Diagnostics of magnetohydrodynamic modes in the ISM through synchrotron polarization statistics
Parth Pavaskar, Ka Ho Yuen, Huirong Yan, Sunil Malik

TL;DR
This paper develops and tests a numerical method to identify different MHD turbulence modes in the interstellar medium using synchrotron polarization statistics, aiding understanding of cosmic processes.
Contribution
It introduces a revised SPA method with a new classification criterion and asymmetry parameter for distinguishing MHD modes from synchrotron polarization data.
Findings
Successfully identifies Alfvén, slow, and fast modes in simulations.
The method is robust against Faraday rotation effects.
Provides a practical recipe for observational mode classification.
Abstract
One of the biggest challenges in understanding Magnetohydrodynamic (MHD) turbulence is identifying the plasma mode components from observational data. Previous studies on synchrotron polarization from the interstellar medium (ISM) suggest that the dominant MHD modes can be identified via statistics of Stokes parameters, which would be crucial for studying various ISM processes such as the scattering and acceleration of cosmic rays, star formation, dynamo. In this paper, we present a numerical study of the Synchrotron Polarization Analysis (SPA) method through systematic investigation of the statistical properties of the Stokes parameters. We derive the theoretical basis for our method from the fundamental statistics of MHD turbulence, recognizing that the projection of the MHD modes allows us to identify the modes dominating the energy fraction from synchrotron observations. Based on…
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