Astronomy is experiencing a rapid growth in data size and complexity. This change fosters
the development of data-driven science as a useful companion to the common model-driven …

The detection of the accelerated expansion of the Universe has been one of the major
breakthroughs in modern cosmology. Several cosmological probes (Cosmic Microwave …

Abstract The Zwicky Transient Facility (ZTF), a public–private enterprise, is a new time-
domain survey employing a dedicated camera on the Palomar 48-inch Schmidt telescope …

We introduce SuperNNova, an open-source supernova photometric classification framework
that leverages recent advances in deep neural networks. Our core algorithm is a recurrent …

Abstract We present Real-time Automated Photometric IDentification (RAPID), a novel time
series classification tool capable of automatically identifying transients from within a day of …

We use Bayesian convolutional neural networks and a novel generative model of Galaxy
Zoo volunteer responses to infer posteriors for the visual morphology of galaxies. Bayesian …

Upcoming astronomical surveys such as the Large Synoptic Survey Telescope (LSST) will
rely on photometric classification to identify the majority of the transients and variables that …

ABSTRACT fink is a broker designed to enable science with large time-domain alert streams
such as the one from the upcoming Vera C. Rubin Observatory Legacy Survey of Space and …

We describe the simulated data sample for the Photometric Large Synoptic Survey
Telescope (LSST) Astronomical Time Series Classification Challenge (PLAsTiCC), a …

Abstract The Zwicky Transient Facility is a large optical survey in multiple filters producing
hundreds of thousands of transient alerts per night. We describe here various machine …