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arxiv: 1405.2255 · v1 · submitted 2014-05-09 · 🌌 astro-ph.IM · physics.comp-ph

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A fast multipole method for stellar dynamics

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classification 🌌 astro-ph.IM physics.comp-ph
keywords errorsforcemultipoleapproximatecellcomputationaldirectexpansion
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The approximate computation of all gravitational forces between $N$ interacting particles via the fast multipole method (FMM) can be made as accurate as direct summation, but requires less than $\mathcal{O}(N)$ operations. FMM groups particles into spatially bounded cells and uses cell-cell interactions to approximate the force at any position within the sink cell by a Taylor expansion obtained from the multipole expansion of the source cell. By employing a novel estimate for the errors incurred in this process, I minimise the computational effort required for a given accuracy and obtain a well-behaved distribution of force errors. For relative force errors of $\sim10^{-7}$, the computational costs exhibit an empirical scaling of $\propto N^{0.87}$. My implementation (running on a 16 core node) out-performs a GPU-based direct summation with comparable force errors for $N\gtrsim10^5$.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. FLAMINGO: The thermal history of the Universe from tSZ effect cross-correlations and its dependencies on cosmology and baryon physics

    astro-ph.CO 2026-05 unverdicted novelty 6.0

    FLAMINGO simulations show tSZ cross-correlations scale as S8 to the power of about 3 and favor low S8=0.72 with strong feedback when compared to SDSS, BOSS, DES, and Planck data.

  2. FLAMINGO: The thermal history of the Universe from tSZ effect cross-correlations and its dependencies on cosmology and baryon physics

    astro-ph.CO 2026-05 conditional novelty 6.0

    tSZ cross-correlations with large-scale structure tracers prefer low S8 and strong baryonic feedback, yielding S8 = 0.72 and low group baryon fraction in FLAMINGO simulations.