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Conquer complexity with systems engineering, as illustrated by EAGLE (a Multi-Object Adaptive Optics IFU Spectrograph)

机译:用EAGLE(多目标自适应光学IFU光谱仪)说明的系统工程来解决复杂性

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This paper illustrates how the design of an instrument such as the Extremely Large Adaptive Telescope for GaLaxy Evolution (EAGLE) instrument can be simplified. EAGLE is a Wide Field Multi Object Integral Field Unit Spectrometer aimed as a cornerstone instrument for the European Extremely Large Telescope (E-ELT). The instrument is rich in capabilities and will require Adaptive Optics to ensure that the expected spatial resolution (typically 15 times finer than that of a seeing limited instrument) can be met. The complexities introduced by the need to include a Multi-Object Adaptive Optics system (MOAO) can be simplified by using well defined systems engineering processes. These processes include the capturing, analysis and flow down of requirements, functional and performance analysis and an integrated system design approach. In this paper we will also show by example why the discipline imposed by the UK ATC formal systems engineering process is necessary, especially given that projects such as EAGLE also have to deal with the complexities of international collaborations. It also illustrates how the process promotes innovation and creativity.
机译:本文说明了如何简化诸如LaGaxy进化的超大型自适应望远镜(EAGLE)仪器之类的仪器的设计。 EAGLE是一种广域多目标整体场单位光谱仪,旨在作为欧洲超大型望远镜(E-ELT)的基石仪器。该仪器功能强大,将需要自适应光学器件来确保能够达到预期的空间分辨率(通常比看到的有限仪器的分辨率高15倍)。通过使用定义明确的系统工程流程,可以简化因需要包含多对象自适应光学系统(MOAO)而带来的复杂性。这些过程包括需求的捕获,分析和流程,功能和性能分析以及集成的系统设计方法。在本文中,我们还将以示例方式展示为什么英国ATC正式系统工程流程所施加的纪律是必要的,尤其是考虑到EAGLE之类的项目也必须应对国际合作的复杂性。它还说明了该过程如何促进创新和创造力。

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