We study the potential of the galaxy cluster sample expected from the China Space Station Telescope (CSST) survey to constrain dark energy properties. By modelling the distribution of observed cluster mass for a given true mass to be log-normal and adopting a selection threshold in the observed mass $M_{200m} \geq 0.836 \times 10^{14} h^{-1}M_{\odot}$, we find about $4.1 \times 10^{5}$ clusters in the redshift range $0 \leq z \leq 1.5$ can be detected by the CSST. We construct the Fisher matrix for the cluster number counts from CSST, and forecast constraints on dark energy parameters for models with constant ($w_0$CDM) and time dependent ($w_0w_a$CDM) equation of state. In the self-calibration scheme, the dark energy equation of state parameter $w_0$ of $w_0$CDM model can be constrained to $Δw_0 = 0.036$. If $w_a$ is added as a free parameter, we obtain $Δw_0 = 0.077$ and $Δw_a = 0.39$ for the $w_0w_a$CDM model, with a Figure of Merit for ($w_0,w_a$) to be 68.99. Should we had perfect knowledge of the observable-mass scaling relation (``known SR" scheme), we would obtain $Δw_0 = 0.012$ for $w_0$CDM model, $Δw_0 = 0.062$ and $Δw_a = 0.24$ for $w_0w_a$CDM model. The dark energy Figure of Merit of ($w_0,w_a$) increases to 343.25. By extending the maximum redshift of the clusters from $z_{max} \sim 1.5$ to $z_{max} \sim 2$, the dark energy Figure of Merit for ($w_0,w_a$) increases to 89.72 (self-calibration scheme) and 610.97 (``known SR" scheme), improved by a factor of $\sim 1.30$ and $\sim 1.78$, respectively. We find that the impact of clusters' redshift uncertainty on the dark energy constraints is negligible as long as the redshift error of clusters is smaller than 0.01, achievable by CSST. We also find that the bias in logarithm mass must be calibrated to be $0.30$ or better to avoid significant dark energy parameter bias.
Cosmological Prediction from the joint observation of MeerKAT and CSST at $z$ = 0.4 $\sim$ 1.2
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);School of Astronomy and Space Science, University of Chinese Academy of Sciences(UCAS)(中国科学院大学天文与空间科学学院);Department of Physics, Stellenbosch University(斯泰伦博斯大学物理系);Science Center for Chinese Space Station Survey Telescope, National Astronomical Observatories, Chinese Academy of Science(中国科学院国家天文台中国空间站巡天望远镜科学中心)
Mapping Dark Matter in Merging Clusters with Weak Lensing for CSST: Morphology and Filament Recovery
National Astronomical Observatories (NAOC), Chinese Academy of Sciences(中国科学院国家天文台);School of Astronomy and Space Science, University of Chinese Academy of Science(中国科学院大学天文与空间科学学院);School of Physics and Astronomy, Beijing Normal University(北京师范大学物理与天文学院);South-Western Institute for Astronomy Research (SWIFAR), Yunnan University(云南大学西南天文研究所);Yunnan Key Laboratory of Survey Science,Yunnan University(云南大学云南省测绘科学重点实验室);Shanghai Astronomical Observatory (SHAO)(中国科学院上海天文台);Key Laboratory of Radio Astronomy and Technology, Chinese Academy of Sciences(中国科学院射电天文与技术重点实验室)
Forecasting Constraint on Primordial Black Hole Properties with the CSST $3\times2$pt Analysis
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);School of Astronomy and Space Sciences, University of Chinese Academy of Sciences(中国科学院大学天文与空间科学学院);Science Center for Chinese Space Station Survey Telescope, National Astronomical Observatories, Chinese Academy of Science(中国科学院国家天文台中国空间站巡天望远镜科学中心)
Yangtze University(长江大学);National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);University of Chinese Academy of Sciences(中国科学院大学);Zhengzhou University(郑州大学);University of Portsmouth(朴茨茅斯大学);Beijing Normal University(北京师范大学);Sun Yat-Sen University(中山大学)
Forecasting the Constraint on the Hu-Sawicki $f(R)$ Modified Gravity in the CSST $3\times2$pt Photometric Survey
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);University of Chinese Academy of Sciences(中国科学院大学);Science Center for China Space Station Telescope, National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台中国空间站望远镜科学中心);Department of Physics, College of Sciences, Northeastern University(东北大学理学院物理系);Centre for High Energy Physics, Peking University(北京大学高能物理研究中心);State Key Laboratory of Radio Astronomy and Technology(射电天文与技术国家重点实验室)
Exploring Cosmological Constraints of the Void-Lensing Cross-Correlation in the CSST Photometric Survey
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);School of Astronomy and Space Sciences, University of Chinese Academy of Sciences(UCAS)(中国科学院大学天文与空间科学学院);Science Center for China Space Station Telescope, National Astronomical Observatories, Chinese Academy of Science(中国科学院国家天文台中国空间站望远镜科学中心)
Extracting redshifts from 2D slitless spectroscopic images using deep learning for the CSST galaxy survey
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);Science Center for China Space Station Telescope, National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台中国空间站望远镜科学中心);University of Chinese Academy of Sciences(中国科学院大学)
Synergy between CSST and third-generation gravitational-wave detectors: Inferring cosmological parameters using cross-correlation of dark sirens and galaxies
Northeastern University(东北大学);University of Western Australia(西澳大学);The University of Tokyo(东京大学);Hainan University(海南大学)
Predicting Primordial Non-Gaussianity Measurements in the CSST Spectroscopic Survey
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);School of Astronomy and Space Sciences, University of Chinese Academy of Sciences(中国科学院大学天文与空间科学学院);Science Center for CSST, National Astronomical Observatories, CAS(中国科学院国家天文台CSST科学中心);Department of Physics, College of Sciences, Northeastern University(东北大学理学院物理系);Centre for High Energy Physics, Peking University(北京大学高能物理中心);Institute for Frontiers in Astronomy and Astrophysics, Beijing Normal University(北京师范大学天文与前沿科学研究院)
Mock Observations for the CSST Mission: Main Surveys -- the Mock Catalogue
Purple Mountain Observatory, Chinese Academy of Sciences(中国科学院紫金山天文台);Hunan Normal University(湖南师范大学);National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);Zhejiang University(浙江大学);Zhejiang Laboratory(浙江实验室);Yunnan University(云南大学);Beijing Normal University(北京师范大学);Shanghai Astronomical Observatory, Chinese Academy of Sciences(中国科学院上海天文台);Anhui University(安徽大学)
Forecasting the E_G measurements from the photometric and spectroscopic surveys of Chinese Space Station Survey Telescope (CSST)
School of Physics and Astronomy, Sun Yat-sen University(中山大学物理学院);CSST Science Center for the Guangdong-Hong Kong-Macau Greater Bay Area, Sun Yat-sen University(中山大学粤港澳大湾区天文科学中心)
Exploring Joint Observation of the CSST Shear and clustering of astrophysical gravitational wave source measurements
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);School of Astronomy and Space Sciences, University of Chinese Academy of Sciences(UCAS)(中国科学院大学天文与空间科学学院)
CSST large-scale structure analysis pipeline: IV. Cosmic Voids Identified from Galaxy Group Samples as Probes of the Large-scale Structure
Shanghai Jiao Tong University(上海交通大学);National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);University of Chinese Academy of Sciences(UCAS)(中国科学院大学)
Cross-Comparison of Galaxies Detected in the CSST Spectroscopic Survey and the SKA HI Survey
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);University of Chinese Academy of Sciences(中国科学院大学);Shanghai Normal University(上海师范大学)
Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey
National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);University of Chinese Academy of Sciences(中国科学院大学);Science Center for China Space Station Telescope, National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台中国空间站望远镜科学中心);Center for High Energy Physics, Peking University(北京大学高能物理中心);Department of Physics, College of Sciences, Northeastern University(东北大学理学院物理系);State Key Laboratory of Radio Astronomy and Technology(射电天文与技术国家重点实验室)
The Effect of Slitless Spectroscopic Redshift Uncertainty and Interlopers on BAO Measurements from CSST-like Samples
Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences(中国科学院南京天文光学技术研究所);University of Chinese Academy of Sciences(中国科学院大学);Department of Astronomy, School of Physics and Astronomy, Shanghai Jiao Tong University(上海交通大学物理与天文学院天文学系);Key Laboratory for Particle Astrophysics and Cosmology (MOE)/Shanghai Key Laboratory for Particle Physics and Cosmology(粒子天体物理教育部重点实验室/上海粒子物理与宇宙学重点实验室);Tsung-Dao Lee Institute, Shanghai Jiao Tong University(上海交通大学李政道研究所)
BayeSED-GALAXIES II. Bayesian full spectrum analysis of galaxies and application in the CSST wide-field slitless spectroscopy survey
International Centre of Supernovae (ICESUN), Yunnan Key Laboratory of Supernova Research, Yunnan Observatories, Chinese Academy of Sciences (CAS)(中国科学院云南天文台);Center for Astronomical Mega-Science, Chinese Academy of Sciences(中国科学院国家天文台);Tsung-Dao Lee Institute and State Key Laboratory of Dark Matter Physics, Shanghai Jiao Tong University(上海交通大学李政道研究所);Department of Astronomy, School of Physics and Astronomy, Shanghai Jiao Tong University(上海交通大学物理与天文学院);National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台)