2 citations · 2 across the 3 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
Modern satellite missions localize many gamma-ray bursts (GRBs), but spectroscopic redshifts remain scarce because rapid optical follow-up is often unavailable. Optical plateau cla…
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…