Gamma-Ray Bursts (GRBs) are fascinating astronomical phenomena that have captured the attention of scientists and researchers around the world. These powerful bursts of gamma-ray radiation, lasting from a fraction of a second to a few minutes, provide valuable insights into the universe’s workings.

The implemented algorithm

The GRB Hunters project aims to create a method to detect grbs based on their signal-to-noise ratio in the data from the Cadmium Zinc Telluride Imager (CZTI) onboard ISRO’s AstroSat. By statistically analysing the noise in the data, a quantitative measure of the signal-to-noise ratio was obtained. This was then used to distinguish particle/noise data from real sources of gamma rays.

The logic was implemented in a python script that can be used to analyse the data from CZTI. On the left is the repository containing all the code developed for the project.

Here is the report documenting the theory, logic and implementation of the project: