TL;DR
This paper introduces a Helmholtz-Hodge decomposition method for separating turbulent velocity fields into compressive and solenoidal components in cosmological simulations, achieving high accuracy across resolutions.
Contribution
The authors develop and implement a novel Helmholtz-Hodge decomposition algorithm tailored for multi-grid AMR cosmological simulation outputs, with demonstrated high accuracy.
Findings
Median errors around 1% in tests
Consistent accuracy across different resolutions
Effective decomposition around a galaxy cluster
Abstract
In the context of intra-cluster medium turbulence, it is essential to be able to split the turbulent velocity field in a compressive and a solenoidal component. We describe and implement a new method for this aim, i.e., performing a Helmholtz-Hodge decomposition, in multi-grid, multi-resolution descriptions, focusing on (but not being restricted to) the outputs of AMR cosmological simulations. The method is based on solving elliptic equations for a scalar and a vector potential, from which the compressive and the solenoidal velocity fields, respectively, are derived through differentiation. These equations are addressed using a combination of Fourier (for the base grid) and iterative (for the refinement grids) methods. We present several idealised tests for our implementation, reporting typical median errors in the order of -, and with 95-percentile errors below a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
