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20212026
most citedSpectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS)

29 citations · 125 across the 26 of their papers we have counts for

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5 papers · 1 filter

astro-ph.GA2026

Quantifying Environmental Effects on Galaxy Properties using Non-spherical Voids Identified from SDSS DR7

Yingxiao Song, Xiaohu Yang, Yan Gong +4

Cosmic voids provide a distinct low-density region for studying the environmental effects of galaxy properties. Using the SDSS DR7 catalog, we identify non-spherical voids via Voro…

astro-ph.GA2026

Cross-Comparison of Galaxies Detected in the CSST Spectroscopic Survey and the SKA HI Survey

Yingfeng Liu, Furen Deng, Wenxiang Pei +8

We present a forward-modeling framework to forecast the galaxies detected in the Chinese Space Station Survey Telescope (CSST) spectroscopic survey and the Square Kilometre Array (…

astro-ph.GA2026

BayeSED-GALAXIES II. Bayesian full spectrum analysis of galaxies and application in the CSST wide-field slitless spectroscopy survey

Yunkun Han, Xian Zhong Zheng, Xiaohu Yang +21

The China Space Station Telescope (CSST) will conduct wide-field multiband photometric imaging and slitless spectroscopic surveys, advancing cosmology and galaxy evolution studies.…

astro-ph.GA2024★ 7 cited

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…

astro-ph.GA2024

Photometric Redshift Estimation for CSST Survey with LSTM Neural Networks

Zhijian Luo, Yicheng Li, Junhao Lu +11

Accurate estimation of photometric redshifts (photo-s) is crucial for cosmological surveys. Various methods have been developed for this purpose, such as template fitting method…