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arXiv 1609.02476astro-ph.IM
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欧洲极大望远镜多目标自适应光学性能的Monte-Carlo模拟

Monte-Carlo modelling of multi-object adaptive optics performance on the European Extremely Large Telescope

Alastair Basden, Tim Morris

摘要:

宽视场自适应光学系统的性能取决于输入设计参数。在这里,我们调查的多对象自适应光学系统设计的欧洲极大望远镜的性能,使用端到端的蒙特卡罗自适应光学仿真工具,DASP,与建议的仪器,如MOSAIC的相关性。我们考虑的参数,如激光导星的数量,钠层深度,波前传感器像素尺度,致动器间距和自然导星的可用性。我们提供了可以节省成本的潜在领域,并调查性能和成本之间的权衡,并提供解决方案,使这种仪器能够用目前可用的技术来建造。我们的主要建议包括:对于每像素约0.7弧秒的激光引导星波前传感器像素尺度和至少7弧秒的视场的权衡,即使需要降低帧速率,也应该将EMCCD技术用于自然引导星波前传感器,并且可以通过稍微减少自然引导星子孔径数来改善天空覆盖,而不会显著影响层析成像性能。我们发现,自适应光学校正可以保持在一个广泛的视野,直径高达7弧分。我们还建议使用至少4颗激光引导星,并包括地面层和多目标自适应光学性能评估。

英文摘要:

The performance of a wide-field adaptive optics system depends on input design parameters. Here we investigate the performance of a multi-object adaptive optics system design for the European Extremely Large Telescope, using an end-to-end Monte-Carlo adaptive optics simulation tool, DASP, with relevance for proposed instruments such as MOSAIC. We consider parameters such as the number of laser guide stars, sodium layer depth, wavefront sensor pixel scale, actuator pitch and natural guide star availability. We provide potential areas where costs savings can be made, and investigate trade-offs between performance and cost, and provide solutions that would enable such an instrument to be built with currently available technology. Our key recommendations include a trade-off for laser guide star wavefront sensor pixel scale of about 0.7 arcseconds per pixel, and a field of view of at least 7 arcseconds, that EMCCD technology should be used for natural guide star wavefront sensors even if reduced frame rate is necessary, and that sky coverage can be improved by a slight reduction in natural guide star sub-aperture count without significantly affecting tomographic performance. We find that adaptive optics correction can be maintained across a wide field of view, up to 7 arcminutes in diameter. We also recommend the use of at least 4 laser guide stars, and include ground-layer and multi-object adaptive optics performance estimates.

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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