Interactively exploring and visualizing data on the sky with Jupyter and pywwt
2020-11-08, 12:45–14:45, Times in UTC

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.

Theme – Science Platforms and Data Lakes, Cross-Discipline Projects, Data Interoperability, Open Source Software and Community Development in Astronomy