The Locus Algorithm III: A Grid Computing system to generate catalogues of optimised pointings for Differential Photometry
Abstract
This paper discusses the hardware and software components of the Grid Computing system used to implement the Locus Algorithm to identify optimum pointings for differential photometry of 61,662,376 stars and 23,799 quasars. The scale of the data, together with initial operational assessments demanded a High Performance Computing (HPC) system to complete the data analysis. Grid computing was chosen as the HPC solution as the optimum choice available within this project. The physical and logical structure of the National Grid computing Infrastructure informed the approach that was taken. That approach was one of layered separation of the different project components to enable maximum flexibility and extensibility.
- Publication:
-
arXiv e-prints
- Pub Date:
- March 2020
- DOI:
- 10.48550/arXiv.2003.04565
- arXiv:
- arXiv:2003.04565
- Bibcode:
- 2020arXiv200304565C
- Keywords:
-
- Astrophysics - Instrumentation and Methods for Astrophysics;
- Computer Science - Distributed;
- Parallel;
- and Cluster Computing;
- J.2;
- C.5
- E-Print:
- 12 Pages, 9 Figures, 1 reference corrected, cross-references for arxiv links updated
