Gravitational Wave Open Science Center

Tutorials

Each tutorial will lead you step-by-step through some common data analysis tasks. While GWOSC 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 tutorial setup page for help installing software to run these tutorials.

Tutorials shown here are not used to produce published results. For gravitational-wave software analysis packages that are used to produce LSC and Virgo Collaboration publications, see software page.

Gravitational Wave Open Data Workshop Web Course (2019)

Lecture videos and tutorials from 2019 workshop

Course Material

Gravitational Wave Open Data Workshop Web Course (2018)

Lecture videos and tutorials from 2018 workshop

Course Material

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

Quickview Notebook

Make summary plots for a short segment of strain data.

Run: Google Colab | mybinder

Download: github

Guide to LIGO-Virgo detector 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

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Plot GW150914 data [Now superseded by the BBH Event tutorial]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