29 citations · 107 across the 8 of their papers we have counts for
5 papers · 1 filter
Estimating Photometric Redshift from Mock Flux for CSST Survey by using Weighted Random Forest
Junhao Lu, Zhijian Luo, Zhu Chen +10
Accurate estimation of photometric redshifts (photo-) is crucial in studies of both galaxy evolution and cosmology using current and future large sky surveys. In this study, we…
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…
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…
Spectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS)
Xingchen Zhou, Yan Gong, Xian-Min Meng +6
The estimation of spectroscopic and photometric redshifts (spec-z and photo-z) is crucial for future cosmological surveys. It can directly affect several powerful measurements of t…
Star Formation Properties in Barred Galaxies(SFB). I. Ultraviolet-to-Infrared Imaging and Spectroscopic Studies of NGC 7479
Zhi-Min Zhou, Chen Cao, Xian-Min Meng +1
Large-scale bars and minor mergers are important drivers for the secular evolution of galaxies. Based on ground-based optical images and spectra as well as ultraviolet data from th…