Data Analysis using Stone Pillar SuiteTM DataAnalyzer

DataAnalyzer automatically creates an interactive data control environment that is tailored to the device variations, design rule variations, and process experimental variations particular to the data set under review. For example, if you are reviewing a set of experimental data that includes process variations for an implant energy, the available values for implant energy will automatically appear as controls when reviewing the data.

Using these controls, it is a simple matter within DataAnalyzer to isolate the devices and process flow of interest and quickly draw solid conclusions about the importance of experimental or geometric variations within a data set.



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