2 papers
astro-ph.CO2026
Revisiting 2D and 3D Dainotti Correlations for GRBs Using Bayesian Neural Networks
Nilanjana Bagchi Aurpa, Abha Dev Habib, Nisha Rani
Gamma-ray bursts (GRBs) are promising cosmological probes, but their use as standard candles is limited by the circularity problem, necessitating model-independent calibration of G…
astro-ph.CO2026
Reconstructing Gamma Ray Burst Energy Relations with Observational H(z) data in Neural Network Framework
Nilanjana Bagchi Aurpa, Abha Dev Habib, Nisha Rani
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 mo…