WorldWide Telescope

WorldWide Telescope is a "Universe Information System" created by Microsoft Research that our group helps to develop and deploy.  In the Seamless Astronomy program, we use WWT as an excellent all-sky, smoothly zoom-able data visualizer, as well as a key link to full VAO functionality.

Seamless Colloquium: Hackable User Interfaces and The Future of Data Analysis in Astronomy

Sep 16, 1:30pm


Phillips Auditorium, 60 Garden Street, Cambridge, MA 02138

Abstract:  The tools we use to investigate data affect the way that we do science -- we are constantly (if subtly) drawn towards questions that are easily answered by our analytical and software tools, and comparatively discouraged from research directions that are less-well matched to these tools. A crucial skill that most scientists learn early in their careers is how to identify the most fruitful scientific questions, given the current state of analysis techniques.


"Astrobetter is intended for professional astronomers. The goal of AstroBetter is to provide information and tips about streamlining all the things we need to do Astronomy well."

Goodman A, Fay J, Muench A, Pepe A, Udomprasert P, Wong C.

WorldWide Telescope in Research and Education

. In: Egret D, Gabriel C ADASS XXI. San Francisco: Astronomical Society of the Pacific; 2012. pp. tba. Publisher's VersionAbstract
The WorldWide Telescope computer program, released to researchers and the public as a free resource in 2008 by Microsoft Research, has changed the way the ever-growing Universe of online astronomical data is viewed and understood. The WWT program can be thought of as a scriptable, interactive, richly visual browser of the multi-wavelength Sky as we see it from Earth, and of the Universe as we would travel within it. In its web API format, WWT is being used as a service to display professional research data. In its desktop format, WWT works in concert (thanks to SAMP and other IVOA standards) with more traditional research applications such as ds9, Aladin and TOPCAT. The WWT Ambassadors Program (founded in 2009) recruits and trains astrophysically-literate volunteers (including retirees) who use WWT as a teaching tool in online, classroom, and informal educational settings. Early quantitative studies of WWTA indicate that student experiences with WWT enhance science learning dramatically. Thanks to the wealth of data it can access, and the growing number of services to which it connects, WWT is now a key linking technology in the Seamless Astronomy environment we seek to o er researchers, teachers, and students alike.


The dendrogram algorithm identifies the hierarchical structure in 2- and 3-d image datasets. For more information on the algorithm, including documentation and software, please visit the follow link:

Documentation: (including github download instructions)