The 83rd JSAP Autumn Meeting 2022

Presentation information

Oral presentation

23 Joint Session N "Informatics" » 23.1 Joint Session N "Informatics"

[22p-M206-1~16] 23.1 Joint Session N "Informatics"

Thu. Sep 22, 2022 1:30 PM - 6:00 PM M206 (Multimedia Research Hall)

Toyohiro Chikyo(NIMS), Isao Ohkubo(NIMS), Shigetaka Tomiya(SONY Corp.)

5:30 PM - 5:45 PM

[22p-M206-15] Application of parallel Monte Carlo Method to Total Reflection High-energy Positron Diffraction (TRHEPD) Experiment -Analysis of Bayesian Posterior Probability Distribution-

Takeo Hoshi1,2, Harumichi Iwamoto1, Kinoshita Naoki1, Yuuma Terachi1 (1.Tottori Univ., 2.KEK-IMSS-SPF)

Keywords:massively parallel Monte Carlo method, Total Reflection High-energy Positron Diffraction (TRHEPD), Bayesian posterior probability distribution

We applied the parallel Monte Carlo method to Total Reflection High-energy Positron Diffraction (TRHEPD) experiment using our recently developed measurement data analysis framework, 2DMAT. As a test system, the structural analysis (determination of atomic coordinates) of the Ge(001)-c4x2 surface structure was performed using the supercomputer Fugaku. In particular, we report on the Bayesian posterior probability distribution with multiple solutions in high-dimensional data space, which was analyzed using principal component analysis and other methods.