19 citations · 24 across the 5 of their papers we have counts for
5 papers
ClassiPyGRB: Machine Learning-Based Classification and Visualization of Gamma Ray Bursts using t-SNE
Keneth Garcia-Cifuentes, Rosa L. Becerra, Fabio De Colle
Gamma-ray burst (GRBs) are the brightest events in the universe. For decades, astrophysicists have known about their cosmological nature. Every year, space missions such as Fermi a…
Unraveling Parameter Degeneracy in GRB Data Analysis
Keneth Garcia-Cifuentes, Rosa Leticia Becerra, Fabio De Colle +1
Gamma-ray burst (GRB) afterglow light curves and spectra provide information about the density of the environment, the energy of the explosion, the properties of the particle accel…
Machine-Learning Enhanced Photometric Analysis of the Extremely Bright GRB 210822A
Camila Angulo-Valdez, Rosa L. Becerra, Margarita Pereyra +16
We present analytical and numerical models of the bright long GRB 210822A at . The intrinsic extreme brightness exhibited in the optical, which is very similar to other br…
Understanding the Nature of the Optical Emission in Gamma-Ray Bursts: Analysis from TAROT, COATLI, and RATIR Observations
R. L. Becerra, A. Klotz, J. L. Atteia +12
We collected the optical light curve data of 227 gamma-ray bursts (GRBs) observed with the TAROT, COATLI, and RATIR telescopes. These consist of 133 detections and 94 upper limits.…
Identification of Extended Emission Gamma-Ray-Bursts Candidates using Machine Learning
K. Garcia-Cifuentes, R. L. Becerra, F. De Colle +2
Gamma-Ray bursts (GRBs) have been traditionally classified based on their duration. The increasing number of extended emission (EE) GRBs, lasting typically more than 2 seconds but…