Carnegie Mellon University and the University of Washington have announced an expansive, multi-year collaboration to create new software platforms to analyze large astronomical datasets generated by the upcoming Legacy Survey of Space and Time (LSST), which will be carried out by the Vera C. Rubin Observatory in northern Chile. The open-source platforms are part of the new LSST Interdisciplinary Network for Collaboration and Computing (LINCC) and will fundamentally change how scientists use modern computational methods to make sense of big data.
The announcement of Carnegie Mellon's leadership in the project comes as the university embarks on an innovative future of science initiative. The initiative, unveiled earlier this year, will revolutionize science by leveraging the university's strengths and ingenuity to bring together the foundational sciences with artificial intelligence, robotics, engineering and data analytics.
Through the LSST, the Rubin Observatory, a joint initiative of the National Science Foundation and the Department of Energy, will collect and process more than 20 terabytes of data each night — and up to 10 petabytes each year for 10 years — and will build detailed composite images of the southern sky. Over its expected decade of observations, astrophysicists estimate the Department of Energy's LSST Camera will detect and capture images of an estimated 30 billion stars, galaxies, stellar clusters and asteroids. Each point in the sky will be visited around 1,000 times over the survey's 10 years, providing researchers with valuable time series data.
Scientists plan to use this data to address fundamental questions about our universe, such as the formation of our solar system, the course of near-Earth asteroids, the birth and death of stars, the nature of dark matter and dark energy, the universe's murky early years and its ultimate fate, among other things.
