output
20042026
most citedPlanck 2015 results. XIII. Cosmological parameters

10.6k citations

Showing 2018 · astro-ph.IMShow all

6 papers · 2 filters

astro-ph.IM2018★ 16 cited

Classification of Multiwavelength Transients with Machine Learning

K. Sooknunan, M. Lochner, Bruce A. Bassett +7

With the advent of powerful telescopes such as the Square Kilometer Array and the Vera C. Rubin Observatory, we are entering an era of multiwavelength transient astronomy that will…

astro-ph.IM2018★ 93 cited

First Cosmology Results Using Type Ia Supernovae From the Dark Energy Survey: Photometric Pipeline and Light Curve Data Release

D. Brout, M. Sako, D. Scolnic +89

We present griz light curves of 251 Type Ia Supernovae (SNe Ia) from the first 3 years of the Dark Energy Survey Supernova Program's (DES-SN) spectroscopically classified sample. T…

astro-ph.IM2018★ 25 cited

The Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC): Selection of a performance metric for classification probabilities balancing diverse science goals

A. I. Malz, R. Hložek, T. Allam +22

Classification of transient and variable light curves is an essential step in using astronomical observations to develop an understanding of their underlying physical processes. Ho…

astro-ph.IM2018★ 53 cited

DeepSource: Point Source Detection using Deep Learning

A. Vafaei Sadr, Etienne. E. Vos, Bruce A. Bassett +3

Point source detection at low signal-to-noise is challenging for astronomical surveys, particularly in radio interferometry images where the noise is correlated. Machine learning i…

astro-ph.IM2018★ 9 cited

Radio Galaxy Shape Measurement with Hamiltonian Monte Carlo in the Visibility Domain

M. Rivi, M. Lochner, S. T. Balan +2

Radio weak lensing, while a highly promising complementary probe to optical weak lensing, will require incredible precision in the measurement of galaxy shape parameters. In this p…

astro-ph.IM2018★ 97 cited

Machine Learning-based Brokers for Real-time Classification of the LSST Alert Stream

Gautham Narayan, Tayeb Zaidi, Monika D. Soraisam +20

The unprecedented volume and rate of transient events that will be discovered by the Large Synoptic Survey Telescope (LSST) demands that the astronomical community update its follo…