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20152026
most citedPhotometric Supernova Classification With Machine Learning

197 citations · 1.3k across the 38 of their papers we have counts for

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Showing 2021Show all

9 papers · 1 filter

cs.LG2021

Real-time Detection of Anomalies in Multivariate Time Series of Astronomical Data

Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner +2

Astronomical transients are stellar objects that become temporarily brighter on various timescales and have led to some of the most significant discoveries in cosmology and astrono…

astro-ph.GA2021★ 130 cited

The MeerKAT Galaxy Cluster Legacy Survey I. Survey Overview and Highlights

K. Knowles, W. D. Cotton, L. Rudnick +148

MeerKAT's large number of antennas, spanning 8 km with a densely packed 1 km core, create a powerful instrument for wide-area surveys, with high sensitivity over a wide range of an…

astro-ph.IM2021★ 25 cited

Real-Time Detection of Anomalies in Large-Scale Transient Surveys

Daniel Muthukrishna, Kaisey S. Mandel, Michelle Lochner +2

New time-domain surveys, such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), will observe millions of transient alerts each night, making standard approac…

astro-ph.GA2021★ 64 cited

Practical Galaxy Morphology Tools from Deep Supervised Representation Learning

Mike Walmsley, Anna M. M. Scaife, Chris Lintott +9

Astronomers have typically set out to solve supervised machine learning problems by creating their own representations from scratch. We show that deep learning models trained to an…

astro-ph.IM2021★ 145 cited

Optimization of the Observing Cadence for the Rubin Observatory Legacy Survey of Space and Time: a pioneering process of community-focused experimental design

Federica B. Bianco, Željko Ivezić, R. Lynne Jones +43

Vera C. Rubin Observatory is a ground-based astronomical facility under construction, a joint project of the National Science Foundation and the U.S. Department of Energy, designed…

astro-ph.IM2021★ 2 cited

Considerations for optimizing photometric classification of supernovae from the Rubin Observatory

Catarina S. Alves, Hiranya V. Peiris, Michelle Lochner +3

The Vera C. Rubin Observatory will increase the number of observed supernovae (SNe) by an order of magnitude; however, it is impossible to spectroscopically confirm the class for a…