3 papers
astro-ph.CO2025
Testing the Cosmic Distance Duality Relation with Neural Kernel Gaussian Process Regression
Xin Luo, Nan Liang
In this work, we test the cosmic distance duality relation (CDDR) by combining Pantheon+ Type Ia supernova (SNe Ia) data and DESI DR2 baryon acoustic oscillation (BAO) measurements…
astro-ph.CO2025
Gamma-Ray Bursts Calibrated from the Observational Data in Artificial Neural Network Framework
Zhen Huang, Zhiguo Xiong, Xin Luo +3
In this paper, we calibrate the luminosity relation of gamma-ray bursts (GRBs) from an Artificial Neural Network (ANN) framework for reconstructing the Hubble parameter \unboldmath…
astro-ph.CO2024
Testing the phenomenological interacting dark energy model with gamma-ray bursts and Pantheon+ type Ia supernovae
Xiao-Dong Nong, Nan Liang
In this paper, we utilize recent observational data from gamma-ray bursts (GRBs) and Pantheon+ supernovae Ia (SNe Ia) sample to explore the interacting dark energy (IDE) model in a…