4 papers
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…
Probing evolution of Long GRB properties through their cosmic formation history aided by Machine Learning predicted redshifts
Dhruv S. Bal, Aditya Narendra, Maria Giovanna Dainotti +3
Gamma-ray Bursts (GRBs) are valuable probes of cosmic star formation reaching back into the epoch of reionization, and a large dataset with known redshifts () is an important in…
Probing Evolution of Long Gamma-Ray Burst Properties through Their Cosmic Formation History
Nikita S. Khatiya, Maria Giovanna Dainotti, Aditya Narendra +3
The astrophysics of Long GRB (LGRB) progenitors as well as possible cosmological evolution in their properties still poses many open questions. Previous studies suggest that the LG…
The multiwavelength correlations quest for central engines of GRB plateaus: magnetar vs black hole spin-down
Aleksander Ł. Lenart, Maria G. Dainotti, Nikita Khatiya +4
This manuscript presents a multilevel analysis of gamma-ray bursts (GRBs). We focus on the plateau phase, which is often observed in the light curves (LCs) of GRBs. We discuss its…