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 by Using Artificial Neural Networks from the Pantheon+ Sample
Zhen Huang, Xin Luo, Bin Zhang +4
In this paper, we calibrate the luminosity relation of gamma-ray bursts (GRBs) by Artificial Neural Networks (ANN) which is employed to analyze the Pantheon+ sample of type Ia supe…
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…