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Analysis of a Wafer Overlay Projection Algorithm for usein Lot Disposition

机译:用于批量处理的晶圆叠置投影算法的分析

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The decision to rework a wafer, or a batch of wafers, is based on the expectation that thernresulting quality of the reprocessed wafers will be better and produce higher yield. Forrnlot disposition specific to layer-to-layer registration, the decision criteria are generallyrnbased on a comparison of recorded overlay errors to tolerances or specificationsrnestablished during design of the device. In most fabrication facilities the mean andrnstandard deviations of the measured overlay is used to monitor the lithography processrnand the "Mean + 3 Sigma" parameter used as an estimation of the maximum registrationrnerror. However, this procedure is conservative and typically overestimates the maximumrnerror, potentially resulting in excess rework.rnIn this paper a novel approach to lot dispositioning is outlined and analyzed. With thisrnprocedure the wafers are measured using a standard sampling map, the systematic gridrnand field errors modeled and residuals resolved. The systematic errors are then projectedrnover the wafer to each die location, establishing a registration offset for each device.rnRandom errors are estimated by applying the distribution of residual data to each of thernprojected error vectors. This creates a distribution of possible registration errors for eachrndevice within the wafer and a comparison of these to product specifications is used torndevelop a probability assessment whether each die will meet process overlayrnrequirements. This procedure is supported by a commercially ava ilable software packagerndeveloped by itemic, AG and based on 3 months of production data, the effectiveness ofrnthis disposition criterion on prediction of wafer yield, will be presented. As thisrntechnique models the systematic errors and projects them across each wafer it can bernextended to prediction of the best achievable overlay if wafers were reworked. Thisrn"corrected" analysis is then used as a gauge in determining if reworking makes sense,rnreducing rework cycles of problem lots with non-correctable errors such as those withrnwafer warpage.
机译:对晶片或一批晶片进行返工的决定是基于这样的期望,即重新加工的晶片的最终质量会更好,并产生更高的良率。特定于层到层配准的Fornlot配置,通常基于记录的覆盖错误与在设备设计期间建立的公差或规格的比较来确定决策标准。在大多数制造设备中,被测覆盖层的均值和标准偏差用于监视光刻工艺,“ Mean + 3 Sigma”参数用作最大配准误差的估计。但是,此过程是保守的,通常会高估最大误差,从而可能导致过多的返工。本文概述并分析了一种新颖的批处理方法。通过此程序,可使用标准采样图测量晶圆,对系统的网格和场误差进行建模,并消除残留物。然后,将系统误差投影到晶圆上的每个管芯位置,为每个设备建立配准偏移。通过将残差数据的分布应用于每个投影误差矢量来估计随机误差。这将为晶圆内的每个设备创建可能的配准误差分布,并将这些配准与产品规格进行比较,以开发出概率评估,以评估每个管芯是否将满足工艺覆盖要求。该程序得到了由itemic,AG开发的商业上可用的软件包的支持,并基于3个月的生产数据,将介绍该配置标准对晶片产量的预测的有效性。随着这项技术对系统误差进行建模并将其投影到每个晶圆上,如果对晶圆进行了返工,可以将其扩展为预测最佳可实现的覆盖层。然后,这种“校正”分析被用作确定返工是否有意义的标准,从而减少了具有不可校正错误(如晶圆翘曲的问题)的问题批次的返工周期。

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