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GPRHBA - A Hierachical Bayesian code for population inference with Gaussian Process

Disclaimer: dataCompress.py is a module taken from https://github.com/stevertaylor/gw_catalog_mining, please follow instruction on their repository to give credit to their work correctly.

Installation

To install this code, run python setup.py install --user in the root directory.

Examples

There are two scripts in the script folder,*GPRtutorial.py* and HierarchicalMain.py. The GPRtutorial.py serves as a quick example to the Gaussian process part of the code run the following command to check if the Gaussian process part of the code is functioning correctly:

python GPRtutorial.py --SimFile ../data/pretrack_binned_time_uniform_Mc_z_design.npz

HierarchicalMain.py is a more comprehensive code which run the entire inference pipeline. Run the following command to run a test run of the inference:

python HierarchicalMain.py --PosteriorFile ../data/injection_sigma_100_N100.npz --SimulationFile ../data/pretrack_binned_time_uniform_Mc_z_design.npz --OutputDirectory ./

gprhba's People

Contributors

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