Gravitational Wave Open Science Center

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, attend GWOSC office hours.

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

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

Binary Black Hole Events

Use matched filtering to find signals hidden in noise.

Run: Azure | mybinder (Beta)

View: GW150914 | LVT151012 | GW151226 | GW170104

Download: file with data | Jupyter notebook | Python script

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]

LSC software stack and frame reading software
See the structure of an HDF5 file
Plot GW150914 data [Now superseded by the BBH Event tutorial]
- HTML| Zip file with data

Searching for astrophysical sources

Automated Downloads

LIGO and Virgo Collaboration Members

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