29 citations · 125 across the 26 of their papers we have counts for
27 papers
CSST large-scale structure analysis pipeline: IV. Cosmic Voids Identified from Galaxy Group Samples as Probes of the Large-scale Structure
Yingxiao Song, Xiaohu Yang, Yan Gong +16
Because groups are directly associated with halos, they allow for considerably simpler theoretical modeling than approaches based on individual galaxies. We therefore propose to us…
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…
Lyman- forest constraints on pure and mixed fuzzy dark matter
Jianxiang Liu, Yan Gong, Xingchen Zhou
Fuzzy dark matter (FDM), often realized as an ultralight scalar field, can suppress the growth of small-scale structures and could be strictly tested with Lyman- forest measurem…
Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey
Xingchen Zhou, Yan Gong, Xin Zhang +4
Wide-field slitless spectroscopic galaxy surveys, such as the one performed by the upcoming Chinese Space Station Survey Telescope (CSST), are crucial for precision cosmology but p…
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 (…
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.…
AI Agent for Source Finding by SoFiA-2 for SKA-SDC2
Xingchen Zhou, Nan Li, Peng Jia +7
Source extraction is crucial in analyzing data from next-generation, large-scale sky surveys in radio bands, such as the Square Kilometre Array (SKA). Several source extraction pro…
Exploring Cosmological Constraints of the Void-Lensing Cross-Correlation in the CSST Photometric Survey
Qi Xiong, Yan Gong, Junhui Yan +8
We investigate the cosmological constraints from the void-lensing cross-correlation assuming the CDM model for the Chinese Space Station Survey Telescope (CSST) photometric surv…
Photo- Estimation with Normalizing Flow
Yiming Ren, Kwan Chuen Chan, Le Zhang +6
Accurate photometric redshift (photo-) estimation is a key challenge in cosmology, as uncertainties in photo- directly limit the scientific return of large-scale structure an…
Cosmological Prediction from the joint observation of MeerKAT and CSST at = 0.4 1.2
Yu-Er Jiang, Yan Gong, Qi Xiong +10
Cross-correlating neutral hydrogen (HI) 21cm intensity mapping with galaxy surveys provides an effective probe of astrophysical and cosmological information. This work presents a c…
GalaxyGenius: Mock galaxy image generator for various telescopes from hydrodynamical simulations
Xingchen Zhou, Hang Yang, Nan Li +11
We introduce GalaxyGenius, a Python package designed to produce synthetic galaxy images tailored to different telescopes based on hydrodynamical simulations. Its implementation wil…
Improving Photometric Redshift Estimation for CSST Mock Catalog Using SED Templates Calibrated with Perturbation Algorithm
Yicheng Li, Liping Fu, Zhu Chen +11
Photometric redshifts of galaxies obtained by multi-wavelength data are widely used in photometric surveys because of its high efficiency. Although various methods have been develo…
Cosmological distance forecasts for the CSST Galaxy Survey using BAO peaks
Feng Shi, Jieyi Tian, Zhejie Ding +21
The measurement of cosmological distances using baryon acoustic oscillations (BAO) is crucial for studying the universe's expansion. The Chinese Space Station Telescope (CSST) gala…
Future Cosmology: New Physics and Opportunity from the China Space Station Telescope (CSST)
Yan Gong, Haitao Miao, Xingchen Zhou +12
The China Space Station Telescope (CSST) is the next-generation Stage~IV survey telescope. It can simultaneously perform multi-band imaging and slitless spectroscopic wide- and dee…
Cosmological Constraints using the Void Size Function Data from BOSS DR16
Yingxiao Song, Yan Gong, Xingchen Zhou +3
We measure the void size function (VSF) from the Baryon Oscillation Spectroscopic Survey (BOSS DR16) and perform the cosmological constraints. The BOSS DR16 galaxy sample is select…
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…
MUltiplexed Survey Telescope (MUST) Science White Paper I: Overview of Large-Scale Structure Cosmology in the Era of Stage-V Spectroscopic Surveys
Cheng Zhao, Song Huang, Mengfan He +41
The MUltiplexed Survey Telescope (MUST) is a 6.5-meter telescope under development. Dedicated to highly-multiplexed, wide-field spectroscopic surveys, MUST observes over 20,000 tar…
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…
Exploring cosmological constraints of the weak gravitational lensing and galaxy clustering joint analysis in the CSST photometric survey
Qi Xiong, Yan Gong, Xingchen Zhou +10
We explore the joint weak lensing and galaxy clustering analysis from the photometric survey operated by the China Space Station Telescope (CSST), and study the strength of the cos…
Accurately Estimating Redshifts from CSST Slitless Spectroscopic Survey using Deep Learning
Xingchen Zhou, Yan Gong, Xin Zhang +10
Chinese Space Station Telescope (CSST) has the capability to conduct slitless spectroscopic survey simultaneously with photometric survey. The spectroscopic survey will measure sli…
Imputation of Missing Photometric Data and Photometric Redshift Estimation for CSST
Zhijian Luo, Zhirui Tang, Zhu Chen +10
Accurate photometric redshift (photo-) estimation requires support from multi-band observational data. However, in the actual process of astronomical observations and data proce…
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…
Cross-Correlation Forecast of CSST Spectroscopic Galaxy and MeerKAT Neutral Hydrogen Intensity Mapping Surveys
Yuer Jiang, Yan Gong, Meng Zhang +6
Cross-correlating the data of neutral hydrogen (HI) 21cm intensity mapping with galaxy surveys is an effective method to extract astrophysical and cosmological information. In this…
Foreground Removal of CO Intensity Mapping Using Deep Learning
Xingchen Zhou, Yan Gong, Furen Deng +3
Line intensity mapping (LIM) is a promising probe to study star formation, the large-scale structure of the Universe, and the epoch of reionization (EoR). Since carbon monoxide (CO…