This repository contains the codes, data, and results of the efforts in the Computational Data Science Lab to infer the unknown redshifts of individual Long-duration-class Gamma-Ray Bursts (GRBs) in the BATSE Catalog.
Analysis of optically-dark short gamma-ray bursts to investigate their progenitors and properties.
This repository contains the codes, data, and results of the efforts in the Computational Data Science Lab to infer the unknown redshifts of individual Short-duration-class Gamma-Ray Bursts (GRBs) in the BATSE Catalog.
Applying machine learning tools to identifying GRBs from simulated data.
A comprehensive scheduling package for FERMI and LVC follow-up observations optimized for ultrafast telescope arrays
A broker system for optical follow-up of astronomical alerts
Genetic Algorithm for the optimization of a GRB LCs stochastic model (Stern & Svensson, 1996).
Simulations code for testing future instrument performance for photometric redshift estimation of gamma-ray bursts. Please cite Fausey et al., 2023 (https://ui.adsabs.harvard.edu/abs/2023MNRAS.526.4599F/abstract) if you make use of this code.
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