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Simulation Method Using the Image Filter Method

机译:使用图像滤波方法的模拟方法

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摘要

We conducted an experiment to determine if the use of image filter method for simulation that calculates the distribution of light intensity on a wafer can reduce processing time in comparison to the use of the Fourier transform. The image filter table value is set by changing the value of Gaussian distribution. The image filter method was approximated with the light intensity of optical simulation that keeps accuracy within the range of the allowance. In this experiment, we examined the differences between the distributions calculated using the Fourier transform and the calculation time by varying the sizes of the image filter tables. For the experiment, we used pattern data having a line width that used in the most advanced technology. When the area of pattern data was wide, the experiment revealed that use of the image filter method reduced calculation time by approximately 50% or more in comparison to a simulation that used the Fourier transform. As we decreased the size of the image filter tables, the calculation time became shorter, but the differences from the distribution calculated using the Fourier transform became larger. We intend to study the possibility of simulation by expanding the area of pattern data and using the image filter method for simulation-based OPC.
机译:我们进行了一项实验,以确定与使用傅立叶变换相比,使用图像滤波方法进行仿真来计算晶片上光强度的分布是否可以减少处理时间。通过更改高斯分布的值来设置图像滤镜表的值。图像过滤器方法是通过光学模拟的光强度来近似的,从而将精度保持在允许范围内。在本实验中,我们通过更改图像滤镜表的大小来检查使用傅立叶变换计算的分布与计算时间之间的差异。对于实验,我们使用了最先进技术中使用的具有线宽的图案数据。当图案数据的区域很宽时,实验表明,与使用傅立叶变换的模拟相比,使用图像滤波器方法可将计算时间减少约50%或更多。随着我们减小图像过滤器表的大小,计算时间变短,但是与使用傅立叶变换计算的分布的差异变大。我们打算通过扩展图案数据的面积并使用基于仿真的OPC的图像过滤器方法来研究仿真的可能性。

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