Model-based optimization of near-field binary-pixelated beam shapers.
Model-based optimization of near-field binary-pixelated beam shapers.
复制标题
基于模型的近场二元像素化光束整形器优化。
作者：
C. Dorrer;J. Hassett
证明了依赖于透明或不透明像素的空间抖动分布和具有用于传输控制的远场滤波的成像系统的组件的优化。可以迭代地优化二进制像素分布以降低考虑设计传输和所需远场滤波器的特性的误差函数。使用在高能量激光器的上下文中选择的设计透射的模拟示出了在图像平面处的光束通量调制可以被减小2倍，导致类似于使用非优化的空间抖动算法的性能，其中像素的尺寸被减小2倍，而没有额外的制造复杂性或成本。优化过程保留了像素分布统计特性。分析表明，从随机绘制算法定义的高噪声分布开始的优化像素分布应该比从低噪声、误差扩散算法开始的优化像素分布更能适应制造误差，同时导致类似的光束整形性能。这是证实了与各种像素分布和诱导的制造误差所获得的实验结果。
The optimization of components that rely on spatially dithered distributions of transparent or opaque pixels and an imaging system with far-field filtering for transmission control is demonstrated. The binary-pixel distribution can be iteratively optimized to lower an error function that takes into account the design transmission and the characteristics of the required far-field filter. Simulations using a design transmission chosen in the context of high-energy lasers show that the beam-fluence modulation at an image plane can be reduced by a factor of 2, leading to performance similar to using a non-optimized spatial-dithering algorithm with pixels of size reduced by a factor of 2 without the additional fabrication complexity or cost. The optimization process preserves the pixel distribution statistical properties. Analysis shows that the optimized pixel distribution starting from a high-noise distribution defined by a random-draw algorithm should be more resilient to fabrication errors than the optimized pixel distributions starting from a low-noise, error-diffusion algorithm, while leading to similar beam-shaping performance. This is confirmed by experimental results obtained with various pixel distributions and induced fabrication errors.