Using Sparse Priors to Study Cosmic Magnetic Fields

Machine Learning · 01 Oct 2020
Keywords: Python, Convex Optimization, Bayesian Analysis,

Repository: Building and Road Segmentation

I built a python package that leverages signal processing (e.g., Non-Uniform FFT and Wavelets) and sparsity to probe magnetic fields in the Milky Way and the Universe.

The results are applied in two published studies:

Removing non-physical structure in fitted Faraday rotated signals: non-parametric QU-fitting, PASA, L. Pratley and M. Johnston-Hollitt, and B. M. Gaensler, 2021
Wide-band Rotation Measure Synthesis, ApJ, L. Pratley, M. Johnston-Hollitt, 2020