849 citations · 2k across the 36 of their papers we have counts for
35 papers
ELUCID-DESI II. Revealing dark matter mass, tidal, and velocity (MTV) fields using galaxy group phase information
Qingyang Li, Xiaohu Yang, Wensheng Hong +24
We introduce a novel method for reconstructing the cosmic mass, tidal, and velocity (MTV) fields over the redshift range using the phase information of galaxy groups.…
Galaxy Light profile neural Networks (GaLNets). II. Bulge-Disc decomposition in optical space-based observations
Chen Qiu, Nicola R. Napolitano, Rui Li +12
Bulge-disk (B-D) decomposition is an effective diagnostic to characterize the galaxy morphology and understand its evolution across time. So far, high-quality data have allowed det…
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…
Performance of different correction maps in the extended phase-space method for spinning compact binaries
Junjie Luo, Jie Feng, Hong-Hao Zhang +1
Since the first detection of gravitational waves by the LIGO/VIRGO team, the related research field has attracted more attention. The spinning compact binaries system, as one of th…
About One-point Statistics of the Ratio of Two Fourier-transformed Cosmic Fields and an Application
Ming Li, Jun Pan, Pengjie Zhang +7
The Fourier transformation is an effective and efficient operation of Gaussianization at the one-point level. Using a set of N-body simulation data, we verified that the one-point…
Estimation of the Galaxy Quenching Rate in the Illustris Simulation
Yang Wang, Xuan Liu, Weishan Zhu +2
Quenching is a key topic in exploring the formation and evolution of galaxies. In this work, we study the quenching rate, i.e., the variation in the fraction of quenched galaxies p…