192 citations · 1.1k across the 32 of their papers we have counts for
32 papers
Discovering strongly lensed quasar candidates with catalogue-based methods from DESI Legacy Surveys
Zizhao He, Nan Li, Xiaoyue Cao +3
The Hubble tension, revealed by a discrepancy between measurements of the Hubble-Lemaitre constant from early- and local-Universe observations, is one of the most signifi…
Unsupervised Galaxy Morphological Visual Representation with Deep Contrastive Learning
Shoulin Wei, Yadi Li, Wei Lu +4
Galaxy morphology reflects structural properties which contribute to understand the formation and evolution of galaxies. Deep convolutional networks have proven to be very successf…
Detection of Strongly Lensed Arcs in Galaxy Clusters with Transformers
Peng Jia, Ruiqi Sun, Nan Li +4
Strong lensing in galaxy clusters probes properties of dense cores of dark matter halos in mass, studies the distant universe at flux levels and spatial resolutions otherwise unava…
The Quasar Candidates Catalogs of DESI Legacy Imaging Survey Data Release 9
Zizhao He, Nan Li
Quasars can be used to measure baryon acoustic oscillations at high redshift, which are considered as direct tracers of the most distant large-scale structures in the Universe. It…
Classifying Galaxy Morphologies with Few-Shot Learning
Zhirui Zhang, Zhiqiang Zou, Nan Li +1
The taxonomy of galaxy morphology is critical in astrophysics as the morphological properties are powerful tracers of galaxy evolution. With the upcoming Large-scale Imaging Survey…
Strong lens modelling: comparing and combining Bayesian neural networks and parametric profile fitting
James Pearson, Jacob Maresca, Nan Li +1
The vast quantity of strong galaxy-galaxy gravitational lenses expected by future large-scale surveys necessitates the development of automated methods to efficiently model their m…