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20112023
most citedSpectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS)

29 citations · 107 across the 8 of their papers we have counts for

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Showing astro-ph.COShow all

5 papers · 1 filter

astro-ph.CO2023★ 1 cited

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…

astro-ph.CO2022★ 20 cited

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…

astro-ph.CO2021★ 22 cited

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…

astro-ph.CO2021★ 29 cited

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…

astro-ph.CO2011★ 12 cited

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…