CAFE-AMR: A computational MHD Solar Physics simulation tool that uses AMR

TL;DR

CAFE-AMR is a novel computational tool that combines Adaptive Mesh Refinement with MHD equations to simulate solar phenomena across multiple scales, aiding Space Weather research.

Contribution

It introduces a new AMR-based MHD simulation framework specifically designed for Solar Physics, with detailed evaluation of mesh refinement strategies and validation through Solar Wind models.

Findings

Effective simulation of idealized Solar Wind models

Demonstrated capability of AMR in Solar Physics applications

Enhanced resolution of multi-scale solar phenomena

Abstract

The study of our Sun holds significant importance in Space Weather research, encompassing a diverse range of phenomena characterized by distinct temporal and spatial scales. To address these complexities, we developed CAFE-AMR, an implementation of an Adaptive Mesh Refinement (AMR) strategy coupled with a Magnetohydrodynamics (MHD) equation solver, aiming to tackle Solar Physics-related problems. CAFE-AMR employs standard fluid dynamics methods, including Finite Volume discretization, HLL and Roe class flux formulas, linear order reconstructors, second-order Runge-Kutta, and Corner Transport Upwind time stepping. In this paper, we present the core structure of CAFE-AMR, discuss and evaluate mesh refinement criteria strategies, and conduct various tests, including simulations of idealized Solar Wind models, relevant for Space Weather applications.