AAS WorldWide Telescope: Seamless, Cross-Platform Data Visualization Engine for Astronomy Research, Education, and Democratizing Data

Philip Rosenfield; Jonathan Fay; Ronald K Gilchrist; Chenzhou Cui; A. David Weigel; Thomas Robitaille; Oderah Justin Otor; Alyssa Goodman

doi:10.3847/1538-4365/aab776

AAS WorldWide Telescope: Seamless, Cross-Platform Data Visualization Engine for Astronomy Research, Education, and Democratizing Data

Instrumentation and Methods for Astrophysics 2018-05-23 v1

Authors: Philip Rosenfield , Jonathan Fay , Ronald K Gilchrist , Chenzhou Cui , A. David Weigel , Thomas Robitaille , Oderah Justin Otor , Alyssa Goodman

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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.

Keywords

virtual observatory astronomy education and policy space missions and telescopes

Cite

@article{arxiv.1801.09119,
  title  = {AAS WorldWide Telescope: Seamless, Cross-Platform Data Visualization Engine for Astronomy Research, Education, and Democratizing Data},
  author = {Philip Rosenfield and Jonathan Fay and Ronald K Gilchrist and Chenzhou Cui and A. David Weigel and Thomas Robitaille and Oderah Justin Otor and Alyssa Goodman},
  journal= {arXiv preprint arXiv:1801.09119},
  year   = {2018}
}

Comments

24 pages, 8 figures, accepted for publication in ApJS

AAS WorldWide Telescope: Seamless, Cross-Platform Data Visualization Engine for Astronomy Research, Education, and Democratizing Data

Abstract

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