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Effects of Meshing, Solver Parameters and Post-processing on Aero-optical Image Quality Metric Modeling

机译：网格划分，求解器参数和后处理对航空光学图像质量度量模型的影响

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Environmental effects on the Image Quality (IQ) of the Thirty Meter Telescope (TMT) are estimated using Computational Fluid Dynamics (CFD) simulations. These simulations estimate, among others, refractive index fluctuations as well as wind jitter and blur. As the design matures, guidance obtained from these numerical experiments can influence significant cost-performance trade-offs and even component survivability. The stochastic nature of environmental conditions results in the generation of a large computational solution matrix in order to statistically predict Observatory Performance. Moreover, the relative contribution of selected key subcomponents to IQ increases the parameter space and thus computational cost, while dictating a reduced prediction error bar. The current study presents the strategy followed to minimize prediction time and computational resources, the subsequent physical and numerical limitations and finally the approach to mitigate the issues experienced. In particular, the paper describes the meshing methodology, a mesh-independence study and the effect of various numerical parameters and errors on the TMT IQ metric.
机译：使用计算流体动力学（CFD）模拟来估算三十米望远镜（TMT）的图像质量（IQ）的环境影响。这些仿真估计了折射率的波动以及风的抖动和模糊。随着设计的成熟，从这些数值实验获得的指导可能会影响重大的性价比折衷，甚至影响组件的生存能力。环境条件的随机性导致生成大的计算解决方案矩阵，以便统计地预测天文台性能。此外，所选关键子组件对IQ的相对贡献增加了参数空间，从而增加了计算成本，同时指示减少的预测误差线。当前的研究提出了最小化预测时间和计算资源的策略，随后的物理和数值限制，最后是减轻遇到的问题的方法。特别是，本文描述了网格划分方法，网格独立性研究以及各种数值参数和误差对TMT IQ度量的影响。

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