sgvb-psd 0.0.2

A python package for estimating the power spectral density (PSD) of correlated multivariate detector noise using variational inference (VI).

SGVB PSD Estimator

This repository contains the code for the paper "Fast PSD estimation for correlated multivariate detector noise using VI" by Jianan Liu at al. 2024

Documentation is available at https://nz-gravity.github.io/sgvb_psd/

Development

Install in editable mode with dev dependencies

pip install -e ".[dev]"
pre-commit install

Ensure unit tests are passing locally and on the CI!

pytest tests/

Releasing to PyPI

1. Manually change the version number in pyproject.toml (has to be higher than previous)
2. Create a tagged commit with the version number
3. Push the tag to GitHub

git tag -a v0.1.0 -m "v0.1.0"
git push origin v0.1.0