High Performance Stingray: fast spectral timing for all

Open Access
Authors
Publication date 2025
Book title 33rd Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2025
Book subtitle 12-14 March 2025, Turin, Italy : proceedings
ISBN
  • 9798331524944
ISBN (electronic)
  • 9798331524937
Event 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2025
Pages (from-to) 459-463
Number of pages 5
Publisher Piscataway, NJ: IEEE Computer Society
Organisations
  • Faculty of Science (FNWI) - Anton Pannekoek Institute for Astronomy (API)
Abstract

Celestial objects are known to be change in brightness over time, driven by a diverse combination of physical processes, whose time scales range from sub-milliseconds to billions of years. Stingray is an open-source Python package that brings advanced time series analysis techniques to the astronomical community, with a focus on high-energy astrophysics, but built on top of general-purpose classes and methods that are designed to be easily adapted and extended to other use cases. We describe the work being done to adapt Stingray to the analysis of large data archives. In particular, we measure the performance and scalability of Stingray and use parallel computing to speed up selected parts of the code.

Document type Conference contribution
Language English
Published at https://doi.org/10.1109/PDP66500.2025.00071
Other links https://www.proceedings.com/80132.html https://www.scopus.com/pages/publications/105005026849
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