We present the software system developed to implement the Locus Algorithm, a novel algorithm designed to maximise the performance of differential photometry systems by optimising the number and quality of reference stars in the Field of View with the target. Firstly, we state the design requirements, constraints and ambitions for the software system required to implement this algorithm. Then, a detailed software design is presented for the system in operation. Next, the data design including file structures used and the data environment required for the system are defined. Finally, we conclude by illustrating the scaling requirements which mandate a high-performance computing implementation of this system, which is discussed in the other papers in this series.
@article{arxiv.2003.04574,
title = {The Locus Algorithm II: A robust software system to maximise the quality of fields of view for Differential Photometry},
author = {Kevin Nolan and Eugene Hickey and Oisín Creaner},
journal= {arXiv preprint arXiv:2003.04574},
year = {2020}
}
Comments
11 Pages, 13 Figures, Updated arxiv references with URLs for other papers in series