812 citations · 2.7k across the 46 of their papers we have counts for
47 papers
Cosmology with Galaxy Cluster Properties using Machine Learning
Lanlan Qiu, Nicola R. Napolitano, Stefano Borgani +10
[Abridged] Galaxy clusters are the most massive gravitationally-bound systems in the universe and are widely considered to be an effective cosmological probe. We propose the first…
AI-assisted reconstruction of cosmic velocity field from redshift-space spatial distribution of halos
Ziyong Wu, Liang Xiao, Xu Xiao +6
The peculiar velocities of dark matter halos are crucial to study many issues in cosmology and galaxy evolution. In this study, by using the state-of-the-art deep learning techniqu…
Cosmological Constraint Precision of the Photometric and Spectroscopic Multi-probe Surveys of China Space Station Telescope (CSST)
Haitao Miao, Yan Gong, Xuelei Chen +3
As one of Stage IV space-based telescopes, China Space Station Telescope (CSST) can perform photometric and spectroscopic surveys simultaneously to efficiently explore the Universe…
Cosmological constraints from the density gradient weighted correlation function
Xiaoyuan Xiao, Yizhao Yang, Xiaolin Luo +8
The mark weighted correlation function (MCF) is a computationally efficient statistical measure which can probe clustering information beyond that of the conventional 2-po…
The four cosmic tidal web elements from the -skeleton
John F. Suárez-Pérez, Yeimy Camargo, Xiao-Dong Li +1
Precise cosmic web classification of observed galaxies in massive spectroscopic surveys can be either highly uncertain or computationally expensive. As an alternative, we explore a…
Sensitivity tests of cosmic velocity fields to massive neutrinos
Shuren Zhou, Zhenjie Liu, Qinglin Ma +8
We investigate impacts of massive neutrinos on the cosmic velocity fields, employing high-resolution cosmological -body simulations provided by the information-optimized CUBE co…