Data from the world's largest digital sky survey is being publicly released today by the Space Telescope Science Institute (STScI) in Baltimore, Maryland, in conjunction with the University of Hawaii Institute for Astronomy in Honolulu, Hawaii. Data from the Pan-STARRS1 Surveys will allow anyone to access millions of images and use the database and catalogs containing precision measurements of billions of stars and galaxies. The four years of data comprise 3 billion separate sources, including stars, galaxies, and various other objects. The immense collection contains 2 petabytes of data, which is equivalent to one billion selfies, or one hundred times the total content of Wikipedia.
The Space Telescope Science Institute (STScI) in Baltimore, Maryland, in conjunction with the University of Hawaii Institute for Astronomy in Honolulu, Hawaii, is publicly releasing data today from Pan-STARRS — the Panoramic Survey Telescope & Rapid Response System — the world's largest digital sky survey.
"The Pan-STARRS1 Surveys allow anyone to access millions of images and use the database and catalogs containing precision measurements of billions of stars and galaxies," said Dr. Ken Chambers, Director of the Pan-STARRS Observatories. "Pan-STARRS has made discoveries from Near Earth Objects and Kuiper Belt Objects in the Solar System to lonely planets between the stars; it has mapped the dust in three dimensions in our galaxy and found new streams of stars; and it has found new kinds of exploding stars and distant quasars in the early universe."
"With this release we anticipate that scientists — as well as students and even casual users — around the world will make many new discoveries about the universe from the wealth of data collected by Pan-STARRS," Chambers added.
The four years of data comprise 3 billion separate sources, including stars, galaxies, and various other objects. The immense collection contains 2 petabytes of data, which is equivalent to one billion selfies, or one hundred times the total content of Wikipedia.
The first Panoramic Survey Telescope & Rapid Response System (Pan-STARRS) observatory is a 1.8-meter telescope at the summit of Haleakalā, on Maui. In May 2010, it embarked on a digital sky survey of the sky in visible and near-infrared light. This was the first survey to observe the entire sky visible from Hawaii multiple times in many colors of light. One of the survey's goals was to identify moving, transient, and variable objects, including asteroids that could potentially threaten the Earth. The survey took approximately four years to complete, and scanned the sky 12 times in each of five filters.
This research program was undertaken by the PS1 Science Consortium — a collaboration among 10 research institutions in four countries with support from NASA and the National Science Foundation (NSF). Consortium observations for the sky survey, mapping everything visible from Hawaii, were completed in April 2014. This data is now being released publicly.
"It's great to see the Pan-STARRS1 data release supported by the NSF now made available to the general astronomical community," said Nigel Sharp, Program Director in NSF's Astronomical Sciences division. "I am impressed by the work the team invested to make the best-calibrated and best-characterized data set they could. I eagerly anticipate the science from mining these data."
"The cooperation between STScI and the Pan-STARRS team at the University of Hawaii has been essential to ensuring that this initial data release is successful," explained Dr. Marc Postman, Head of the Community Missions office at STScI, and liaison between STScI and the PS1 Consortium. "STScI was a natural partner to host the Pan-STARRS public archive given its extensive experience serving astronomy data to the international community. In advance of the release of the Pan-STARRS data, STScI staff helped perform checks of data quality, helped write archive user documentation, tested and installed the local data storage and database query system, and designed, built and deployed the web-based user interfaces to the archive system."
The roll-out is being done in two stages. Today's release is the "Static Sky," which is the average of each of those individual epochs. For every object, there's an average value for its position, its brightness, and its colors. In 2017, the second set of data will be released, providing a catalog that gives the information and images for each individual epoch.
The Space Telescope Science Institute provides the storage hardware, the computers that handle the database queries, and the user-friendly interfaces to access the data.
The survey data resides in the Mikulski Archive for Space Telescopes (MAST), which serves as NASA's repository for all of its optical and ultraviolet-light observations, some of which date to the early 1970s. It includes all of the observational data from such space astrophysics missions as Hubble, Kepler, GALEX, and a wide variety of other telescopes, as well as several all-sky surveys. Pan-STARRS marks the nineteenth mission to be archived in MAST.
STScI staff members who helped prepare for the Pan-STARRS1 data release are Francesca Boffi, Annalisa Calamida, Stefano Casertano, Vera Gibbs, Romeo Gourgue, Mike Jackson, Tony Keyes, Anton Koekemoer, Dave Liska, Knox Long, Greg Masci, Brian McLean, Prem Mishra, Anthony Obaika, Marc Postman, Armin Rest, Bernie Shiao, Dave Soderblom, Patrick Taylor, Jeff Valenti, and Rick White.
The Pan-STARRS1 Surveys and its science archive have been made possible through contributions by the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, the Queen's University Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, and the National Aeronautics and Space Administration under Grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation Grant No. AST-1238877, the University of Maryland, Eotvos Lorand University (ELTE), the Los Alamos National Laboratory, and the Gordon and Betty Moore Foundation.