A mean curvature flow method for numerical cosmology
Matthew Doniere, David Garfinkle

TL;DR
This paper introduces a mean curvature flow method tailored for numerical cosmology, demonstrating its capability to handle large inhomogeneities during inflationary scenarios in a proof-of-concept study.
Contribution
The paper presents a novel mean curvature flow approach specifically designed for numerical cosmology applications involving inhomogeneous inflation.
Findings
Method successfully handles large inhomogeneities
Can model regions exiting inflation at different times
Proof of concept demonstrates feasibility
Abstract
We provide a mean curvature flow method for numerical cosmology and test it on cases of inhomogenous inflation. The results show (in a proof of concept way) that the method can handle even large inhomogeneities that result from different regions exiting inflation at different times.
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Taxonomy
TopicsCosmology and Gravitation Theories · Computational Physics and Python Applications · Geophysics and Gravity Measurements
