极紫外光刻
计量学
噪音(视频)
计算机科学
跟踪(心理语言学)
傅里叶变换
电子工程
鉴定(生物学)
物理
光学
工程类
人工智能
量子力学
生物
植物
图像(数学)
哲学
语言学
作者
Tatiana Kovalevich,Barbara Witek,Daniel W. Riggs,Joost Bekaert,Lieve Van Look,Mark J. Maslow
摘要
Controlling the Local CD Uniformity is important for the implementation of EUV lithography in high-volume production. Spatial frequency breakdown of stochastic effects and identification of stochastic noise contributors may help us to understand the current performance and suggest possibilities and pathways for future improvement. In this work, we look for potentially hidden sources of systematic local variability by collecting and analyzing CD metrology data over lengths greater than a single SEM field of view (FOV). Fourier analysis of the CD data is used to identify any systematic variability. This work will enable a more accurate breakdown of local variability. Additionally, using the length scale of any observed systematic signal we can attempt to trace back the origin and reduce or eliminate its source.
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