[1M09-12] Photon Measurement 2

[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.