Identifying strong lenses with unsupervised machine learning using convolutional autoencoder

ABSTRACT In this paper, we develop a new unsupervised machine learning technique comprised of a feature extractor, a convolutional autoencoder, and a clustering algorithm consisting of a Bayesian Gaussian mixture model. We apply this technique to visual band space-based simulated imaging data from t...

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Vydané v:	Monthly notices of the Royal Astronomical Society Ročník 494; číslo 3; s. 3750 - 3765
Hlavní autori:	Cheng, Ting-Yun, Li, Nan, Conselice, Christopher J, Aragón-Salamanca, Alfonso, Dye, Simon, Metcalf, Robert B
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford University Press 21.05.2020
Predmet:	techniques: image processing methods: statistical gravitational lensing: strong
ISSN:	0035-8711, 1365-2966
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