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Integrating AO in a performance budget: towards a global systemengineering vision

机译:将AO整合到绩效预算中:迈向全球系统 r n工程愿景

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EAGLE (Extremely large Adaptive telescope for GaLaxy Evolution) is one of the eight E-ELT instrument concepts that were developed as p art of the Phase A E-ELT instrument studies. EAG LE is a near-infrared wide field multi object spectrograph[4]. It includes its own multi-object adaptive optics system (MOAO) and its subsystems are cooled down so as to ens ure th at t he i nstrument ca n both ac hieve t he des ired s patial res olution a nd to be s ure t hat t he i nstrument i s background limited, as required in the primary science case, to deliver the performance in the K-band. In this paper we discuss the performance matrix developed to allow us to partition and allocate the important characteristics to the various subsystems as well a s to d escribe th e p rocess to v erify th at th e c urrent co ncept d esign will d eliver th e r equired performance. Du e to th e integrated nature of the instrument, a large number of AO parameters have to be controlled. The performance matrix also has to deal with the added complexity of active and adaptive optical elements such as the science channel deformable mirrors (DMs). This paper also defines a method of how to convert the ensquared energy (EE) and signal-to-noise ratio (SNR) required by the science cases into the "as designed" wavefront error and the overall residue wavefront error. To ensure successful integration and verification of the next generation instruments for ELT it is of the utmost importance to have method to control and manage the instrument's critical performance characteristics at very early design steps.
机译:EAGLE(用于GaLaxy进化的超大型自适应望远镜)是八个A-E-ELT仪器概念之一,是A期E-ELT仪器研究的一部分。 EAG LE是近红外广域多目标光谱仪[4]。它包括自己的多目标自适应光学系统(MOAO),其子系统也经过冷却,以确保能够同时实现所需的空间分辨率和要解决的问题。根据主要科学案例的要求,仪器的背景受到限制,无法在K波段上提供性能。在本文中,我们讨论了性能矩阵,该矩阵允许我们对重要的子系统进行划分和分配重要的特征,并描述在当前情况下进行验证的过程,直到设计达到目标为止性能。由于仪器的集成特性,必须控制大量AO参数。性能矩阵还必须处理诸如科学通道可变形反射镜(DM)之类的有源和自适应光学元件的复杂性。本文还定义了一种方法,该方法将科学案例所需的平方能量(​​EE)和信噪比(SNR)转换为“设计时”的波前误差和总残留波前误差。为了确保成功集成和验证用于ELT的下一代仪器,至关重要的是要有一种方法可以在非常早期的设计步骤中控制和管理仪器的关键性能特征。

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