Teachers & StudentsObjectives
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 Fitter5 Minutes
- Use the sliders to adjust the model waveform
- What happens when you increase the total mass?
- What happens when you increase the distance?
- Find a model that fits the data from GW150914
- Compare your answer with
Note: You can add (Mass 1 + Mass 2) to find the Total Mass
Step 4: Sources and Signals50 Minutes
- Learn about wave sources and signals from music to gravitational waves
- Calculate the size of a black hole using its gravitational wave frequency
Step 5: Signal Processing Tutorial30 Minutes
- The Signal Processing Tutorial introduces using filters to find signals.
- Find a secret sound hidden in noisy data.
Step 6: GW Data Quickview App15 Minutes
- Try plotting data from different events and glitches
- Which events are easy to see, and which are harder?
Step 7: Classroom ActivitiesOpen Ended
- Teachers: See More To Explore for a list of classroom activities and resources.
Step 1: Browse the Event Portal10 Minutes
- Browse events in the Event Portal
- You may want to start with the GWTC transient catalog
- Click on any event name to view details and download data
Step 2: Quickview Tutorial15 Minutes
- Launch the Jupyter Notebook
- Learn to download, filter, and plot gravitational wave data
Step 4: Suggested papers2 hours
- Read Observation of Gravitational Waves from a Binary Black Hole Merger
- Read A guide to LIGO–Virgo detector noise and extraction of transient gravitational-wave signals
Step 5: Complete an Open Data WorkshopUp to 20 hours
- Visit the GW Open Data Workshops page
- Select the most recent workshop
- Watch the lecture videos and complete the sotware tutorials for a course in GW data analysis