A software package for end-to-end modelling, fitting, and interpretation of electromagnetic transients via Bayesian Inference

State-of-art Code of Gamma-ray Burst Afterglow, A Standard Gamma-ray burst Afterglow Radiation Diagnoser

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.

Ensemble Learning Regression Model for GRB Redshift Estimation

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.

Deep Learning Framework for GRB Localization for COSI.

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

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.

Prompt analysis of Gamma Ray Bursts has always been a tough task . Here i have worked on AstroSat CZTI data to not just detect the signal or spike but also a proper analytical pipeline on classifying the signal into a GRB or a charged particle or noise by various conditions

Genetic Algorithm for the optimization of a GRB LCs stochastic model (Stern & Svensson, 1996).

Ensemble Learning Classifier to Classify High Redshift X-Ray GRBs

Scalar-Tensor Simulation of Gamma-Ray Bursts (GRBs) within the IDMR-YM Framework.

Ensemble Learning Regression Model for GRB Redshift Estimation