Using machine learning to auto-tune chi-squared tests for gravitational wave searches

This page contains links to the relevant codes used in the work “Using machine learning to auto-tune chi-squared tests for gravitational wave searches”.

Code

This repo contains the code used to perform the preprocessing of the data and the training of the model.

This code and the search with the model included use a modified version of the PyCBC code found in this fork

Results

The trained model used in the paper can be found in this file. To load the model use the function load_transformation.

Contact

Have any questions? E-mail me at connor.mcisaac@port.ac.uk