Relativistic Hydrodynamics with Wavelets
Jackson DeBuhr, Bo Zhang, Matthew Anderson, David Neilsen, Eric W., Hirschmann

TL;DR
This paper introduces a novel wavelet-based method for solving relativistic hydrodynamic equations, offering high adaptivity and accuracy crucial for astrophysical simulations involving complex, multi-scale fluid phenomena.
Contribution
The work develops a new wavelet-based integration method for relativistic hydrodynamics and implements a highly adaptive multidimensional simulation code called OAHU.
Findings
Successfully applied to high Lorentz factor outflows.
Effectively captures fluid instabilities like Kelvin-Helmholtz and Rayleigh-Taylor.
Demonstrates improved adaptivity over traditional methods.
Abstract
Methods to solve the relativistic hydrodynamic equations are a key computational kernel in a large number of astrophysics simulations and are crucial to understanding the electromagnetic signals that originate from the merger of astrophysical compact objects. Because of the many physical length scales present when simulating such mergers, these methods must be highly adaptive and capable of automatically resolving numerous localized features and instabilities that emerge throughout the computational domain across many temporal scales. While this has been historically accomplished with adaptive mesh refinement (AMR) based methods, alternatives based on wavelet bases and the wavelet transformation have recently achieved significant success in adaptive representation for advanced engineering applications. This work presents a new method for the integration of the relativistic hydrodynamic…
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