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...

Full description

Bibliographic Details

Published in:	Monthly notices of the Royal Astronomical Society Vol. 494; no. 3; pp. 3750 - 3765
Main Authors:	Cheng, Ting-Yun, Li, Nan, Conselice, Christopher J, Aragón-Salamanca, Alfonso, Dye, Simon, Metcalf, Robert B
Format:	Journal Article
Language:	English
Published:	Oxford University Press 21.05.2020
Subjects:	techniques: image processing methods: statistical gravitational lensing: strong
ISSN:	0035-8711, 1365-2966
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!