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Found 2 papers, 2 papers with code
Gaussian Process Modelling for Improved Resolution in Faraday Depth Reconstruction
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
Identifying galaxies, quasars and stars with machine learning: a new catalogue of classifications for 111 million SDSS sources without spectra
We use 2. 4\, million spectroscopically labelled sources from the SDSS catalogue to train an optimized random forest classifier using photometry from the Sloan Digital Sky Survey (SDSS) and Widefield Infrared Survey Explorer (WISE).
Astrophysics of Galaxies
