Magnetic power spectra from Faraday rotation maps - REALMAF and its use on Hydra A
Petr Kuchar, Torsten A. Ensslin

TL;DR
This paper introduces a new maximum-a-posteriori method and the REALMAF code to measure magnetic power spectra from Faraday rotation data, applied to Hydra A, revealing a Kolmogorov-like spectrum and magnetic field profiles.
Contribution
The paper presents a novel Bayesian approach and a new code for analyzing magnetic power spectra from Faraday rotation data, improving upon previous methods.
Findings
Power spectrum follows a Kolmogorov-like power law between 0.3 and 8 kpc.
Magnetic field strength correlates with electron density profile.
Extrapolated magnetic field strength is 36 μG at the cluster center for a 45° jet angle.
Abstract
We develop a novel maximum-a-posteriori method to measure magnetic power spectra from Faraday rotation data and implement it in the REALMAF code. A sophisticated model for the magnetic autocorrelation in real space permits us to alleviate previously required simplifying assumptions in the processing. We also introduce a way to treat the divergence relation of the magnetic field with a multiplicative factor in Fourier space, with which we can model the magnetic autocorrelation as a spherically symmetric function. Applied to the dataset of Hydra A north, we find a power law power spectrum on spatial scales between 0.3 kpc and 8 kpc, with no visible turnover at large scales within this range and a spectral index consistent with a Kolmogorov-like power law regime. The magnetic field strength profile seems to follow the electron density profile with an index alpha=1. A variation of alpha…
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Taxonomy
TopicsGeomagnetism and Paleomagnetism Studies · Solar and Space Plasma Dynamics · Earthquake Detection and Analysis
