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Abstract:
Vera C. Rubin Observatory will open a new era for optical astronomy by imaging the Southern Sky at unprecedented depths. I will introduce Fink, which will process Rubin’s millions transient detections every night. Fink not only processes immense datasets in real-time, but selects the most promising candidates for a breadth of science using machine learning and multi-wavelength and messenger survey data. \n To make a leap to this new era, I will review the contributions of machine learning classification for transient science and cosmology in the Dark Energy Survey. I will then present results from Fink’s processing of the Zwicky Transient Survey, as a precursor of Rubin. These results include selection methods and analyses of supernovae, kilonovae and satellite glints. I will conclude with the potential of connecting Rubin’s data with other observing facilities for multi-wavelength and messenger astronomy and our current efforts with Australian facilities.
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