A software package for end-to-end modelling, fitting, and interpretation of electromagnetic transients via Bayesian Inference
State-of-the-art Code of Gamma-ray Burst Afterglow, A Standard Gamma-ray burst Afterglow Radiation Diagnoser
Calculate sensitivity curves and observation times for variable high-energy astrophysical sources
Transforming data into intelligence, algorithms into consciousness This README is a living document. Like biological organisms, it evolves, adapts, and grows with each iteration.
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 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.
Applying machine learning tools to identifying GRBs from simulated data.
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.
A comprehensive scheduling package for FERMI and LVC follow-up observations optimized for ultrafast telescope arrays
Public release of codes for the seven models explored in (https://doi.org/10.1016/j.jheap.2025.100519) [https://arxiv.org/abs/2506.23681] .
Public release of codes used for the 5 models explored in [ https://doi.org/10.1016/j.jheap.2026.100684 ]
An automated modelling pipeline for GRB light curves from the Swift satellite. Developed as part of my PhD.
Ensemble Learning Classifier to Classify High Redshift X-Ray GRBs
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).
Key Features: Synthetic Data Generation - Creates realistic GRB-like light curves with power-law decay and noise Interactive Parameters - Adjust data points, noise level, and training epochs via sidebar
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