Construction of a Multidimensional Parallel Adaptive Mesh Refinement Special Relativistic Hydrodynamics Code for Astrophysical Applications

TL;DR

This paper introduces RELDAFNA, a new parallel adaptive mesh refinement code for special relativistic hydrodynamics, achieving high accuracy and efficiency for complex astrophysical simulations.

Contribution

The paper presents RELDAFNA, a novel AMR-based SRHD code with advanced numerical schemes, optimized for high-performance astrophysical computations.

Findings

RELDAFNA accurately simulates relativistic flows in multiple dimensions.

It requires fewer variables and computations than comparable codes.

It is effective for high-resolution 3D astrophysical simulations.

Abstract

We have developed a new computer code, RELDAFNA, to solve the conservative equations of special relativistic hydrodynamics (SRHD) using adaptive mesh refinement (AMR) on parallel computers. We have implemented a characteristic-wise, finite volume Godunov scheme using the full characteristic decomposition of the SRHD equations, to achieve second and third order accuracy in space (both PLM and PPM reconstruction). For time integration, we use the method of directional splitting with symmetrization, which is second order accurate in time. We have also implemented second and third order Runge-Kutta time integration scheme for comparison. In addition to the hydrodynamics solvers we have implemented approximate Riemann solvers along with an exact Riemann solver. We examine the ability of RELDAFNA to accurately simulate special relativistic flows efficiently in number of processors, computer memory and over all integration time. We show that a wide variety of test problems can be solved as accurately as solved by higher order programs, such as RAM, GENESIS, or PLUTO, but with a less number of variables kept in memory and computer calculations than most schemes, an advantage which is crucial for 3D high resolution simulations to be of practical use for scientific research in computational astrophysics. RELDAFNA has been tested in one, two and three dimensions and in Cartesian, cylindrical and spherical geometries. We present the ability of RELDAFNA to assist with the understanding of open questions in high energy astrophysics which involve relativistic flows.