machine learning using these measurement data.