Combining multiple structural inversions to constrain the Solar modelling problem
G. Buldgen, S. J. A. J. Salmon, A. Noels, R. Scuflaire, J. Montalban,, V.A. Baturin, P. Eggenberger, V.K. Gryaznov, I.L. Iosilevskiy, G. Meynet, W., J. Chaplin, A. Miglio, A.V. Oreshina, O. Richard, A.N. Starostin

TL;DR
This paper combines multiple structural inversions with observational constraints to better understand and address the solar modelling problem, revealing the need for opacity adjustments and additional mixing to improve model accuracy.
Contribution
It introduces a multi-inversion approach combined with observational constraints to diagnose and constrain the sources of discrepancies in solar models, especially regarding opacity and mixing.
Findings
A 15% opacity increase at log T=6.35 improves models
Global opacity increase with extra mixing yields best fit for low metallicity
High metallicity models do not satisfy all inversion constraints
Abstract
The Sun is the most studied of all stars. It is a reference for all other observed stars and a laboratory of fundamental physics helping us understand processes occuring in conditions irreproducible on Earth. However, our understanding of the Sun is currently stained by the solar modelling problem which can stem from various causes, such as the opacities, the equation of state and the mixing of chemical elements. We combine inversions of sound speed, an entropy proxy and the Ledoux discriminant with constraints such as the position of the base of the convective zone and the photospheric helium abundance. We test various combinations of standard ingredients for solar modelling such as abundance tables, equation of state, formalism for convection and diffusion and opacity tables and study the diagnostic potential of the inversions to constrain ad-hoc modifications of the opacity profile…
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