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20222026
most citedWhat's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction

15 citations · 29 across the 4 of their papers we have counts for

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astro-ph.IM2022

Toward automated detection of light echoes in synoptic surveys: considerations on the application of the Deep Convolutional Neural Networks

Xiaolong Li, Federica B. Bianco, Gregory Dobler +7

Light Echoes (LEs) are the reflections of astrophysical transients off of interstellar dust. They are fascinating astronomical phenomena that enable studies of the scattering dust…

cs.CV2022★ 15 cited

What's the Difference? The potential for Convolutional Neural Networks for transient detection without template subtraction

Tatiana Acero-Cuellar, Federica Bianco, Gregory Dobler +3

We present a study of the potential for Convolutional Neural Networks (CNNs) to enable separation of astrophysical transients from image artifacts, a task known as "real-bogus" cla…