This notebook reproduces key plots in the data guide paper (https://arxiv.org/abs/1908.11170) in python. The demo focuses on gravitational wave event GW150914, and covers issues such as windowing and Fourier transforms, power spectral estimation, maximizing the likelihood for numerical relativity templates and exploring correlations in the data and residuals. For code used to produce published figures, see https://github.com/gw-odw/Data-Guide-Paper. This demo is inspired and built on top of https://github.com/losc-tutorial/Data_Guide. We would like to extend credits to the original implementation. We use the https://jupyterbook.org/ to build the executable notebooks.
The main idea behind this demo is to showcase the use of PyTorch Tensors with SciPy modules. This is possible with NEP 47 or Array API.
Please use this SciPy branch for this demo.
First build the jupyter book html files using the following command. This will execute all the markdown and ipynb files and create a _build/html dir with the website built.
jupyter-book build .Branch gh-pages holds the deployed website. To update the deployment, use ghp-import. Inside the repo, run the following to update the deployed website with the current build.
ghp-import -n -p -f _build/html
For more information, please refer to https://jupyterbook.org/start/your-first-book.html.
Work done during the development of this demo was generously supported by Quansight Labs.