Nilanjana Bagchi Aurpa

Reconstructing gamma-ray burst energy relations with observational H(z) data in a neural network framework

Abstract Gamma-ray bursts (GRBs) offer a powerful probe of the cosmic expansion history far beyond the redshift range accessible to Type Ia supernovae. However, the study of cosmological models using GRBs is hindered by the circularity problem, which arises from assuming a fiduci...