用于降低原位掩模污染源的材料分析技术

Harm Dillen, G. Rebel, Jennifer Massier, Dominika Grodzinka, R. Bruls
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引用次数: 0

摘要

在小颗粒(< 200 nm)上使用SEM-EDS分析是具有挑战性的,特别是在存在多种背景元素的衬底上。我们将展示一种结合三种技术的方法,从小粒子中获得最多的信息。该方法将低能能谱与非传统方法相结合,提高能谱和元素映射的统计性能。这种方法是ASML的EUV平台所需要的,NXE扫描仪可以继续对已经显示低缺陷计数的系统进行系统改进。关于颗粒缺陷的不良颗粒统计导致可用于诊断的颗粒数量有限,这意味着有关颗粒特征的所有信息都应用于诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Material analysis techniques used to drive down in-situ mask contamination sources
Using SEM-EDS analysis on small (< 200 nm) particles is challenging, especially on a substrate with multiple background elements present. We will show a methodology combining three techniques to get the most information out of small particles. This method combines low energy EDS with a nontraditional approach to improve statistics in EDS and elemental mapping. This methodology is required for ASML’s EUV platform, the NXE scanner to continue system improvement for a system showing already low defect count. The poor particle statistics on particle defects lead to a limited amount of particles available for diagnostics, which implies that all information on particle characteristics should be used for diagnostics.
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