43 citations · 127 across the 8 of their papers we have counts for
8 papers
Estimating Photometric Redshifts for Galaxies from the DESI Legacy Imaging Surveys with Bayesian Neural Networks Trained by DESI EDR
Xingchen Zhou, Nan Li, Hu Zou +6
We present a catalogue of photometric redshifts for galaxies from DESI Legacy Imaging Surveys, which includes billion sources covering 14,000 . The photomet…
Using Convolutional Neural Networks to Search for Strongly Lensed Quasars in KiDS DR5
Zizhao He, Rui Li, Yiping Shu +13
Gravitationally strongly lensed quasars (SL-QSO) offer invaluable insights into cosmological and astrophysical phenomena. With the data from ongoing and next-generation surveys, th…
The most distant HI galaxies discovered by the 500 m dish FAST
Hongwei Xi, Bo Peng, Lister Staveley-Smith +20
Neutral hydrogen (HI) is the primary component of the cool interstellar medium (ISM) and is the reservoir of fuel for star formation. Owing to the sensitivity of existing radio tel…
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…
The Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST) Quasar Survey: Quasar Properties from Data Release Six to Nine
Jun-Jie Jin, Xue-Bing Wu, Yuming Fu +10
We report the fourth installment in the series of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) Quasar Survey, which includes quasars observed between Sept…
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…
Identification of new M31 star cluster candidates from PAndAS images using convolutional neural networks
Shoucheng Wang, Bingqiu Chen, Jun Ma +7
Context.Identification of new star cluster candidates in M31 is fundamental for the study of the M31 stellar cluster system. The machine-learning method convolutional neural networ…
Deep Learning for Strong Lensing Search: Tests of the Convolutional Neural Networks and New Candidates from KiDS DR3
Zizhao He, Xinzhong Er, Qian Long +6
Convolutional Neutral Networks have been successfully applied in searching for strong lensing systems, leading to discoveries of new candidates from large surveys. On the other han…