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arXiv 1111.4916gr-qcastro-ph.IM
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LISA探路者作战演习中的参数估计

Parameter estimation in LISA Pathfinder operational exercises

M. Nofrarias, L. Ferraioli, G. Congedo, M. Hueller, M. Armano, M. Diaz-Aguilo, A. Grynagier, M. Hewitson, S. Vitale

摘要:

LISA探路者数据分析团队在过去几年中一直在开发在飞行操作期间运行任务所需的基础设施和方法。这些数据被收集在LTPDA工具箱中,LTPDA工具箱是一个面向对象的MATLAB工具箱,允许对任务进行所有数据分析,同时存储对数据进行的所有操作的历史,从而便于分析的可追溯性和再现性。工具箱中的参数估计方法最近已被应用于OSE(离线模拟环境)生成的数据集,OSE是一个详细的LISA探路者非线性模拟器,将在飞行任务操作期间作为参考模拟器。这些操作演习的目的是在软件和时间限制方面在现实环境中测试在轨实验。这些模拟,即所谓的操作练习,是将这些实验转化为航天器远程命令序列之前的最后一个验证步骤,因此产生非常相关的数据集来测试我们的数据分析方法。在这方面的贡献,我们报告的结果与三种不同的参数估计方法在这些业务演习之一。

英文摘要:

The LISA Pathfinder data analysis team has been developing in the last years the infrastructure and methods required to run the mission during flight operations. These are gathered in the LTPDA toolbox, an object oriented MATLAB toolbox that allows all the data analysis functionalities for the mission, while storing the history of all operations performed to the data, thus easing traceability and reproducibility of the analysis. The parameter estimation methods in the toolbox have been applied recently to data sets generated with the OSE (Off-line Simulations Environment), a detailed LISA Pathfinder non-linear simulator that will serve as a reference simulator during mission operations. These operational exercises aim at testing the on-orbit experiments in a realistic environment in terms of software and time constraints. These simulations, so called operational exercises, are the last verification step before translating these experiments into tele-command sequences for the spacecraft, producing therefore very relevant datasets to test our data analysis methods. In this contribution we report the results obtained with three different parameter estimation methods during one of these operational exercises.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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