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Updated: Jul 16, 2025

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Scattering And Absorption of Light in Planetary Regoliths
Published on: July 1, 2019
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用有限散射器的参数化空间光谱体积积积方程进行反向散射
概括
高斯-牛顿方法使用先前的信息和详细的散射器模型精确地重建晶圆结构. 这种方法提供了强大的,准确的结果,即使在杂的数据,改进了传统的成像技术.
科学领域:
- 半导体制造业 半导体制造业
- 光学计量学是指光学计量学.
- 计算电磁学的计算.
背景情况:
- 晶圆计量学依赖于来自光罩和沉积过程的近似信息.
- 对3D结构和材料特性进行精确的表征对于半导体制造至关重要.
研究的目的:
- 为了证明高斯-牛顿方法用于精确,噪声强大的晶圆结构的重建.
- 在没有额外的反向问题规范化的情况下评估方法的性能.
主要方法:
- 建模结构作为具有多边形截面的3D有限介电散射器.
- 采用连续参数化的允许度和多边形顶点.
- 使用带有加博框架和一致参数化的空间光谱麦克斯韦解析器.
主要成果:
- 实现了噪声强度参数重建,几何误差低于 λ/7 在 -3 dB SNR.
- 重建的几何参数有~λ/60的误差,材料属性有~0.03%的误差在10dB SNR.
- 与传统成像方法相比,表现出优越的性能.
结论:
- 高斯-牛顿法使得使用先前信息能够准确地重建晶圆结构.
- 麦克斯韦解决器的连续性属性和参数化是方法成功的关键.
- 这种技术提高了晶圆计量学中的精度和噪声强度.
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