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

• API Documentation

• Simulated data Example

• ET Example

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}
}