Software for Open Data Workshop 2018
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intro intro Mar 23, 2018
parameter_estimation pe: use lalsuite pypi package for lal May 30, 2018
pycbc inverse spectrum truncation in tutorial 4 as well Mar 28, 2018
skymaps Adding subject directories Mar 9, 2018
.gitignore Have git ignore .ipynb_checkpoints Mar 12, 2018

LSC Open Data Workshop #1: Hands-on excercises

Material to support the first LSC Open Data Workshop, March 25-27, 2018

Software setup

Suggestions for accessing the required software are available in the setup directory

Hands-on Session Program

Day 1

Suggested tutorials:

intro - Introductory tutorials 1 and 2 provide an introduction to data access and resources on the Open Science Center web site.

gwpy - gwpy tutorials 1, 2, and 3 introduce the gwpy software pacakge. This includes a variety of tools for discovering, reading, writing, and plotting gravitational wave data.


  • Discover, download, and read data
  • FFTs, PSDs, and whitening
  • Working with segments lists and Timelines
  • Plot spectrograms to identify glitches, signals, and hardware injections

Day 2

Suggested tutorials:

pycbc - pycbc tutorials 1, 2, 3, and 4 provide an introduction to the pycbc software package. This analysis package is designed to analyze gravitational-wave data, identify CBC signals and estimate their parameters.

skymaps - Skymap tutorials 1, 2, and 3 introduce how to read in and use sky localization probability maps to help identify the likely source locations of observed signals.

parameter_estimation - Parameter estimation tutorials introduce how Bayesian inference is used to fit model waveforms to the data.

intro - Introductory tutorial 3 provides an introduction to using matched filtering to identify CBC signals


  • GW signals from compact object mergers
  • Matched filtering to identify compact object mergers
  • Working with compact object merger parameters and waveforms
  • Working with skymaps to identify likely source locations

Day 3:

Suggested Tutorials:

  • Complete tutorials from days 1 and 2


  • Parameter estimation
  • Explore CBC workflows
  • Collaborate on individual research projects
  • Begin work on "more to explore" advanced excercises