Gravitational Wave Open Science Center

Learning Path

Teachers & Students

Objectives

Step 1: Watch Introductory Video (1)

7 Minutes

  • How are gravitational waves created?
  • How are gravitational waves measured?

Footnote: Construction of the KAGRA detector in Japan has been completed since the production of this video.

Step 2: Watch Introductory Video (2)

6 Minutes

  • How can a gravitational-wave signal be used to measure the mass and distance of its source?

Step 3: Waveform Fitter

5 Minutes

  1. Use the sliders to adjust the model waveform
  2. What happens when you increase the total mass?
  3. What happens when you increase the distance?
  4. Find a model that fits the data from GW150914
  5. Compare your answer with published parameters.
    Note: You can add (Mass 1 + Mass 2) to find the Total Mass
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Step 4: Sources and Signals

50 Minutes

  1. Learn about wave sources and signals from music to gravitational waves
  2. Calculate the size of a black hole using its gravitational wave frequency
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Step 5: Signal Processing Tutorial

30 Minutes

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Step 6: GW Data Quickview App

15 Minutes

  1. Try plotting data from different events and glitches
  2. Which events are easy to see, and which are harder?
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Step 7: Classroom Activities

Open Ended

  1. Teachers: See More To Explore for a list of classroom activities and resources.

Learning Path

Researchers

Step 1: Browse the Event Portal

10 Minutes

  1. Browse events in the Event Portal
  2. You may want to start with the GWTC transient catalog
  3. Click on any event name to view details and download data
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Step 2: Quickview Tutorial

15 Minutes

  1. Launch the Jupyter Notebook
  2. Learn to download, filter, and plot gravitational wave data
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Step 3: Find large data sets

10 Minutes

  1. Visit the data page
  2. Follow the links to the O2 data set, and query for data files

Step 5: Complete an Open Data Workshop

Up to 20 hours

  1. Visit the GW Open Data Workshops page
  2. Select the most recent workshop
  3. Watch the lecture videos and complete the sotware tutorials for a course in GW data analysis