Presentation Information

9:30 AM - 9:45 AM JST(12:30 AM - 12:45 AM UTC)

[22a-52A-2]Measurement data-analysis framework 2DMAT : application studies with Fugaku

〇Takeo Hoshi^1,2,3, Harumichi Iwamoto⁴, Naoki Kinoshita⁴, Takeru Sawagashira⁴, Akito Nakano¹, Yuma Terachi¹, Izumi Mochizuki², Rezwan Ahmed², Ken Wada², Satoru Takakusagi⁵, Shuhei Kudo⁶, Yuichi Motoyama³, Kazuyoshi Yoshimi³ (1.Nat. Inst. Fusion Science, 2.KEK, 3.Univ. Tokyo, 4.Tottori Univ., 5.Hokkaido Univ., 6.Univ. Elec. Comm.)

Keywords:

Bayesian inference,two-dimensional material,Supercomputer Fugaku

An overview and application examples are reported for our measurement data analysis framework "2DMAT" (https://github.com/issp-center-dev/2DMAT/). 2DMAT enables fast and reliable data analysis, such as Bayesian inference, using massively parallel computing. It has achieved high parallel efficiency in Fugaku and has been mainly applied to total-reflection high-energy positron diffraction (TRHEPD), a two-dimensional material structure measurement method, and is spreading to other measurement methods.

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