12 citations · 26 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Constraining the emergent dark energy models with observational data at intermediate redshift
GuangZhen Wang, Xiaolei Li, Nan Liang
In this work, we investigate the phenomenologically emergent dark energy (PEDE) model and its generalized form, namely the generalized emergent dark energy (GEDE) model, which intr…