Tutorials

Each tutorial will lead you step-by-step through some common data analysis tasks. While GW data can be analyzed using libraries in many software languages (C, C++, Matlab, etc.), most of these tutorials use Python. See also the software page for more examples.

See the setup page for setup instructions.

For help, contact us.

Tutorials shown here are not used to produce results published by the LSC and Virgo collaboration.

Learning Path

A gentle introduction to GW data
Try a learning path

Quickview Notebook

Discover, read, and plot gravitational wave data
Run: Google Colab | mybinder
Download: github

Guide to GW detections and noise

Code from "A guide to LIGO-Virgo detector noise and extraction of transient gravitational wave signals"
Code used to produce paper: github
Jupyter notebook to illustrate methods used to produce key figures: github | Google Colab | mybinder

Gravitational Wave Open Data Workshops

An online course in gravitational wave data analysis
GW Open Data Workshops

Introduction to GWOSC Data Files

[Run: workspace]

Working with Data

[Run: workspace]

See the structure of an HDF5 file

Binary Black Hole Events

[Run: mybinder]

Use matched filtering to find signals hidden in noise

GitHub Repo with full tutorial and files.

Searching for astrophysical sources

Downloading Strain Files

LIGO and Virgo Collaboration Members

Get data on the LIGO Scientific Collaboration Data Grid: Quickstart | Tutorial