Astronomy, ASC Tech, collaborate to classify 412,000 variable stars

September 26, 2018

A new paper from the Department of Astronomy, in collaboration with ASC Technology Services, provides uniform classification of 412,000 known variable stars (brightness as seen from Earth fluctuates) in the All-Sky Automated Search for Supernovae (ASAS-SN) catalog of variable stars. Understandings of variable star types, statistics and properties were previously complicated due to data that was derived from a multitude of sources and classification tools. The ASAS-SN project, which launched in 2017, images the entire celestial sphere nightly to seek out the transient, variable and sometimes violent events that mark the evolution and transformation of our universe.