天美影视传媒

The 天美影视传媒 and Carnegie Mellon University have announced an expansive, multiyear collaboration to create new software platforms to analyze large astronomical datasets generated by the upcoming , or 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 鈥� known as LINCC 鈥� and will fundamentally change how scientists use modern computational methods to make sense of big data.

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 鈥� and up to 10 petabytes each year for 10 years 鈥� and will build detailed composite images of the southern sky. Over its expected decade of observations, astrophysicists estimate the Department of Energy鈥檚 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鈥檚 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鈥檚 murky early years and its ultimate fate, among other things.

鈥淭ools that utilize the power of cloud computing will allow any researcher to search and analyze data at the scale of the LSST, not just speeding up the rate at which we make discoveries but changing the scientific questions that we can ask,鈥� said , a UW professor of astronomy, director of the and former director of the Institute 鈥� commonly known as the DiRAC Institute.

The Rubin Observatory will produce an unprecedented data set through the LSST. To take advantage of this opportunity, the LSST Corporation created the LSST Interdisciplinary Network for Collaboration and Computing, whose launch was announced Aug. 9 at the Rubin Observatory Project & Community Workshop. One of LINCC鈥檚 primary goals is to create new and improved analysis infrastructure that can accommodate the data鈥檚 scale and complexity that will result in meaningful and useful pipelines of discovery for LSST data.

鈥淢any of the LSST鈥檚 science objectives share common traits and computational challenges. If we develop our algorithms and analysis frameworks with forethought, we can use them to enable many of the survey鈥檚 core science objectives,鈥� said , professor of physics and member of the at Carnegie Mellon.

Connolly and Mandelbaum will co-lead the project, which will consist of programmers and scientists based at the UW and Carnegie Mellon, who will create platforms using professional software engineering practices and tools. Specifically, they will create a 鈥渃loud-first鈥� system that also supports high-performance computing systems in partnership with the , a joint effort of Carnegie Mellon and the University of Pittsburgh, and the National Science Foundation鈥檚 . The LSST Corporation will run programs to engage the LSST Science Collaborations and broader science community in the design, testing and use of the new tools.

The LINCC analysis platforms are supported by , a philanthropic initiative founded by Eric and Wendy Schmidt that 鈥渂ets early on exceptional people making the world better.鈥� This project is part of Schmidt Futures鈥� work in astrophysics, which aims to accelerate our knowledge about the universe by supporting the development of software and hardware platforms to facilitate research across the field of astronomy.

鈥淢any years ago, the Schmidt family provided one of the first grants to advance the original design of the Vera C. Rubin Observatory. We believe this telescope is one of the most important and eagerly awaited instruments in astrophysics in this decade. By developing platforms to analyze the astronomical datasets captured by the LSST, Carnegie Mellon University and the 天美影视传媒 are transforming what is possible in the field of astronomy,鈥� said Stuart Feldman, chief scientist at Schmidt Futures.鈥淭he software funded by this gift will magnify the scientific return on the public investment by the National Science Foundation and the Department of Energy to build and operate Rubin Observatory鈥檚 revolutionary telescope, camera and data systems,鈥� said Adam Bolton, director of the Community Science and Data Center at NSF鈥檚 NOIRLab. The center will collaborate with LINCC scientists and engineers to make the LINCC framework accessible to the broader astronomical community.

Through this new project, new algorithms and processing pipelines developed at LINCC will be able to be used across fields within astrophysics and cosmology to sift through false signals, filter out noise in the data and flag potentially important objects for follow-up observations. The tools developed by LINCC will support a 鈥渃ensus of our solar system鈥� that will chart the courses of asteroids; help researchers to understand how the universe changes with time; and build a 3D view of the universe鈥檚 history.

“Our goal is to maximize the scientific output and societal impact of Rubin LSST, and these analysis tools will go a huge way toward doing just that,鈥� said Jeno Sokoloski, director for science at the LSST Corporation. 鈥淭hey will be freely available to all researchers, students, teachers and members of the general public.”

Northwestern University and the University of Arizona, in addition to the UW and Carnegie Mellon, are hub sites for LINCC. The University of Pittsburgh will partner with the Carnegie Mellon hub.