6 papers
MIU2Net: weak-lensing mass inversion using deep learning with nested U-structures
Han W. G., An Zhao, Xinyue Chen +5
One of the primary goals of next-generation gravitational lensing surveys is to measure the large-scale distribution of dark matter, which requires accurate mass inversion to conve…
CSST Cosmological Emulator III: Hybrid Lagrangian Bias Expansion Emulation of Galaxy Clustering
Shuren Zhou, Zhao Chen, Yu Yu
Galaxy clustering is an important probe in the upcoming China Space Station Telescope (CSST) survey to understand the structure growth and reveal the nature of the dark sector. How…
CSST Cosmological Emulator II: Generalized Accurate Halo Mass Function Emulation
Zhao Chen, Yu Yu
Accurate theoretical prediction for halo mass function across a broad cosmological space is crucial for the forthcoming China Space Station Telescope (CSST) observations, which wil…
A quadratic estimator view of the transfer function correction in intensity mapping surveys
Zhaoting Chen
In single dish neutral hydrogen (HI) intensity mapping, signal separation methods such as principal component analysis (PCA) are used to clean the astrophysical foregrounds. PCA in…
The Jiutian simulations for the CSST extra-galactic surveys
Jiaxin Han, Ming Li, Wenkang Jiang +23
We provide an overview of the Jiutian simulations, a hybrid simulation suite for the China Space Survey Telescope (CSST) extragalactic surveys. It consists of four complementary mo…
CSST Cosmological Emulator I: Matter Power Spectrum Emulation with one percent accuracy to k = 10 h/Mpc
Zhao Chen, Yu Yu, Jiaxin Han +1
In the near future, the China Space Station Telescope (CSST) will obtain unprecedented imaging and spectroscopic data. The statistical errors in the cosmological parameter constrai…