Presentation Information

[2B12]Development of Exposure Reduction Technologies by Digitalization of Environment and Radioactive Source Distribution(3) LASSO Theory and Demonstration for Inverse Estimation on Radioactive Source Distributions

*Wei Shi1, Masahiko Machida2, Susumu Yamada2, Toru Yoshida3, Yukihiro Hasegawa3, Koji Okamoto1,2 (1. UTokyo, 2. JAEA, 3. RIST)

Keywords:

Inverse Estimation on Radioactive Source Distributions,Air Dose Rate Measurement,Least Absolute Shrinkage and Selection Operator,Monte Carlo Simulation for Gamma Ray

A mathematical criterion on the number of monitoring points to correctly predict source distributions based on LASSO theory is developed for ill-posed radioactive source reconstruction. We employ Monte Carlo simulation to demonstrate and verify the feasibility of LASSO. Moreover, an influence factor like detector-source distance to enhance the predicting possibility in the inverse estimation is also examined.