AAS WorldWide Telescope: Seamless, Cross-Platform Data Visualization Engine for Astronomy Research, Education, and Democratizing Data
Philip Rosenfield (1), Jonathan Fay (1), Ronald K Gilchrist (1),, Chenzhou Cui (2), A. David Weigel (3), Thomas Robitaille (4), Oderah Justin, Otor (1), and Alyssa Goodman (5) ((1) American Astronomical Society, (2), National Astronomical Observatories
TL;DR
The paper discusses the WWT platform's capabilities for seamless, cross-platform visualization of astronomical data, supporting research, education, and public outreach across various settings.
Contribution
It presents the WWT ecosystem's features, usage, and future directions, highlighting its role in democratizing access to astronomical data and visualization tools.
Findings
WWT enables sharing of large astronomical datasets across platforms
It is widely used in research, education, and public outreach
Future developments aim to expand its capabilities and accessibility
Abstract
The American Astronomical Society's WorldWide Telescope (WWT) project enables terabytes of astronomical images, data, and stories to be viewed and shared among researchers, exhibited in science museums, projected into full-dome immersive planetariums and virtual reality headsets, and taught in classrooms from middle school to college levels. We review the WWT ecosystem, how WWT has been used in the astronomical community, and comment on future directions.
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