This notebook goes through the basics of data acquisition, pre-processing, matched filtering and signal consistency tests using PyCBC.
This notebook uses bilby/PyCBC to demonstrate GW parameter inference for real observed data as well as simulated GW data from compact binary mergers.
This notebook demonstrate the use of machine learning for robust simulation-based inference of gravitational wave data detailing simulation, training and inference using peregrine.