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Key Performance Parameter based systems engineering for the Giant Magellan Telescope through construction and commissioning

机译:基于关键性能参数基于参数的巨型Magellan望远镜通过施工和调试的系统工程

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In the advanced design, construction, and commissioning phases of GMTO project, the critical role of systems engineering is tracking and managing expected observatory performance and ensuring that the scientific goals of the Giant Magellan Telescope (GMT) are met. GMTO's approach to this role is defining Key Performance Parameters (KPPs) to measure technical performance. A set of KPPs have been established to assess the performance of the telescope through construction and Assembly. Integration, Verification, and Commissioning (AIVC). Each KPP has a threshold value representing the minimum acceptable performance, and an objective value representing the desired operational performance. KPPs are used to prioritize maturation plans for technologies and novel system-level design strategies. The KPPs directly characterize the performance of the telescope by ensuring focal plane (image), exit pupil (wavefront) and light collecting capabilities of the telescope. The paper demonstrates that the chosen KPPs properly represent key science capabilities, as image size, sensitivity, photometric, and astrometric accuracy. It is also shown how detailed error budgets link the KPPs to component technical specifications that in turn are closely monitored by simulations. Integrated modeling is crucial for the performance-based systems engineering approach of defining and then evaluating the objective and threshold levels for the KPPs. As described in other GMTO paper at this conference, contributions from individual subsystems and components are modeled to determine their effect on system performance. We describe how GMTO has implemented KPPs and is now using them to guide and coordinate technical development.
机译:在先进的设计,施工和GMTO项目的调试阶段,系统工程的关键作用是跟踪和管理预期天文台性能,并确保巨型麦哲伦望远镜(GMT)的科学目标得以实现。 GMTO的方法来这个角色定义关键性能参数(关键性能参数)来衡量的技术性能。一组关键性能参数的相继成立,以评估通过结构和组装望远镜的性能。集成,验证和调试(AIVC)。每个KPP具有代表最小可接受性能的阈值,和表示所希望的操作性能的目标值。关键性能参数都用于优先级的成熟计划的技术和新颖的系统级设计策略。的关键性能参数通过确保焦平面(图像),出射光瞳(波前)和望远镜的光收集能力直接表征望远镜的性能。本文证明了所选择的关键性能参数适当地表示键科学能力,如图像尺寸,灵敏度,光度,和天文精度。它也显示详细的错误的预算如何关键性能参数链接到组件的技术规范,在依次通过密切监测模拟。集成的建模是一种定义,然后评估的关键性能参数的目标和阈值水平的基于性能的系统工程方法至关重要。截至本次会议的其他GMTO论文中描述,从单个子系统和部件的贡献进行建模以确定其对系统性能的影响。我们描述GMTO是如何实施的关键性能参数,现在用它们来指导和协调技术开发。

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