2 papers
astro-ph.CO2026
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),…
astro-ph.CO2025
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…