An Improved Multipole Approximation for Self-Gravity and Its Importance for Core-Collapse Supernova Simulations
Sean M. Couch, Carlo Graziani, and Norbert Flocke

TL;DR
This paper presents an improved multipole approximation method for self-gravity calculations in supernova simulations, reducing errors and enhancing accuracy in key observables like shock expansion and proto-neutron star motion.
Contribution
The authors introduce a novel multipole self-gravity scheme that corrects numerical and positional errors, significantly improving simulation accuracy.
Findings
Enhanced accuracy in gravitational potential computation.
Better conservation of momentum and shock dynamics.
Validated improvements with analytical and supernova models.
Abstract
Self-gravity computation by multipole expansion is a common approach in problems such as core-collapse and Type Ia supernovae, where single large condensations of mass must be treated. The standard formulation of multipole self-gravity suffers from two significant sources of error, which we correct in the formulation presented in this article. The first source of error is due to the numerical approximation that effectively places grid cell mass at the central point of the cell, then computes the gravitational potential at that point, resulting in a convergence failure of the multipole expansion. We describe a new scheme that avoids this problem by computing gravitational potential at cell faces. The second source of error is due to sub-optimal choice of location for the expansion center, which results in angular power at high multipole values in the gravitational field, requiring a…
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