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20232026
most citedAccurately Estimating Redshifts from CSST Slitless Spectroscopic Survey using Deep Learning

6 citations · 10 across the 17 of their papers we have counts for

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7 papers · 1 filter

astro-ph.CO2024

Cosmological Prediction of the Void and Galaxy Clustering Measurements in the CSST Spectroscopic Survey

Yingxiao Song, Qi Xiong, Yan Gong +10

The void power spectrum is related to the clustering of low-density regions in the large-scale structure (LSS) of the Universe, and can be used as an effective cosmological probe t…

astro-ph.CO2024

Forecasting Constraint on the Theory with the CSST SN Ia and BAO Surveys

Jun-Hui Yan, Yan Gong, Minglin Wang +2

The modified gravity theory can explain the accelerating expansion of the late Universe without introducing dark energy. In this study, we predict the constraint strength on…

astro-ph.CO2024★ 6 cited

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…

astro-ph.CO2024★ 3 cited

Reionization Parameter Inference from 3D Minkowski Functionals of the 21 cm Signals

Kangning Diao, Zhaoting Chen, Xuelei Chen +1

The Minkowski Functionals (MFs), a set of topological summary statistics, have emerged as a powerful tool for extracting non-Gaussian information. We investigate the prospect of co…

astro-ph.CO2024

Velocity acoustic oscillations on Cosmic Dawn 21 cm power spectrum as a probe of small-scale density fluctuations

Xin Zhang, Hengjie Lin, Meng Zhang +4

We investigate the feasibility of using the velocity acoustic oscillations (VAO) features on the Cosmic Dawn 21 cm power spectrum to probe small-scale density fluctuations. In the…

astro-ph.CO2024

Cosmological Forecast of the Void Size Function Measurement from the CSST Spectroscopic Survey

Yingxiao Song, Qi Xiong, Yan Gong +11

Void size function (VSF) contains information of the cosmic large-scale structure (LSS), and can be used to derive the properties of dark energy and dark matter. We predict the VSF…

astro-ph.CO2024

Cosmological Prediction of the CSST Ultra Deep Field Type Ia Supernova Photometric Survey

Minglin Wang, Yan Gong, Furen Deng +3

Type Ia supernova (SN Ia) as a standard candle is an ideal tool to measure cosmic distance and expansion history of the Universe. Here we investigate the SN Ia photometric measurem…