visualization

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.

Our perceptual limits in reading and interpreting visualizations (Arzu Çöltekin, Zurich)

Our perceptual limits in reading and interpreting visualizations (Arzu Çöltekin, Zurich)

August 18, 2014

Visualizations help us in interpreting and communicating complex concepts and rich data. However, we have a number of perceptual and cognitive limitations that counter-intuitively work against us when we work with visualizations. These limitations lead to critical mistakes, e.g., in interpreting patterns or simply reading information from a graphic. What are these culprits and how can we avoid them?

Seamless Colloquium: Our perceptual limits in reading and interpreting visualizations

Aug 18, 2:00pm

Location: 

Phillips Auditorium

Abstract: Visualizations help us in interpreting and communicating complex concepts and rich data. However, we have a number of perceptual and cognitive limitations that counter-intuitively work against us when we work with visualizations. These limitations lead to critical mistakes, e.g., in interpreting patterns or simply reading information from a graphic. What are these culprits and how can we avoid them?

Linking Visualization & Understanding in Astronomy (Alyssa Goodman, Harvard)

Linking Visualization & Understanding in Astronomy (Alyssa Goodman, Harvard)

February 10, 2014

In 1610, when Galileo pointed his small telescope at Jupiter, he drew sketches to record what he saw. After just a few nights of observing, he understood his sketches to be showing moons orbiting Jupiter. It was the visualization of Galileo’s observations that led to his understanding of a clearly Sun-centered solar system, and to the revolution this understanding then caused.

Concerning Astrophotography (Vicent Peris, Valencia)

Concerning Astrophotography (Vicent Peris, Valencia)

June 26, 2014

In this talk, Vicent Peris reviewed his works in the astrophotography and image processing disciplines. Working as astrophotographer at the Astronomical Observatory of the University of Valencia, he leads an astrophotography project at Calar Alto Observatory in southern Spain. This is the first astrophotography project in the world with access to the observational time of professional telescopes (about 50 night per year). Along with this project, he is also co-founder of the Documentary School of Astrophotography, the first school of thought in the astrophotography discipline.

Seamless Colloquium: Linking Visualization & Understanding in Astronomy

Sorry, the event is fullFeb 10, 2:00pm

Location: 

Phillips Auditorium, Harvard-Smithsonian Center for Astrophysics, 60 Garden Street

In 1610, when Galileo pointed his small telescope at Jupiter, he drew sketches to record what he saw. After just a few nights of observing, he understood his sketches to be showing moons orbiting Jupiter. It was the visualization of Galileo’s observations that led to his understanding of a clearly Sun-centered solar system, and to the revolution this understanding then caused.

Goodman AA. Principles of High-Dimensional Data Visualization in Astronomy. Astronomische Nachrichten [Internet]. 2012;333(5-6):505-514. Astrobites commentary on this articleAbstract
sets, though, interactive exploratory data visualization can give far more insight than an approach where data processing and statistical analysis are followed, rather than accompanied, by visualization. This paper attempts to charts a course toward “linked view” systems, where multiple views of high-dimensional data sets update live as a researcher selects, highlights, or otherwise manipulates, one of several open views. For example, imagine a researcher looking at a 3D volume visualization of simulated or observed data, and simultaneously viewing statistical displays of the data set’s properties (such as an x-y plot of temperature vs. velocity, or a histogram of vorticities). Then, imagine that when the researcher selects an interesting group of points in any one of these displays, that the same points become a highlighted subset in all other open displays. Selections can be graphical or algorithmic, and they can be combined, and saved. For tabular (ASCII) data, this kind of analysis has long been possible, even though it has been under-used in Astronomy. The bigger issue for Astronomy and several other “high-dimensional” fields is the need systems that allow full integration of images and data cubes within a linked-view environment. The paper concludes its history and analysis of the present situation with suggestions that look toward cooperatively-developed open-source modular software as a way to create an evolving, flexible, high-dimensional, linked-view visualization environment useful in astrophysical research.