Novel Conservative Methods for Adaptive Force Softening in Collisionless and Multi-Species N-Body Simulations
Philip F. Hopkins, Ethan O. Nadler, Michael Y. Grudic, Xuejian Shen, Isabel Sands, Fangzhou Jiang

TL;DR
This paper introduces new conservative adaptive force softening methods for collisionless N-body simulations, improving accuracy, conservation, and physical realism, especially in multi-species and high-dynamic-range scenarios.
Contribution
It derives a generalized energy-momentum conserving framework for adaptive softening, introduces novel softening schemes based on gravitational properties, and implements these in the GIZMO code.
Findings
Tidal softening scheme is physically motivated, Galilean invariant, and conservative.
The new methods reduce artificial disruption and N-body heating.
Implementation in GIZMO demonstrates improved accuracy and efficiency.
Abstract
Modeling self-gravity of collisionless fluids (e.g. ensembles of dark matter, stars, black holes, dust, planetary bodies) in simulations is challenging and requires some force softening. It is often desirable to allow softenings to evolve adaptively, in any high-dynamic range simulation, but this poses unique challenges of consistency, conservation, and accuracy, especially in multi-physics simulations where species with different softening laws may interact. We therefore derive a generalized form of the energy-and-momentum conserving gravitational equations of motion, applicable to arbitrary rules used to determine the force softening, together with consistent associated timestep criteria, interaction terms between species with different softening laws, and arbitrary maximum/minimum softenings. We also derive new methods to maintain better accuracy and conservation when symmetrizing…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Geophysics and Gravity Measurements · Scientific Research and Discoveries
