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Tutorials and examples on how to use the PyCBC core library to analyze gravitational-wave data.

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PyCBC: Python Software to Study Gravitational Waves

PyCBC is software developed by a collaboration of LIGO, Virgo, and independent scientists. It is open source and freely available. We use PyCBC in the detection of gravitational waves from binary mergers such as GW150914. These examples explore how to analyze gravitational wave data, how we find potential signals, and learn about them.

These notebooks are available to view, download, or run in interactive sessions.

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Gravitational-wave Data Analysis

Tutorial 1: Accessing Gravitational-wave data Open Tutorial 1

Tutorial 2: Data visualization and basic signal processing Open Tutorial 2

Tutorial 3: Matched filtering to identify signals Open Tutorial 3

Tutorial 4: Signal Consistency and Basis Significance Testing Open Tutorial 4

Gravitational-wave Inference

Tutorial 1: Models (likelihood function you are trying to sample + priors) and Samplers by Hand Open Tutorial 1

Some things that you may learn

  • How to access LIGO data
  • How to do some basic signal processing
  • Data visualization of LIGO data in time-frequency plots
  • Matched filtering to extract a known signal

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