Results of AO simulations for ELTs
Results of AO simulations for ELTs
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ELT 的 AO 模拟结果
DOI：
10.1117/12.457998
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
N. Hubin
中科院分区：
文献类型：
--
作者：
R. Conan;M. Le Louarn;J. Braud;E. Fedrigo;N. Hubin
具有20 m至100 m主镜的极大望远镜（ELT）的设计和制作面临着许多挑战：机械，光学，计算等。为了充分利用这些设施的全部潜力，还必须为这些望远镜设计自适应光学系统（AOS）。为了实现全视场补偿和全天空覆盖，必须设想一种新的、有前途的多共轭自适应光学（MCAO）技术。MCAO系统设计的第一步是数值模拟。这是我们要面对的第一个挑战。AO模拟的规模由比率（D/r 0）、MCAOS对ELT的模拟要求（在计算能力和可用于存储数据的存储器方面）施加，达到并且有时克服实际计算机的能力。在ESO中，我们评估了不同的硬件和软件策略，以实现MCAO模拟目标。已经开发了两个代码来模拟MCAOS使用的分析和端到端的模型。这两种方法的目标和优点/局限性。这两种方法的硬件要求也通过其最大矩阵的大小给出。最后给出了用PC机机群和汇编代码进行MCAO仿真的硬件和软件测试结果。
The design and elaboration of Extremely Large Telescopes (ELT) with primary mirror from 20m to 100m face with many challenges: mechanical, optical, computational, etc. To benefit completely of the full potentiality of such facilities, an Adaptive Optics System (AOS) have also to be designed for these telescopes. For whole field--of--view compensation and full sky coverage, the new but promising Multi--Conjugated Adaptive Optics (MCAO) technique has to be envisaged. The first step towards the design of an MCAO system is the numerical simulation. This is the first challenge we have to face. The scale of AO simulations being imposed by the ratio (D/r0), the simulation requirements of a MCAOS for an ELT, in terms of computing power and memory available to store the data, reach and sometimes overcome the capacity of actual computers. In ESO, we have evaluated different hardware and software strategies to achieve MCAO simulations goals. Two codes have been developed to simulate MCAOS using an analytical and an end-to-end model. The goals and advantages/limitations of both approaches is shown. The hardware requirements for both methods is also given through the size of their largest matrices. And finally, results of hardware and software tests for MCAO simulations with PC--cluster and paralleled code are presented.