Time-Domain Science in the Rubin Era: Processing and Analyzing Astronomical Transients

Explore a comprehensive astronomy lecture detailing the groundbreaking capabilities of the Vera C. Rubin Observatory and its impact on optical astronomy through Southern Sky imaging. Learn about Fink, an advanced processing system designed to handle millions of nightly transient detections, incorporating machine learning and multi-wavelength survey data for optimal candidate selection. Discover the applications of machine learning classification in transient science and cosmology within the Dark Energy Survey, and examine Fink's current processing achievements with the Zwicky Transient Survey, including detection methods for supernovae, kilonovae, and satellite glints. Gain insights into the future of multi-wavelength and messenger astronomy through the integration of Rubin Observatory data with other observing facilities.