Python package for conveniently plotting results from pulsar timing array bayesian analyses.
Project description
La Forge
Pulsar Timing Array Bayesian Data Visualization
Graphic Credit: Stewart Vernon, via Deviant Art
Python package for conveniently plotting results from pulsar timing array bayesian analyses. Many of the functions are best used with enterprise outputs.
La Forge is available on PyPI:
pip install la-forgeFree software: MIT license
Documentation: https://la-forge.readthedocs.io.
Features
Sweep up Bayesian analysis MCMC chains along with sampling info.
Allow easy retrieval of various samples from chains.
Support for saving chains as HDF5 files.
Call chains with parameter names.
Plot posteriors easily.
Reconstruct Gaussian process realizations using posterior chains.
Plot red noise power spectral density.
Separate consituent models of a hypermodel analysis.
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
1.1.0 (2023-10-22) Adds Bayes factor calculations.
1.0.2 (2022-07-19) Fixes a delimiter bug for pulling in priors.txt.
1.0.1 (2021-10-21) Fixes a bug that did not allow parameter dictionary I/O in HyperModelCores
1.0.0 (2021-10-18) Capabilities to save as HDF5 files. Added full documentation and filled out the testing suite.
0.4.0 (2021-09-24) Added CI testing suite and cleaned up functions.
0.3.0 (2020-10-28) New docs.
0.2.0 (2020-02-13) Cleaned up various functionality and added more docs.
0.1.0 (2018-09-21)*
First release on PyPI.
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