91 citations · 308 across the 31 of their papers we have counts for
17 papers · 1 filter
Reducing False Positives in Strong-Lens Searches with Generalized-Mean Consensus of Machine-Learning Ensembles in the Kilo-Degree Survey
Ziqi Li, Rui Li, Xu Huang +11
Context. In wide-field surveys, the main challenge is not just classifier sensitivity, but the overwhelming number of false positives. Searching for strong lenses among millions to…
Morphology classification for galaxies in the Kilo Degree Survey using a label-efficient self-supervised learning framework
Xu Huang, Rui Li, Liang Gao +14
Galaxy morphology classification is fundamental to understanding galaxy formation and evolution. The advent of large-scale sky surveys has produced an unprecedented volume of galax…
LenNet: Direct Detection and Localization of Strong Gravitational Lenses in Wide-Field Sky Survey Images
Pufan Liu, Hui Li, Ziqi Li +9
Strong gravitational lenses are invaluable tools for addressing fundamental questions in astrophysics, from the nature of dark matter to the expansion of the universe. While curren…
Detection of a dark matter subhalo in the strongly lensed system PJ011646
Aristeidis Amvrosiadis, James W. Nightingale, Qiuhan He +12
We present a strong lensing analysis of the system PJ011646 using high-resolution (0.1 arcsec) Atacama Large Millimeter/submillimeter Array (ALMA) dust-continuum observations…
The "Little Dark Dot": Evidence for Self-interacting Dark Matter in the Strong Lens SDSS J0946+1006?
Shubo Li, Ran Li, Kaihao Wang +13
Previous studies, based on precise modeling of a gravitationally lensing image, have identified what may be an extremely compact, dark perturber in the well-known lensing system SD…
Pixel-level modelling of group-scale strong lens CASSOWARY 19
Hengkai Ding, Yiping Shu, Yun Chen +6
We present the first high-precision model for the group-scale strong lensing system CASSOWARY 19 (CSWA19), utilising images from the Hubble Space Telescope (HST). Sixteen member ga…