108 citations · 187 across the 5 of their papers we have counts for
5 papers
Photometric redshift estimates using Bayesian neural networks in the CSST survey
Xingchen Zhou, Yan Gong, Xian-Min Meng +5
Galaxy photometric redshift (photo-) is crucial in cosmological studies, such as weak gravitational lensing and galaxy angular clustering measurements. In this work, we try to e…
The 2175 Å~ Bump Features in FeLoBAL Quasars: One Indicator of MW-like Dust in the Nuclear Region of Quasar
Shaohua Zhang, Jian Ge, Tuo Ji +8
To investigate the properties of dust in the nuclear region of quasars, we explored the extinction curves of the iron low-ionization broad absorption line (FeLoBAL) quasar SDSS J16…
Extracting Photometric Redshift from Galaxy Flux and Image Data using Neural Networks in the CSST Survey
Xingchen Zhou, Yan Gong, Xian-Min Meng +6
The accuracy of galaxy photometric redshift (photo-) can significantly affect the analysis of weak gravitational lensing measurements, especially for future high-precision surve…
Quenching as a Contest between Galaxy Halos and their Central Black Holes
Zhu Chen, S. M. Faber, David. C. Koo +27
Existing models of galaxy formation have not yet explained striking correlations between structure and star-formation activity in galaxies, notably the sloped and moving boundaries…
A sample of galaxy pairs identified from the LAMOST spectral survey and the Sloan Digital Sky Survey
Shiyin Shen, M. Argudo-Fernández, Li Chen +23
A small fraction() of SDSS main sample galaxies(MGs) have not been targeted with spectroscopy due to the the fiber collision effect. These galaxies have been compiled into t…