DEFROST: Detecting Excess in Faraday Rotation thrOugh Sophisticated analysis Techniques
Valentina Vacca, Sebastian Hutschenreuter, Andrea Cabriolu, Torsten A. Ensslin, Jakob Roth, Martin Reineke, Philipp Frank, Federica Govoni, Matteo Murgia, Gianni Fenu

TL;DR
This paper introduces DEFROST, an advanced algorithm for disentangling Galactic and extragalactic Faraday rotation effects in radio polarization data, improving magnetic field characterization in the universe.
Contribution
The work presents a new algorithm that simultaneously separates Galactic and extragalactic Faraday effects, accounting for observational noise and auxiliary data like redshift.
Findings
The algorithm performs well with synthetic data across various noise levels and source densities.
Reliable extragalactic magnetic field parameters can be inferred for sources at high Galactic latitudes (>45°).
The method achieves parameter inference within 5 sigma for typical noise levels (~1-10 rad/m^2).
Abstract
Understanding origin and evolution of cosmological magnetic fields requires knowledge of magnetic fields in different extragalactic environments. In this context, a powerful tool is the statistical analysis of the Faraday effect on the linear polarization of a sample of radio sources. This effect carries information about the magnetic fields in our Galaxy, extragalactic environments between the sources and the observer, and within the emitting radio source itself. An accurate disentangling of all these components is crucial to characterize magnetic fields in the LSS of the Universe. The significant amount of data delivered by new radio instruments enables the investigation of increasingly weak magnetic fields. However, a trustworthy characterization is only possible with advanced analysis techniques. In this work, we present a new algorithm capable of simultaneously disentangling the…
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