Nov. 17, 2022

Understanding the universe with applied statistics (VIDEO)

Amanda Muyskens/LLNL

In a new video posted to the Lab’s YouTube channel, statistician Amanda Muyskens describes MuyGPs, her team’s innovative and computationally efficient Gaussian Process hyperparameter estimation method for large data. The method has been applied to space-based image classification and released for open-source use in the Python package MuyGPyS. MuyGPs will help astronomers and astrophysicists working with the massive amounts of data gathered from the Vera C. Rubin Observatory Legacy Survey of Space and Time (also known as LSST), as well as numerous other laboratory and science applications. Watch on YouTube (3:58).