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A method for removing spurious fringes based on characteristic spectrum band-stop filter

机译:一种基于特征频谱带式停止滤波器去除虚假条纹的方法

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In the interference test process of a parallel flat optical element, the light beam after multiple reflections on the front and rear surfaces of the element with the wavefront to be measured often cause multi-surface interference, forming spurious fringes on the interferogram, which will introduce large errors to the wavefront measurement. Spurious fringes mainly have a great impact on the parameters such as wavefront gradient root mean square (GRMS) and mid-spatial-frequency power spectral density (PSD). The RMS value of the wavefront containing spurious fringes is generally significantly larger than the true value, which will affect the accurate measurement and evaluation of the wavefront quality of optical components. Existing spurious fringes suppression methods often have the disadvantages of multiple adjustment steps in the test process or high hardware requirements, and it is difficult to match the requirements for rapid and high-efficiency test of high-precision optical flat components. This paper proposes a method for removing spurious fringes in interference test based on characteristic spectrum band-stop filter, which can achieve accurate removal of spurious fringes. First, by using the ZoomFFT algorithm to zoom up the spectrum of the wavefront data points, the effective identification of the spectral characteristics of the spurious fringe is realized; then the band-stop filter in a specific area is used according to the spectral characteristics of the spurious fringes, only the frequency spectrum of the spurious fringes is removed, and the wavefront data of the component to be tested is completely retained without changing its own shape; the Quad-Flip operation and error function filter window are used for spectrum filtering, which effectively reduces Gibb's noise in the frequency domain due to the sudden truncation of the input data edge during FFT transformation. The transmitted wavefront of a fused silica element with a diameter of Φ100mm was tested on the ZYGO static interferometer, and the test results contained a large number of spurious fringes. After processing by this method, the spurious fringes were removed. The mid-spatial-frequency wavefront RMS of the component is reduced from 5.365nm to 3.678nm. The method does not need to add additional hardware and tedious measurement and adjustment operations, the calculation is fast, and the spurious fringes removal is accurate.
机译:在平行平坦光学元件的干扰测试过程中,在元件的前表面和后表面的多次反射之后的光束通常会导致多表面干扰,在干扰图上形成虚假条纹,将引入对波前测量的大错误。虚假条纹主要对波前梯度根均线(GRM)和中间空间频率功率谱密度(PSD)等参数产生很大影响。包含杂散边缘的波前的RMS值通常明显大于真实值,这将影响光学组件的波前质量的准确测量和评估。现有的虚假条纹抑制方法通常具有测试过程中多种调整步骤的缺点或高硬件要求,并且难以匹配高精度光学平板部件的快速和高效测试的要求。本文提出了一种基于特征谱带停止滤波器去除干扰测试中的虚假条纹的方法,这可以实现精确地去除杂散的条纹。首先,通过使用Zoomfft算法来缩放波前数据点的频谱,实现了杂散边缘的光谱特性的有效识别;然后根据虚假条纹的光谱特性使用特定区域中的带式停止滤波器,仅移除杂散条纹的频谱,并且待测试的部件的波前数据完全保留而不改变其自身形状; Quad-FLIP操作和错误功能过滤窗口用于频谱滤波,其由于在FFT变换期间,由于输入数据边缘的突然截断而有效地降低了频域中的频域的噪声。在Zygo静态干涉仪上测试了直径φ100mm的熔融二氧化硅元素的透射波形,并且测试结果包含了大量的杂散条纹。通过这种方法加工后,除去了杂散的条纹。该组件的中间空间频率波前rms从5.365nm降至3.678nm。该方法不需要增加额外的硬件和繁琐的测量和调整操作,计算快速,杂散的条纹拆卸是准确的。

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