cogwheel.validation.inference

Functions to perform injections in reproducible Gaussian noise and do parameter estimation on them.

This code assumes that injection samples were already generated using the generate_injections.py module.

This module can run as a script and it also provides a function submit_slurm to submit the equivalent job to a SLURM scheduler.

Functions

get_rundir	Return pathlib.Path object with injection run directory.
main	Perform an injection in reproducible Gaussian noise and estimate its parameters.
make_corner_plot	Make a corner plot of the parameter estimation results and save it to rundir/CORNER_PLOT_FILENAME.
submit_slurm	Submit a job to SLURM that performs an injection in reproducible Gaussian noise and estimates its parameters.