用于半导体加工的等离子体诊断

H. Anderson
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引用次数: 6

摘要

调频红外二极管激光吸收光谱(IRLAS)和基于全光谱ccd的光学发射光谱(OES)是两种强大的等离子体诊断新工具。本报告重点介绍了这些诊断在半导体制造等离子蚀刻加工中的应用。特别是,IRLAS在测量氟碳高密度等离子体放电氧化蚀刻过程中形成的气相自由基的绝对浓度方面得到了广泛的应用。在氧化物衬底蚀刻过程中形成的痕量反应物和产物的绝对浓度的知识对于预测这种复杂的等离子体表面相互作用的行为是重要的。这些测量是等离子体蚀刻模型开发程序中的关键元素,旨在验证这一复杂过程的计算机模拟模型。另一方面,全光谱OES是一种更成熟的技术,在端点和故障检测等日常半导体晶圆厂等离子体处理操作中得到了应用。随着CCD传感器和微机械衍射光栅的发展,已经有可能构建安装在计算机板上的小型化光谱仪,从而可以快速获取等离子体的完整紫外-可见光发射光谱。通过将光谱仪与快速便携式计算机集成,可以实时对该全光谱数据库进行化学计量多元统计分析。结合起来,这些技术已被证明为实时检测过程终点和过程故障检测信息提供了优越的灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plasma diagnostics for semiconductor processing
Frequency-modulated infrared diode laser absorption spectroscopy (IRLAS) and full-spectrum CCD-based optical emission spectroscopy (OES) are two powerful new tools for plasma diagnostics. This presentation focuses on the use of these diagnostics in plasma etch processing used for semiconductor manufacturing. In particular, IRLAS is finding extensive use in measuring absolute concentrations of gas phase radicals formed in the oxide etch process performed with fluorocarbon high-density plasma discharges. Knowledge of the absolute concentrations of reactant and product species formed in trace amounts during etching of oxide substrates is important for predicting the behavior of this complex plasma-surface interaction. These measurements are a critical element in a program for plasma etch model development, and are intended for validating computer simulation models of this complex process. Full-spectrum OES on the other hand is a more mature technology that is finding application in day-to-day semiconductor fab plasma processing operations like end-point and fault detection. With the development of CCD sensors and micromachined diffraction gratings, it has been possible to build miniaturized spectrometers mounted on computer boards that allow rapid acquisition of the complete UV-visible optical emission spectrum of the plasma. Chemometric multivariate statistical analysis of this full-spectrum database in real time is made possible by integrating the spectrometer with a fast portable computer. In combination, these techniques have been shown to provide superior sensitivity for detecting process end-point in real-time and information for process fault detection.
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