Abstract
Multi-messenger astrophysics combines observations from multiple instruments to study transient astrophysical phenomena, many occurring at seconds-level timescales. To identify and precisely localize these events in the sky, current systems often search through extensive sensor data, requiring resource-intensive computation to achieve results on the timescale of the events themselves. We seek to reduce computational requirements so as to perform real-time event localization with limited computational resources suitable for an orbital platform. This work studies the performance of a computational pipeline for real-time gamma-ray burst (GRB) detection and localization aboard the Antarctic Demonstrator for the Advanced Particle-astro-physics Telescope (ADAPT), a balloon-borne prototype for a space-based gamma-ray observatory supporting multi-messenger observations. ADAPT observes gamma-ray Compton scattering, then uses the pipeline to combine information from multiple photons to identify a GRB's source direction. In this paper, we identify, model, and measure key uncertainties, then propose instrumentation and computational improvements to reduce them, substantially improving localization accuracy.
Recommended Citation
Y. Htet et al., "Localization Of Gamma-ray Bursts In A Balloon-Borne Telescope," ACM International Conference Proceeding Series, pp. 395 - 398, Association for Computing Machinery (ACM), Nov 2023.
The definitive version is available at https://doi.org/10.1145/3624062.3624107
Meeting Name
SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis
Department(s)
Computer Science
Publication Status
Open Access
Keywords and Phrases
gamma-ray astronomy; multi-messenger astrophysics
International Standard Book Number (ISBN)
979-8-4007-0785-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2026 The Authors, All rights reserved.
Creative Commons Licensing

This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
12 Nov 2023
Included in
Databases and Information Systems Commons, Other Computer Sciences Commons, Systems Architecture Commons

Comments
This work was supported by NASA award 80NSSC21K1741and National Science Foundation, Grant CNS-1763503