Computationally efficient autoregressive method for generating phase screens with frozen flow and turbulence in optical simulations.
Computationally efficient autoregressive method for generating phase screens with frozen flow and turbulence in optical simulations.
复制标题
计算高效的自回归方法，用于在光学模拟中生成具有冻结流动和湍流的相位屏幕。
作者：
S. Srinath;L. Poyneer;Alexander R. Rudy;S. Ammons
我们提出了一种基于样本的自回归（AR）方法，用于大气相位屏幕的生成和时间演变，该方法具有计算效率，并使用每个傅立叶模式的单个参数来改变冻结流和随机分量中包含的功率。我们解决了基于傅立叶的方法的局限性，如屏幕周期性和低空间频率功率含量。比较自适应光学（AO）模拟器在被馈AR相位屏和平移相位屏时的性能，发现在每个时间步长，随着随机含量的小幅增加，剩余闭环时间功率显著提高，从而显示了正确模拟大气“沸腾”的重要性。我们提出的初步证据表明，我们的模型拟合AO遥测比纯冻结流假设更好地反映了实际情况。
We present a sample-based, autoregressive (AR) method for the generation and time evolution of atmospheric phase screens that is computationally efficient and uses a single parameter per Fourier mode to vary the power contained in the frozen flow and stochastic components. We address limitations of Fourier-based methods such as screen periodicity and low spatial frequency power content. Comparisons of adaptive optics (AO) simulator performance when fed AR phase screens and translating phase screens reveal significantly elevated residual closed-loop temporal power for small increases in added stochastic content at each time step, thus displaying the importance of properly modeling atmospheric "boiling". We present preliminary evidence that our model fits to AO telemetry are better reflections of real conditions than the pure frozen flow assumption.