Peter K. G. Williams
I’m the Innovation Scientist of the Center for Astrophysics and the American Astronomical Society. I’m also Director of the AAS WorldWide Telescope project. My astrophysical research focuses on the magnetism of other stars and planets, large surveys, and the techniques of radio interferometry.
Interactively exploring and visualizing data on the sky with Jupyter and pywwt
Astronomers routinely work with images of the sky or tables of celestial objects. In this tutorial, participants will learn how to explore such data sets interactively, and in their astronomical context, inside Jupyter notebooks. The key enabling technology is pywwt, a module that allows researchers to embed the AAS WorldWide Telescope (WWT) visualization engine in Python applications and Jupyter notebooks, providing a sophisticated “ds9-like” experience inside the notebook that can be controlled through code as well as manually. Hands-on activities will stitch this Python module together with other elements of the Python ecosystem for working with astronomical data such as astroquery. Participants will learn how to explore their sky-based data sets using a modern suite of software tools.