2 citations · 2 across the 5 of their papers we have counts for
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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…
Gamma-Ray Burst Light Curve Reconstruction: A Comparative Machine and Deep Learning Analysis
A. Manchanda, A. Kaushal, M. G. Dainotti +14
Gamma-Ray Bursts (GRBs), observed at high-z, are probes of the evolution of the Universe and can be used as cosmological tools. Thus, we need correlations with small dispersion amo…