Abstract Details

Name: Divita Saraogi
Affiliation: IIT Bombay
Conference ID : ASI2024_701
Title : Localisation of Gamma Ray Bursts using AstroSat Mass Model
Authors : Divita Saraogi1,★ J Venkata Aditya2, Varun Bhalerao1,† Suman Bala1, Arvind Balasubramanian3, Sujay Mate3, Tanmoy Chattopadhyay4, Soumya Gupta5, Vipul Prasad7, Gaurav Waratkar1, Navaneeth P K7, Rahul Gopalakrishnan 7, Dipankar Bhattacharya6, Gulab Dewangan7, Santosh Vadawale8
Authors Affiliation: 1Department of Physics, Indian Institute of Technology Bombay, Powai, Mumbai, Maharashtra 400076, India 2Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, Maharashtra 400076, India 3Department of Astronomy and Astrophysics, Tata Institute of Fundamental Research, Mumbai, Maharashtra 400005, India 4Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford CA 94305, USA 5Homi Bhabha National Institute, Anushakti Nagar, Mumbai, Maharashtra 400094, India 6Ashoka University, Department of Physics, Sonepat, Haryana 131029, India 7Inter University Centre for Astronomy and Astrophysics, Pune, Maharashtra 411007, India 8Physical Research Laboratory, Ahmedabad, Gujarat 380009, India
Mode of Presentation: Poster
Abstract Category : High Energy Phenomena, Fundamental Physics and Astronomy
Abstract : The Cadmium Zinc Telluride Imager (CZTI) on the AstroSat satellite exhibits strong sensitivity to Gamma Ray Bursts (GRBs), having detected nearly 600 of them, including approximately 50 that went unnoticed by other missions. Nonetheless, CZTI was not originally designed for GRB monitoring and lacks the capability to localise them. In this study, we introduce an innovative approach for GRB localisation based on the "shadows” created on the CZTI detector plane through the absorption and scattering caused by components and instruments on the satellite. By comparing the observed distribution of counts on the detector plane with simulated distributions using GEANT4 simulations with the AstroSat Mass Model, we can determine the sky coordinates of GRBs. Our localisation precision is characterized by a two-component model, featuring a narrow Gaussian component that encompasses nearly 50% probability of containing the source and a broader Gaussian component with an 11.3 times higher standard deviation that accounts for the remaining spread. The standard deviation of the Gaussian components inversely correlates with the number of counts originating from the source. To validate this model, we apply the method to GRBs with known positions, and our findings show excellent agreement between the model and actual observations. This newfound capability enhances the CZTI's versatility in the exploration of GRBs and other fast high-energy transient events.