4 papers
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…
Mock Observations: Morphological Analysis of Galaxies in TNG100 Simulations
Jun-Yu Gong, Weipeng Lin, Lin Tang +1
In this study, we investigate the morphology of galaxies in the TNG100 simulation by applying mock observation techniques and compare the results with the observational data from t…
Mock Observations: Three Different Types of Galaxy Alignment in TNG100 Simulations
Yanyao Lan, Lin Tang, Weipeng Lin +1
In this study, galaxy samples have been generated using mock observation techniques based on the results of TNG100-1 simulations to investigate three forms of intrinsic alignment:…