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@gw-gallery

GW Gallery

GW Gallery

I (Tom Callister) give a lot of talks about gravitational-wave astronomy. In the course of giving a lot of talks, I end up designing a lot of figures, animations, and demonstrations that (I hope) effectively illustrate gravitational-wave data, principles of data analysis, and/or the relevant astrophysical principles. My goal is to share some of these here (both figures/animations themselves and the code with which they're produced) so that others can make use of them as well.

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  1. cbc-landscape cbc-landscape Public

    Diagrams illustrating the currently-observed catalog of binary mergers, with and without uncertainties.

    Jupyter Notebook

  2. changing-waveform changing-waveform Public

    Animations illustrated effect of different binary masses and distances on observed GW signal

    Jupyter Notebook 1

  3. hierarchical-inference-demo hierarchical-inference-demo Public

    Animations illustrating the problem of hierarchical inference, and right and wrong approaches to reconstructing a population.

    Jupyter Notebook 3 1

  4. mass-vs-redshift-pollock-plot mass-vs-redshift-pollock-plot Public

    Plots illustrating measured black hole masses and redshifts, and emphasizing why uncertainties and selection effects make population studies hard!

    Jupyter Notebook

  5. q-vs-chi-effective-pollock-plot q-vs-chi-effective-pollock-plot Public

    Measured black hole mass ratios and spins, with and without uncertainties. Despite their severe uncertainties, these quantities are known to be anticorrelated, illustrating a surprising conclusion …

    Jupyter Notebook

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