Point spread function reconstruction simulations for laser guide star multi-conjugate adaptive optics on extremely large telescopes
Point spread function reconstruction simulations for laser guide star multi-conjugate adaptive optics on extremely large telescopes
复制标题
超大望远镜上激光导星多共轭自适应光学器件的点扩散函数重建模拟
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
C. Boyer
中科院分区：
文献类型：
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作者：
L. Gilles;L. Wang;C. Boyer
本文讨论了超大望远镜上激光导星（LGS）多共轭自适应光学（MCAO）的点扩展函数重建（PSFR）仿真。用于模拟30米望远镜（TMT）窄视场红外自适应光学系统（NFIRAOS）的多线程自适应光学模拟器（MAOS）提供了模拟遥测。对于Mauna Kea湍流条件中值（0.55弧秒）和预期的NFRIAOS激光导星（LGS）波前传感器（WFS）测量噪声，假设完全了解湍流和风廓线以及测量噪声，基于执行器误差的PSFR算法导致Strehl Ratio （SR）、封闭能量（EE）和PSF廓线误差在z波段低于8%，在j波段低于5%，在k波段低于2%。进一步的算法优化原则上可以降低这一残差水平。
This paper discusses point spread function reconstruction (PSFR) simulations for laser guide star (LGS) multi-conjugate adaptive optics (MCAO) on extremely large telescopes (ELTs). The Multithreaded Adaptive Optics Simulator (MAOS), configured to simulate the Thirty Meter Telescope (TMT) Narrow Field InfraRed Adaptive Optics System (NFIRAOS), provided simulated telemetry. For median Mauna Kea turbulence conditions (0.55arcsec seeing) and for the expected NFRIAOS laser guide star (LGS) wavefront sensor (WFS) measurement noise, the actuator error based PSFR algorithm leads to Strehl Ratio (SR), enclosed energy (EE) and PSF profile errors below 8% in Z-band, 5% in J-band and 2% in Kband assuming perfect knowledge of the turbulence and wind profiles and of measurement noise. Further algorithm optimization could in principle reduce this residual error level.