首页> 外文会议>16th Annual BACUS Symposium on Photomask Technology and Management >Comparison of reticle placement performance using two-point and multipoint fitting algorithms
【24h】

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比较掩模版放置性能

获取原文

摘要

Abstract: 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.!4
机译:摘要:光掩模和光罩制造中的两个关键性能参数是复合材料的放置和复合材料的覆盖。放置和覆盖误差的多点拟合通常用于指定打印工具的性能,而在掩模生产环境中更通常使用两点拟合。在这项研究中,使用蒙特卡洛模拟技术来比较使用两种方法可以预期的放置结果。掩模的成品率以最大观察误差为主要指标进行评估,因为该标准在行业中很普遍。检查了几个因素的影响,包括采样点数,测试图案的大小以及系统性打印错误的存在。基线测试用例包括一个7 $ MUL 7的点网格,其范围为132 nm正方形,具有两个附加的对齐标记,这些标记在x方向上分隔为144 mm,并且具有正态随机误差,标准偏差为$ sigma @。对于这种情况,两点对准在95%掩膜成品率下的预期最大误差约为4.5 $ sigma @和$ tau $ EQ 1.3,其中$ tau定义为两点与最大误差之比。多点拟合。预期的最大误差从对数上取决于采样点的数量,并且$ tau随着点数量的增加而减小。打印系统中的正弦系统误差大大降低了使用两点对齐方式时的成品率,但对使用多点对齐方式时的成品率影响相对较小。同样,打印和计量工具之间的正交性不匹配会导致$ tau显着增加,而比例尺不匹配会减少$ tau @。还证明了两点对准的结果比多点方法具有更大的统计不确定性,因此多点对准可以从一组有限的样本模板确定给定打印系统的预期性能时更加准确!4

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号