311 citations · 552 across the 6 of their papers we have counts for
6 papers · 1 filter
Results of the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC)
R. Hložek, K. A. Ponder, A. I. Malz +19
Next-generation surveys like the Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate orders of magnitude more discoveries of transients and variab…
Unsupervised machine learning for transient discovery in Deeper, Wider, Faster light curves
Sara Webb, Michelle Lochner, Daniel Muthukrishna +7
Identification of anomalous light curves within time-domain surveys is often challenging. In addition, with the growing number of wide-field surveys and the volume of data produced…
RAPID: Early Classification of Explosive Transients using Deep Learning
Daniel Muthukrishna, Gautham Narayan, Kaisey S. Mandel +2
We present RAPID (Real-time Automated Photometric IDentification), a novel time-series classification tool capable of automatically identifying transients from within a day of the…
4MOST: Project overview and information for the First Call for Proposals
R. S. de Jong, O. Agertz, A. Agudo Berbel +335
We introduce the 4-metre Multi-Object Spectroscopic Telescope (4MOST), a new high-multiplex, wide-field spectroscopic survey facility under development for the four-metre-class Vis…
DASH: Deep Learning for the Automated Spectral Classification of Supernovae and their Hosts
Daniel Muthukrishna, David Parkinson, Brad Tucker
We present DASH (Deep Automated Supernova and Host classifier), a novel software package that automates the classification of the type, age, redshift, and host galaxy of supernova…
Multi-Messenger Astrophysics: Harnessing the Data Revolution
Gabrielle Allen, Warren Anderson, Erik Blaufuss +27
The past year has witnessed discovery of the first identified counterparts to a gravitational wave transient (GW 170817A) and a very high-energy neutrino (IceCube-170922A). These s…