66 citations · 97 across the 7 of their papers we have counts for
3 papers · 1 filter
Universal Fitting Formulae for the Peak Concentration of Dark Matter Halos
Dao-zhou Wang, Weipeng Lin, Tian-Cheng Luan
The prediction of the structural properties of dark matter halos is crucial for studies in modern cosmology and galaxy formation. Utilizing a comprehensive suite of N-body simulati…
Cosmology with galaxy clusters using machine learning. Application to eROSITA Data
Fucheng Zhong, Nicola R. Napolitano, Johan Comparat +8
Context: We present the first Cosmological Parameter inferences from eROSITA X-ray observations of galaxy clusters using a Machine Learning algorithm. Methods: We train a Random Fo…
Galaxy formation with cold gas accretion and evolving stellar initial mass function
Xi Kang, WeiPeng Lin, Ramin A. Skibba +1
The evolution of the galaxy stellar mass function is especially useful to test the current model of galaxy formation. Observational data have revealed a few inconsistencies with pr…