JpGU-AGU Joint Meeting 2020

Presentation information

[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-GI General Geosciences, Information Geosciences & Simulations

[M-GI39] Data-driven geosciences

convener:Tatsu Kuwatani(Japan Agency for Marine-Earth Science and Technology), Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Kenta Ueki(Japan Agency for Marine-Earth Science and Technology), Shin-ichi Ito(The University of Tokyo)

[MGI39-08] Bayesian modeling of the equation-of-state for liquid iron under high-P and high-T conditions corresponding to the Earth’s outer core

*Taroujirou Matumura1, Yasuhiro Kuwayama2, Kenta Ueki3, Tatsu Kuwatani3,6, Yasunobu Ando1, Kenji Nagata4,6, Shin-ichi Ito5, Hiromichi Nagao5 (1.Research Center for Computational Design of Advanced Functional Materials (CD-FMat), National Institute of Advanced Industrial Science and Technology, 2.Department of Earth and Planetary Science, The University of Tokyo, 3.Research Institute for Marine Geodynamics, Japan Agency for Marine-Earth Science and Technology, 4.Research Center for Advanced Measurement and Characterization, National Institute for Materials Science (NIMS), 5.Earthquake Research Institute, The University of Tokyo, 6.Japan Science and Technology Agency, PRESTO)

Keywords:Bayesian inference, Equation-of-state, Liquid iron, Earth’s outer core

We demonstrate Bayesian modeling of the equation-of-state (EoS) by using experimental data sets to constrain the density (ρ) and the P-wave velocity (VP) of liquid iron under high–pressure (P) and high–temperature (T) conditions corresponding to the Earth’s outer core. As an experiment under the conditions of high–P and high–T is still technically challenging, an optimization of the parameters of EoS is required to be performed efficiently by using small amount of data sets including unobservable data. To analyze such data sets, the parameters and unobservable data were assumed to be random variables in the Bayesian inference, and the Hamiltonian Monte Carlo method successfully calculated the posterior probability density functions of the parameters and unobservable data. These posterior densities enable us to estimate the EoS curves with the credible intervals and the P–ρ and PVP relations of liquid iron along the adiabatic PT paths corresponding to the Earth’s outer core. The P–ρ and PVP relations showed that the deviations of ρ and VP from the preliminary reference Earth model are in the ranges of 8–10% and -3–-5%, respectively, when the temperature at the core-mantle boundary is assumed to be in the range of 3500–4200K.