14 citations · 14 across the 4 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
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…
GRB Redshift Estimation using Machine Learning and the Associated Web-App
Aditya Narendra, Maria Dainotti, Milind Sarkar +7
Context. Gamma-ray bursts (GRBs), observed at redshifts as high as 9.4, could serve as valuable probes for investigating the distant Universe. However, this necessitates an increas…
GRB Redshift Classifier to Follow-up High-Redshift GRBs Using Supervised Machine Learning
Maria Giovanna Dainotti, Shubham Bhardwaj, Christopher Cook +8
Gamma-ray bursts (GRBs) are intense, short-lived bursts of gamma-ray radiation observed up to a high redshift () due to their luminosities. Thus, they can serve as cosmo…