Nemesis: A Multi-Scale, Multi-Physics Algorithm for Astrophysics
Erwan Hochart, Simon Portegies Zwart

TL;DR
Nemesis is an advanced multi-scale, multi-physics algorithm integrated with AMUSE, validated through simulations, demonstrating accurate results and scalable performance for complex astrophysical systems.
Contribution
The paper introduces and validates Nemesis, a novel multi-scale, multi-physics algorithm that enhances simulation accuracy and scalability in astrophysics.
Findings
Nemesis yields results indistinguishable from direct N-body code Ph4.
It accurately captures the von Zeipel-Lidov-Kozai effect.
Computational time scales favorably with the number of systems and cores.
Abstract
In this work, an updated version of the multi-scale, multi-physics algorithm, Nemesis which makes use of the Astrophysical Multipurpose Software Environment (AMUSE). The algorithm is formally introduced and validated. A suite of simulations is run to assess its performance in simulating star clusters containing planetary systems, its ability to capture the von Zeipel-Lidov-Kozai effect, and its computational scalability. Nemesis is found to yield indistinguishable results in both the global and local scales when compared with the direct N-body code Ph4. The same conclusion is found when analysing its ability to capture the von Zeipel-Lidov-Kozai effect. When analysing its computational performance, the wall-clock time scales roughly as t_{\rm sim \propto 1/ \sqrt{\delta t_{\rm nem}} where represents the time synchronisation between the global and local scales.…
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