摘要:
Methods for providing asymmetric control of process parameters are described. One such method includes receiving a data point for the process parameter relative to the wafer, selecting a first value for a process weighting factor when the data point is consistent with a first criteria, selecting a second value for the process weighting factor when the data point is consistent with a second criteria, where the second value is not equal to the first value, calculating an exponential weighted moving average of the process parameter based on the data point and the process weighting factor, updating the process parameter with the exponential weighted moving average, and using the updated process parameter to control the process and thereby treat the wafer. The methods can use one or more weighting factor switch limits to define different areas of risk associated with a target for the process parameter.
摘要:
A method for subaperture polishing includes determining a first portion of a sample to be polished disproportionately compared to a second portion of the sample. Based on the determination of the first portion, a sweep frequency that is a first rate of lateral motion for a polishing pad is selected to be substantially equal to an integer multiple of a rotation frequency that is a rate of rotation for the sample. The method further includes rotating the polishing pad at the polishing frequency, rotating the sample at the rotation frequency, and polishing the sample using the polishing pad while rotating the polishing pad and the sample.
摘要:
Methods for providing run to run process control using a dynamic tuner are provided. Once such method includes receiving a data point for a process output parameter, determining whether the data point is within a desired range for the process output parameter, setting, when the data point is within the desired range, a dynamic lambda value equal to a preselected base lambda value, setting, when the data point is not within the desired range, the dynamic lambda value equal to a value based on the preselected base lambda value, a degree of difference between the data point and a target for the process output parameter, and a scale factor, calculating an exponentially weighted moving average using the dynamic lambda value, and adjusting the process control parameter in accordance with the exponentially weighted moving average.