bayes_pol

bayes_pol implements spectroscopic polarization models for radio astronomy. The FaradayModel predicts Stokes Q, U, and Faraday depth spectra assuming a Gaussian decomposition in Faraday depth space. This is a work in progress.

bayes_pol is written in the bayes_spec Bayesian modeling framework, which provides methods to fit these models to data using numerical techniques such as Monte Carlo Markov Chain (MCMC).

Useful information can be found in the bayes_pol Github repository, the bayes_spec Github repository, and in the tutorials below.

Installation

conda create --name bayes_pol -c conda-forge pymc>=5.20 pip
conda activate bayes_pol
pip install bayes_pol

Tutorials:

• FaradayModel Tutorial
  • Simulating Data
  • Model Definition
  • Variational Inference
  • Posterior Sampling: MCMC

API:

• bayes_pol
  • bayes_pol