Name: | Dhananjay Raman |
Affiliation: | Indian Institute of Technology, Bombay |
Conference ID : | ASI2024_995 |
Title : | Gamma Ray Burst Localization using Triangulation |
Authors : | Dhananjay Raman 1, Gaurav Waratkar 2, Varun Bhalerao 2 |
Authors Affiliation: | 1. Department of Computer Science and Engineering, IIT Bombay, Powai, Mumbai - 400076, India
2. Department of Physics, IIT Bombay, Powai, Mumbai - 400076, India |
Mode of Presentation: | Oral |
Abstract Category : | Facilities, Technologies and Data science |
Abstract : | High energy space telescopes detecting Gamma Ray Bursts (GRBs) localize the sources by various methods like count distributions in detectors (like Fermi GBM) or with coded aperture masks (like Swift-BAT). Data from multiple satellites can be used to enhance the localisation in various ways, the most important being timing-based triangulation as implemented in the Inter-Planetary Network (IPN).
The Cadmium Zinc Telluride Imager (CZTI) on AstroSat has been highly successful in detecting GRBs. This may be complemented by hard X-ray / Gamma Ray detectors on other missions like Aditya L1, Chandrayaan 2, or even possible future Venus missions. The network will be boosted in particular by the proposed twin-satellite Daksha mission.
We developed software for timing-based localisation using the Hurley (2020) IPN algorithm. We then simulated realistic GRBs as detected by multiple missions. We undertook localisation by conducting a grid search on all sky positions, with the most likely location being given by the direction with the highest signal-to-noise ratio. We then run this algorithm on various networks of Indian satellites to demonstrate the localisation abilities of the network. In addition, we also consider a few hypothetical interplanetary scenarios and evaluate the accuracy of source localisation for those cases. We will present the results of our simulations, and showcase the possible improvement in localisation that is possible by jointly analyzing the data from multiple missions. |