8 citations · 16 across the 5 of their papers we have counts for
5 papers
Comparative Analysis of EMCEE, Gaussian Process, and Masked Autoregressive Flow in Constraining the Hubble Constant Using Cosmic Chronometers Dataset
Jing Niu, Jie-Feng Chen, Peng He +2
The Hubble constant () is essential for understanding the universe's evolution. Different methods, such as Affine Invariant Markov chain Monte Carlo Ensemble sampler (EMCEE),…
Constraining the Hubble Constant with a Simulated Full Covariance Matrix Using Neural Networks
Jing Niu, Peng He, Tong-Jie Zhang
The Hubble parameter, , plays a crucial role in understanding the expansion history of the universe and constraining the Hubble constant, . The Cosmic Chronomet…
Reconstruction of the dark energy scalar field potential by Gaussian process
Jing Niu, Kang Jiao, Peng He +1
Dark energy is believed to be responsible for the acceleration of the universe. In this paper, we reconstruct the dark energy scalar field potential using the Hubble paramet…
Cosmological joint analysis with cosmic growth and expansion rate
Jing Niu, Tong-Jie Zhang
The measurements of expansion rate and the growth rate describe the evolution of the universe, and both of them can constrain the cosmological models through data…
Energy conditions and entropy density of the universe
Wen-Fei Liu, Jing Niu, Juan Li +1
In the standard Friedmann-Lemaitre-Robertson-Walker (FLRW) cosmological model, the energy conditions provides model-independent bounds on the behavior of the distance modulus. Howe…