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DenseLens - Using DenseNet ensembles and information criteria for finding and rank-ordering strong gravitational lenses

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Published in 2023 at "Monthly Notices of the Royal Astronomical Society"

DOI: 10.1093/mnras/stad1623

Abstract: Convolutional Neural Networks (CNNs) are the state-of-the-art technique for identifying strong gravitational lenses. Although they are highly successful in recovering genuine lens systems with a high true-positive rate, the unbalanced nature of the data set… read more here.

Keywords: strong gravitational; gravitational lenses; false positive; positive rates ... See more keywords