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首页> 外文期刊>IEEE Transactions on Semiconductor Manufacturing >Capture rate enhance method of 0.1-Μm level defects bypattern-matching inspectors
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Capture rate enhance method of 0.1-Μm level defects bypattern-matching inspectors

机译:图案匹配检测仪提高0.1微米水平缺陷的捕获率方法

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摘要

In this paper, a method of enhancing the capture rate of 0.1-Μmnlevel defects by pattern-matching inspectors is studied from thenviewpoint of image variances. By our method, defect inspection engineersncan obtain quantitative information for enhancing the capture rate ofn0.1-Μm level defects on both actual devices and test element groupsn(TEGs). The inspection sensitivities were experimentally evaluated bynusing the detection rate of the defects on an actual device and on thenTEG. The image noise and the defect signal of the capturedncharge-coupled device (CCD) images of the same defect werenquantitatively analyzed. The observed image noise and the defect signalnobey a normal distribution. The capture rate calculated by our model,nbased on normal distribution, almost agrees with the experimental data.nNext, we propose a new criterion called the “practical rapturenrate” by uniting the rapture rate and the false count. Thenthreshold value optimized from the viewpoint of the practical capturenrate agrees with empirical thresholds value set by our defect inspectionnengineers. Finally, as an example of capture rate enhancement, a uniquenTEG called TWICE (TEG with image contrast enhancing) for photoresistninspection is demonstrated
机译:从图像变异的角度出发,研究了一种通过模式匹配检测器提高0.1-Mmn水平缺陷捕获率的方法。通过我们的方法,缺陷检查工程师可以获取定量信息,以提高实际设备和测试元件组(TEG)上n0.1-μm级缺陷的捕获率。通过在实际设备上以及随后在TEG上检测缺陷的检测率,对实验的敏感性进行了实验评估。定量分析了同一缺陷的电荷耦合器件(CCD)图像的图像噪声和缺陷信号。观察到的图像噪声和缺陷信号呈正态分布。我们的模型基于正态分布计算出的捕获率n与实验数据基本吻合。n接下来,我们通过结合被提率和错误计数,提出了一个称为“实际被提率”的新标准。然后从实际捕获率的角度优化的阈值与我们的缺陷检查工程师设定的经验阈值一致。最后,作为提高捕获率的示例,展示了用于光阻检测的独特的称为TWICE(具有图像对比度增强功能的TEG)的TEG。

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