[22a-52A-1~9] 23.1 Joint Session N "Informatics"

9:45 AM - 10:00 AM JST(12:45 AM - 1:00 AM UTC)

[22a-52A-3] Multi-component plasma analysis by the measurement data analysis framework 2DMAT.

〇(M1)Yuma Terachi¹, Kentaro Sakai¹, Lan Gao², Hantao Ji², Takeo Hoshi¹ (1.Nat. Inst. Fusion Science, 2.Princeton Plasma Phys. Lab.)

Keywords:

Bayesian inference,Non-equilibrium plasmas,Laboratory astrophysics

Our measurement data analysis framework "2DMAT" is applied to multi-component plasma analysis in the field of laboratory astrophysics. The local temperature, density, velocity, ion valence, etc. are estimated from experimental data for the spectrum of non-equilibrium multi-component plasmas generated by high power laser irradiation of solids using the Population Annealing Monte Carlo (PAMC) method, a massively parallel computation. The Bayesian posterior probability distributions obtained from the PAMC method are also reported.