SGVB PSD#
A python package for estimating the power spectral density (PSD) of correlated multivariate detector noise using variational inference (VI).
Installation#
pip install sgvb_psd
Usage#
Paper#
The paper for SGVB PSD can be found here. Code to generate the plots for the paper are available here
Acknowledging SGVB PSD#
If you use this SGVB PSD code in your research, please cite the following papers:
@article{Liu2024,
title={Variational Inference for Correlated Gravitational Wave Detector Network Noise},
author={Jianan Liu and Avi Vajpeyi and Renate Meyer and Kamiel Janssens and Jeung Eun Lee and Patricio Maturana-Russel and Nelson Christensen and Yixuan Liu},
year={2024},
journal={arXiv preprint},
volume={2409.13224},
archivePrefix={arXiv},
primaryClass={gr-qc},
url={https://arxiv.org/abs/2409.13224}
}
@article{Hu2023,
title = {Fast Bayesian inference on spectral analysis of multivariate stationary time series},
author = {Zhixiong Hu and Raquel Prado},
year = 2023,
journal = {Computational Statistics \& Data Analysis},
volume = 178,
pages = 107596,
doi = {https://doi.org/10.1016/j.csda.2022.107596},
issn = {0167-9473},
url = {https://www.sciencedirect.com/science/article/pii/S0167947322001761}
}