Abstract
Multi-wavelength observation of gamma-ray bursts (GRBs) requires real-time interaction among multiple telescopes. A gamma-ray telescope detects and localizes a GRB in the sky and must then communicate with an optical telescope to direct the latter toward the GRB as quickly as possible. We previously developed software for ADAPT, a suborbital gamma-ray telescope, to localize GRBs in real time, on a timescale shorter than that of the GRB itself. This work therefore studies progressive localization, in which ADAPT computes a series of increasingly accurate location estimates during a GRB to enable a partner instrument to more rapidly find it. We describe a modeling and optimization framework to decide when ADAPT should compute estimated GRB locations to minimize the time for the partner to find the GRB. Our framework can design progressive strategies that allow a partner telescope to find a GRB up to 42% faster than strategies using a single alert.
Recommended Citation
Y. Htet et al., "Modeling And Optimizing Real-Time Telescope Interaction For Multi-wavelength Observation Of Gamma-ray Bursts," Proceedings of 2025 Workshops of the International Conference on High Performance Computing Network Storage and Analysis Sc 2025 Workshops, pp. 2161 - 2168, Association for Computing Machinery (ACM), Nov 2025.
The definitive version is available at https://doi.org/10.1145/3731599.3767475
Meeting Name
SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis
Department(s)
Computer Science
Publication Status
Open Access
Keywords and Phrases
interactive search; multi-messenger astrophysics; performance modeling; real-time systems; streaming computation
International Standard Book Number (ISBN)
979-8-4007-1871-7
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
15 Nov 2025
Included in
Databases and Information Systems Commons, Other Computer Sciences Commons, Systems Architecture Commons

Comments
University of Washington, Grant 80NSSC21K1741