2 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Redshift Classification of Optical Gamma-Ray Bursts using Supervised Learning
Milind Sarkar, Maria Giovanna Dainotti, Nikita S. Khatiya +9
Gamma-ray bursts (GRBs) are among the most luminous explosions in the Universe and serve as powerful probes of the early cosmos. However, the rapid fading of their afterglows and t…
Multi-Model Framework for Reconstructing Gamma-Ray Burst Light Curves
A. Kaushal, A. Manchanda, M. G. Dainotti +13
Mitigating data gaps in Gamma-ray bursts (GRBs) light curves (LCs) is crucial for cosmological research, enhancing the precision of parameters, assuming perfect satellite condition…
The Machine Learning to reconstruct GRB lightcurves
Maria Giovanna Dainotti, Biagio De Simone, Aditya Narendra +1
The current knowledge in cosmology deals with open problems whose solutions are still under investigation. The main issue is the so-called Hubble constant () tension, namely,…