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Bias-Free Measurement of LER/LWR with Low Damage by CD-SEM

机译:通过CD-SEM对LER / LWR进行无偏差测量且损伤小

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We propose a new method for the evaluation of line-edge or linewidth roughness (LER/LWR). Conventional, directly measured LER/LWR values always contain a random noise contribution, which is called LER/LWR bias. Our method can separate this bias artifact from the true LER/LWR by using a single image of the sample pattern. The idea is based on the dependency of a measured LER/LWR value on the image-processing parameter for noise reduction. Both, the conventional and the new bias-free LER were calculated on series of images with different frame integration numbers but a fixed field of view. In addition, the validity of this method to the gate-LWR measurement on an ArF resist line pattern was examined. The LER/LWR obtained by our method was independent of the frame number, and agreed with the conventional LER/LWR as measured on an image with a sufficiently large frame-number. That is, our method can evaluate LER/LWR without random-noise contribution, suggesting that the method can be applied to images recorded under low-sample-damage conditions (i.e., low signal-to-noise ratio). It is concluded that the proposed bias-free LER/LWR measurement method will be a powerful tool in lithography metrology especially for achieving practical and accurate LER/LWR measurement with low sample damage.
机译:我们提出了一种评估线边缘或线宽粗糙度(LER / LWR)的新方法。常规的,直接测量的LER / LWR值始终包含随机噪声贡献,这称为LER / LWR偏置。我们的方法可以通过使用样本模式的单个图像将这种偏差伪像与真正的LER / LWR分开。这个想法是基于测得的LER / LWR值对图像处理参数的依赖性,以降低噪声。传统和新的无偏差LER都是基于具有不同帧积分数但视野固定的一系列图像计算的。另外,检验了该方法对在ArF抗蚀剂线图案上进行栅极LWR测量的有效性。通过我们的方法获得的LER / LWR与帧数无关,并且与在具有足够大的帧数的图像上测量的常规LER / LWR一致。也就是说,我们的方法可以评估LER / LWR而没有随机噪声贡献,这表明该方法可以应用于在低样本损害条件下(即低信噪比)记录的图像。结论是,所提出的无偏差LER / LWR测量方法将是光刻计量学中的有力工具,特别是在实现实用且准确的LER / LWR测量且样品损坏较少的情况下。

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