Constraints on grain size and stable iron phases in the uppermost Inner Core from multiple scattering modeling of seismic velocity and attenuation
Marie Calvet (DTP), Ludovic Margerin (CEREGE)

TL;DR
This study models the uppermost inner core as an aggregate of randomly oriented anisotropic patches, constraining iron grain size and elastic properties through seismic wave scattering analysis, and suggests cubic iron stability without melt.
Contribution
It introduces a multiple scattering model of seismic waves in the inner core to constrain iron grain size and elastic constants, supporting cubic iron stability.
Findings
Patch size around 400 meters.
Good agreement with recent cubic iron models.
Melt may not be necessary to explain low shear wave speeds.
Abstract
We propose to model the uppermost inner core as an aggregate of randomly oriented anisotropic ``patches''. A patch is defined as an assemblage of a possibly large number of crystals with identically oriented crystallographic axes. This simple model accounts for the observed velocity isotropy of short period body waves, and offers a reasonable physical interpretation for the scatterers detected at the top of the inner core. From rigorous multiple scattering modeling of seismic wave propagation through the aggregate, we obtain strong constraints on both the size and the elastic constants of iron patches. We perform a systematic search for iron models compatible with measured seismic velocities and attenuations. An iron model is characterized by its symmetry (cubic or hexagonal), elastic constants, and patch size. Independent of the crystal symmetry, we infer a most likely size of patch of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHigh-pressure geophysics and materials · Seismic Waves and Analysis · Geophysics and Sensor Technology
