Iterative removal of sources to model the turbulent electromotive force
Abhijit B. Bendre, Jennifer Schober, Prasun Dhang, Kandaswamy, Subramanian

TL;DR
This paper introduces IROS, a novel iterative method inspired by radio astronomy algorithms, to accurately compute dynamo tensors from MHD simulations, improving robustness and noise handling over previous techniques.
Contribution
The paper presents IROS, a new generalization of the CLEAN algorithm, for modeling turbulent electromotive force in dynamo theory from MHD simulation data.
Findings
IROS reliably recovers dynamo coefficients from simulations.
It effectively incorporates priors during inversion.
It performs well even with high noise levels in synthetic data.
Abstract
We describe a novel method to compute the components of dynamo tensors from direct magnetohydrodynamic (MHD) simulations. Our method relies upon an extension and generalisation of the standard H\"ogbom CLEAN algorithm widely used in radio astronomy to systematically remove the impact of the strongest beams onto the corresponding image. This generalisation, called the Iterative Removal of Sources (IROS) method, has been adopted here to model the turbulent electromotive force (EMF) in terms of the mean magnetic fields and currents. Analogous to the CLEAN algorithm, IROS treats the time series of the mean magnetic field and current as beams that convolve with the dynamo coefficients which are treated as (clean) images to produce the EMF time series (the dirty image). We apply this method to MHD simulations of galactic dynamos, to which we have previously employed other methods of computing…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Solar and Space Plasma Dynamics · Stellar, planetary, and galactic studies
