通过基于层次优化算法的频率设置策略,增强了太极程序的检测精度
Jiafeng Zhang1,2, Zhen Yang1, Xiaoshan Ma1,3
1Key Laboratory of Electronics and Information Technology for Space System, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China.
Sensors (Basel, Switzerland)
|December 9, 2023
概括
一个新的层次优化算法改善了基于太空的引力波检测的频率设置. 这增强了数据采集,并减少了诸如太极计划之类的任务的噪音.
科学领域:
- 天文学和天体物理学
- 引力波检测引力波探测器
- 基于太空的干涉测量
背景情况:
- 基于太空的引力波检测需要在多个航天器上精确的激光干扰测量.
- 由于缺乏足够稳定的振荡器,因此需要强大的跨航天器频率设置策略来实现同步.
- 这一策略对于持续的数据采集和最大限度地减少引力波观测台的测量噪声至关重要.
研究的目的:
- 开发和提出一个层次优化算法,用于跨航天器的频率设置策略.
- 为了优化最小的总读取位移噪声和最大可行的节拍音频范围.
- 为太极引力波检测程序提供优化的仪器参数.
主要方法:
- 实现一个层次优化算法来确定频率设置参数.
- 优化目标集中在最小化读音噪声和最大化节奏音频频率范围.
- 探索参数效应,包括节拍音频界限和激光功率,对系统性能的影响.
主要成果:
- 该算法为Taiji程序产生了多个可行的参数组合.
- 在20个帕雷托最佳解决方案中实现了4.12 pm/Hz的最小总读取位移噪声.
- 确定了23MHz的最大可行的节奏音频频率范围.
结论:
- 提出的层次优化算法有效地解决了基于空间的干扰测量的频率设置挑战.
- 优化的参数为设计激光干扰测量系统提供了宝贵的参考.
- 预计这些发现将提高泰计划的检测性能和持续运行.
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