A study of MOAO behind GLAO for EAGLE
A study of MOAO behind GLAO for EAGLE
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EAGLE GLAO 背后的 MOAO 研究
DOI：
10.1117/12.925364
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Basden A
中科院分区：
文献类型：
--
作者：
Basden A
MOAO校正的多IFU仪器，例如为E-ELT提出的EAGLE仪器，具有校正每个IFU子场的可变形镜。此外，EAGLE还将使用E-ELT可变形M4镜来应用全局（闭环）MOAO校正。在这里，我们研究了如果在整个领域应用全局GLAO校正，而不是优化的全局MOAO校正（可能相同也可能不同），对MOAO性能的影响。M4校正的差异（GLAO和最佳MOAO之间）将取决于科学领域中IFU传感器的位置，也取决于湍流，例如，如果M4 DM校正的不止是地面层，则MOAO DM冲程可能会最小化，这取决于湍流在整个视场中去相关的速度。我们考虑了对MOAO DM中风的影响，对性能的影响，并研究了断层扫描和非断层扫描GLAO校正。如果例如设计了组合的多目标摄谱仪和多IFU仪器，则可能会出现这种情况，例如将EAGLE与另一种提出的E-ELT仪器集成会导致这种情况。我们在这里证明，EAGLE的性能将不会受到显着影响被放置在另一个这样的仪器后面。将使用达勒姆AO模拟平台，通过完整的端到端蒙特卡罗模拟获得所列结果。我们还提出了一些算法，可用于提高AO性能，无论是在像素处理和多镜控制。
An MOAO corrected multi-IFU instrument, such as the EAGLE instrument proposed for the E-ELT has a deformable mirror correcting each IFU sub-field. Additionally, EAGLE will also use the E-ELT deformable M4 mirror to apply a global (closed-loop) MOAO correction. Here, we investigate the impact on MOAO performance if a global GLAO correction is applied across the whole field, rather than the optimised global MOAO correction (which may or may not be identical). The differences in M4 correction (between GLAO and optimal MOAO) will depend on the position of IFU pick-offs in the science field, and also on the turbulence, for example, MOAO DM stroke may be minimised if more than the ground layer is corrected by the M4 DM, depending on how fast turbulence decorrelates across the field of view. We consider the impact on MOAO DM stroke, the effect on performance, and study both tomographic and non-tomographic GLAO corrections. Such a situation may arise if for example a combined multi-object spectrograph and multi-IFU instrument is designed, such as would result from the integration of EAGLE with another proposed E-ELT instrument. We demonstrate here that performance of EAGLE will not be significantly affected by being placed behind another such instrument. The results presented will be obtained using full end-to-endMonte-Carlo simulations using the Durham AO Simulation Platform. We also present a number of algorithms which can be used to improve AO performance, both in pixel processing and multi-mirror control.
Durham 自适应光学实时控制器。
影响因子：
1.9
作者：
Basden A
通讯作者：
Basden A
蒙特卡罗自适应光学仿真中 EAGLE 的注意事项
影响因子：
1.9
作者：
Basden A
通讯作者：
Basden A
达勒姆极大望远镜自适应光学模拟平台。
影响因子：
1.9
作者：
Basden A
通讯作者：
Basden A