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April 15, 20262 citationsOpen Access

Flux-Stagger: A Vectorized Staggered-Mesh MHD Solver for Magnetorotational Instability in Accretion Disks

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SKSRI LAKSHMANA AVINASH KAKILETI

Key Points

  • The aim is to develop a vectorized MHD solver to simulate Magnetorotational Instability in accretion disks accurately.
  • Designed a 2D magnetohydrodynamic solver using Python.
  • Implemented a staggered-mesh Constrained Transport scheme.
  • Utilized NumPy for vectorization to enhance computation efficiency.
  • Simulated various phases of Magnetorotational Instability.
  • Successfully reproduced key phases of Magnetorotational Instability.
  • Achieved a magnetic energy growth rate of γ ≈ 0.182.
  • Results align closely with theoretical predictions.
  • Demonstrated the capability for high-fidelity MHD behavior.

Abstract

This work presents the development of Flux-Stagger, a fully vectorized Python-based 2D magnetohydrodynamic (MHD) solver designed to simulate the Magnetorotational Instability (MRI) in Keplerian accretion disks. The solver employs a staggered-mesh Constrained Transport (CT) scheme to rigorously maintain the divergence-free condition (∇·B = 0), ensuring physical consistency without artificial correction methods. The implementation leverages NumPy-based vectorization for efficient computation on standard hardware. The simulation successfully reproduces the key evolutionary phases of MRI, including the initial laminar state, exponential growth, non-linear saturation, and transition to sustained turbulence. A magnetic energy growth rate of γ ≈ 0.182 is obtained through log-linear fitting, aligning closely with theoretical predictions. These results demonstrate that high-fidelity MHD behavior can be captured using lightweight computational frameworks, providing a foundation for further extensions such as 3D simulations and advanced astrophysical modeling. GitHub Repository: https://github.com/Avinash1533/2D-MHD-MRI-Simulation

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SRI LAKSHMANA AVINASH KAKILETI (2026) studied this question.

synapsesocial.com/papers/69df2c77e4eeef8a2a6b18fchttps://doi.org/10.5281/zenodo.19553385
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