Enzo: An Adaptive Mesh Refinement Code for Astrophysics

TL;DR

Enzo is an open-source adaptive mesh refinement code designed for astrophysics simulations, supporting diverse physics and providing high-resolution modeling of complex fluid flows in multiple dimensions.

Contribution

The paper introduces Enzo, a versatile, open-source AMR code that integrates various physics modules and demonstrates high performance for astrophysical simulations.

Findings

Successfully models a wide range of astrophysical phenomena

Demonstrates efficient parallel performance

Provides solutions for diverse test problems

Abstract

This paper describes the open-source code Enzo, which uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical fluid flows. The code is Cartesian, can be run in 1, 2, and 3 dimensions, and supports a wide variety of physics including hydrodynamics, ideal and non-ideal magnetohydrodynamics, N-body dynamics (and, more broadly, self-gravity of fluids and particles), primordial gas chemistry, optically-thin radiative cooling of primordial and metal-enriched plasmas (as well as some optically-thick cooling models), radiation transport, cosmological expansion, and models for star formation and feedback in a cosmological context. In addition to explaining the algorithms implemented, we present solutions for a wide range of test problems, demonstrate the code's parallel performance, and discuss the Enzo collaboration's code development methodology.