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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 2022Show all

5 papers · 1 filter

astro-ph.IM2022★ 9 cited

Impact of Rubin Observatory cadence choices on supernovae photometric classification

Catarina S. Alves, Hiranya V. Peiris, Michelle Lochner +2

The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will discover an unprecedented number of supernovae (SNe), making spectroscopic classification for all the ev…

astro-ph.CO2022★ 16 cited

Designing an Optimal LSST Deep Drilling Program for Cosmology with Type Ia Supernovae

Philippe Gris, Nicolas Regnault, Humna Awan +8

The Vera C. Rubin Observatory's Legacy Survey of Space and Time is forecast to collect a large sample of Type Ia supernovae (SNe Ia) that could be instrumental in unveiling the nat…

astro-ph.GA2022★ 12 cited

LADUMA: Discovery of a luminous OH megamaser at

Marcin Glowacki, Jordan D. Collier, Amir Kazemi-Moridani +65

In the local Universe, OH megamasers (OHMs) are detected almost exclusively in infrared-luminous galaxies, with a prevalence that increases with IR luminosity, suggesting that they…

astro-ph.CO2022★ 2 cited

Snowmass2021 Cosmic Frontier White Paper: Enabling Flagship Dark Energy Experiments to Reach their Full Potential

Jonathan A. Blazek, Doug Clowe, Thomas E. Collett +25

A new generation of powerful dark energy experiments will open new vistas for cosmology in the next decade. However, these projects cannot reach their utmost potential without data…

astro-ph.IM2022

A Hitchhiker's Guide to Anomaly Detection with Astronomaly

Michelle Lochner, Bruce A. Bassett

The next generation of telescopes such as the SKA and the Rubin Observatory will produce enormous data sets, requiring automated anomaly detection to enable scientific discovery. H…