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Comparison of reticle placement performance using two-point and multipoint fitting algorithms

机译:使用两点和多点拟合算法的掩模版放置性能的比较

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Two of the key performance parameters in the manufacture of photomasks and reticles are composite placement and composite overlay. Multipoint fitting of the placement and overlay errors is typically used in specifying the performance of the printing tool, whereas two-point fitting is more commonly used in the mask-production environment. In this study, Monte Carlo simulation techniques are used to compare the placement results that may be expected using the two methods. Mask yields are evaluated sing the maximum observed error as the primary metric, because this criterion is prevalent in the industry. The influence of several factors is examined, including number of sample points, size of test pattern, and the presence of systematic printing errors. The baseline test case consists of a 7 $MUL 7 grid of points with an extent of 132-nm square with two additional alignment marks separated in the x direction by 144 mm, and random normally distributed errors with standard deviation $sigma@. For this case, the expected maximum error at 95% mask yield from a two-point alignment is approximately 4.5 $sigma@, and $tau $EQ 1.3, where $tau is defined as the ratio of the maximum error for two-point versus multipoint fitting. The expected maximum error depends logarithmically on the number of sample points, and $tau decreases as the number of points increases. A sinusoidal systematic error in the printing system greatly degrades the yield using two-point alignment but has relatively little effect upon the yield using multipoint alignment. Similarly, an orthogonality mismatch between the printing and metrology tool causes $tau to increase significantly, whereas a scale mismatch decreases $tau@. It is also demonstrated that the result from two-point alignment has more statistical uncertainty than that from the multipoint methodology, and thus multipoint alignment is more accurate in determining the expected performance of a given printing system from a limited set of sample masks.
机译:在光掩模和掩模中制造的两个关键性能参数是复合放置和复合材料覆盖层。 MultiPoint拟合放置和覆盖误差通常用于指定打印工具的性能,而两点拟合更常用于掩模生产环境中。在本研究中,蒙特卡罗模拟技术用于比较可以使用这两种方法预期的放置结果。掩模产量被评估唱最大观察到的误差作为主要指标,因为该标准在行业中普遍存在。检查若干因素的影响,包括样品点数,试验模式的大小以及系统印刷误差的存在。基线测试案例由一个7 $ MUL 7网格组成,一个点的点为132纳米正方形,其中两个附加对准标记在x方向上分开144 mm,以及标准偏差$ SIGMA @的随机正常分布的误差。对于这种情况,从两点对齐的95%掩码产量下的预期最大误差约为4.5 $ Sigma @,以及$ tau $ eq 1.3,其中$ tau被定义为两点与误差的比率多点拟合。预期的最大误差依赖于对数上的样本点的数量,并且随着点数增加,$ TAU减少。印刷系统中的正弦系统误差大大降低了使用两点对准的产量,但使用多点对准对产量的影响相对较小。同样,印刷和计量工具之间的正交性失配导致TAU显着增加,而尺度不匹配会降低$ tau @。还证明,来自两点对准的结果具有比来自多点方法的统计不确定性更高,因此多点对准在确定从有限的一组样品掩模确定给定打印系统的预期性能更准确。

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