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20192024
most citedLikelihood-free Cosmological Constraints with Artificial Neural Networks: An Application on Hubble Parameters and SNe Ia

29 citations · 133 across the 15 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

astro-ph.CO2023★ 1 cited

Cosmological neutrino N-body simulations of dark matter halo

Yu Chen, Chang-Zhi Lu, Juan Li +3

The study of massive neutrinos and their interactions is a critical aspect of contemporary cosmology. Recent advances in parallel computation and high-performance computing provide…

astro-ph.CO2023

Effect of Neutrinos on Angular Momentum of Dark Matter Halo

Yu Chen, Chang-Zhi Lu, Yu Lu +2

Massive neutrinos are expected to affect the large-scale structure formation, including the major component of solid substances, dark matter halos. How halos are influenced by neut…

astro-ph.IM2023

A Search for Extraterrestrial Technosignatures in Archival FAST Survey Data Using a New Procedure

Yu-Chen Wang, Zhen-Zhao Tao, Zhi-Song Zhang +4

The "search for extraterrestrial intelligence" (SETI) commensal surveys aim to scan the sky to find possible technosignatures from the extraterrestrial intelligence (ETI). The miti…

astro-ph.CO2023★ 4 cited

Novel Cosmological Joint Constraints in Multidimensional Observables Space with Redshift-free Inferences

Wei Hong, Kang Jiao, Yu-Chen Wang +2

Cosmology constraints serve as a crucial criterion in discriminating cosmological models. The traditional combined method to constrain the cosmological parameters designates the co…

astro-ph.CO2023★ 25 cited

Kernel Selection for Gaussian Process in Cosmology: with Approximate Bayesian Computation Rejection and Nested Sampling

Hao Zhang, Yu-Chen Wang, Tong-Jie Zhang +1

Gaussian Process (GP) has gained much attention in cosmology due to its ability to reconstruct cosmological data in a model-independent manner. In this study, we compare two method…