3 papers
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.CO2025
Model-independent Gamma-Ray Bursts Constraints on Cosmological Models Using Machine Learning
Bin Zhang, Huifeng Wang, Xiaodong Nong +3
In this paper, we calibrate the luminosity relation of gamma-ray bursts (GRBs) with the machine learning (ML) algorithms from the Pantheon+ sample of type Ia supernovae in a cosmol…
astro-ph.CO2024
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…