The zwicky transient facility: science objectives
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 …
domain survey employing a dedicated camera on the Palomar 48-inch Schmidt telescope …
Machine learning in astronomy: A practical overview
D Baron - arxiv preprint arxiv:1904.07248, 2019 - arxiv.org
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 development of data-driven science as a useful companion to the common model-driven …
Duality between (2+ 1) d quantum critical points
Duality refers to two equivalent descriptions of the same theory from different points of view.
Recently there has been tremendous progress in formulating and understanding possible …
Recently there has been tremendous progress in formulating and understanding possible …
SuperNNova: an open-source framework for Bayesian, neural network-based supernova classification
We introduce SuperNNova, an open-source supernova photometric classification framework
that leverages recent advances in deep neural networks. Our core algorithm is a recurrent …
that leverages recent advances in deep neural networks. Our core algorithm is a recurrent …
RAPID: early classification of explosive transients using deep learning
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 …
series classification tool capable of automatically identifying transients from within a day of …
Avocado: Photometric classification of astronomical transients with gaussian process augmentation
K Boone - The Astronomical Journal, 2019 - iopscience.iop.org
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 …
rely on photometric classification to identify the majority of the transients and variables that …
Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning
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 …
Zoo volunteer responses to infer posteriors for the visual morphology of galaxies. Bayesian …
fink, a new generation of broker for the LSST community
A Möller, J Peloton, EEO Ishida… - Monthly Notices of …, 2021 - academic.oup.com
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 …
such as the one from the upcoming Vera C. Rubin Observatory Legacy Survey of Space and …
Models and simulations for the photometric LSST astronomical time series classification challenge (PLAsTiCC)
We describe the simulated data sample for the Photometric Large Synoptic Survey
Telescope (LSST) Astronomical Time Series Classification Challenge (PLAsTiCC), a …
Telescope (LSST) Astronomical Time Series Classification Challenge (PLAsTiCC), a …
Machine learning for the zwicky transient facility
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 …
hundreds of thousands of transient alerts per night. We describe here various machine …