Gaussian Process Modelling for Improved Resolution in Faraday Depth Reconstruction

1 code implementation • 18 Jan 2021 • S. W. Ndiritu, A. M. M. Scaife, D. L. Tabb, M. Carcamo, J. Hanson

In addition to providing non-parametric model estimates for missing values, we also demonstrate that Gaussian process modelling can be used for recovering rotation measure values directly from complex polarization data, and that inferring missing polarization data using this probabilistic method improves the resolution of reconstructed Faraday depth spectra.

Gaussian Processes Instrumentation and Methods for Astrophysics Astrophysics of Galaxies