Multi-objective Optimization of Interferometric Array u–v Coverage. (16th July 2021)

• Record Type: Journal Article
• Authors: Zhang, Rongyu; Yan, Jingye; Wu, Lin; Wu, Ji
• Is Part Of: Publications of the Astronomical Society of the Pacific. Volume 133:Number 1025(2021)
• Publication Date: 2021-07-16
• Subjects: Interferometers -- Algorithms -- Solar radio telescopes; Astronomy -- Periodicals; Astronomy; Periodicals; Periodicals; 520.5
• DOI: 10.1088/1538-3873/ac0f8b
• Languages: English
• ISSNs: 0004-6280

Abstract

Abstract: A new principle is introduced to optimize the configuration of an interferometric array, based on the trade-off between the uniform and Gaussian u – v distributions. The multi-objective optimization method, nondominated sorting genetic algorithm II (NSGA-II), is applied to achieve the optimal trade-off. The resulting array having a single configuration can meet the observation requirements of both compact and extended sources. This method has been successfully applied to design a 16-element array as the initial stage of the Daocheng Solar Radio Telescope to illustrate its feasibility. NSGA-II is improved by introducing artificial intervention into the genetic operator to solve the equality constraints. The improved NSGA-II is applied to obtain the Pareto optimal set, and a 16-element array configuration is retrieved with the best u – v trade-off between the snapshot mode and Earth rotation synthesis mode.