collaborators

6 papers

gr-qc2026

High Sensitivity Methodologies to Detect Radio Band Gravitational Waves

Wei Hong, Peng He, Tong-Jie Zhang +2

Gravitational waves (GWs) can resonate with magnetic fields through the Gertsenshtein-Zeldovich effect, producing electromagnetic signals at the same frequency. In pulsar magnetosp…

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…

astro-ph.HE2025

Theoretical Radio Signals from Radio-Band Gravitational Waves Converted from the Neutron Star Magnetic Field

Wei Hong, Zhen-Zhao Tao, Peng He +1

Gravitational waves (GWs) can convert into electromagnetic waves in the presence of a magnetic field via the Gertsenshtein-Zeldovich (GZ) effect. The characteristics of the magneti…

astro-ph.CO2025

Estimating Cosmological Parameters and Reconstructing Hubble Constant with Artificial Neural Networks: A Test with covariance matrix and mock H(z)

Jie-feng Chen, Tong-Jie Zhang, Peng He +2

In this work, we reconstruct the H(z) based on observational Hubble data with Artificial Neural Network, then estimate the cosmological parameters and the Hubble constant. The trai…

astro-ph.CO2025

Redshift drift effect through the observation of HI 21cm signal with SKA

Jiangang Kang, Tong-Jie Zhang, Peng He +1

This study presents the findings of using the Square Kilometre Array (SKA) telescope to measure redshift drift via the HI 21cm signal, employing semi-annual observational interval…