Abstract:
A method of controlling a semiconductor manufacturing process, the method comprising: obtaining first metrology data based on measurements performed after a first process step; obtaining second metrology data based on measurements performed after the first process step and at leastone additional process step; estimating a contribution to the process of: a) a control action which is at least partially based on the second metrology data and/or b) the at least one additional process step by using at least partially the second metrology data; and determining a Key Performance Indicator (KPI) or a correction for the first process step using the first metrology data and the estimated contribution.
Abstract:
A lithographic process is performed on a set of semiconductor substrates consisting of a plurality of substrates. As part of the process, the set of substrates is partitioned into a number of subsets. The partitioning may be based on a set of characteristics associated with a first layer on the substrates. A fingerprint of a performance parameter is then determined for at least one substrate of the set of substrates. Under some circumstances, the fingerprint is determined for one substrate of each subset of substrates. The fingerprint is associated with at least the first layer. A correction for the performance parameter associated with an application of a subsequent layer is then derived, the derivation being based on the determined fingerprint and the partitioning of the set of substrates.
Abstract:
Disclosed is a method of determining a correction for a process parameter related to a lithographic process on a substrate and associated apparatuses. The lithographic process comprises a plurality of runs during each one of which a pattern is applied to one or more substrates. The method comprises obtaining pre-exposure metrology data describing a property of the substrate; obtaining post- exposure metrology data comprising one or more measurements of the process parameter having been performed on one or more previously exposed substrates; assigning to the substrate, a group membership status from a one or more groups, based on said pre-exposure metrology data; and determining the correction for the process parameter based on said group membership status and said post-exposure metrology data.
Abstract:
Methods and apparatus for characterizing a semiconductor manufacturing process performed on a substrate. First data is obtained associated with fingerprint data of the substrate measured after a first process step. Second data is obtained associated with fingerprint data of the substrate measured after a second processing step. A statistical model is used to decompose the first and second data into a first class of fingerprint components mutually correlating between the first and second data and a second class of fingerprint components not mutually correlating between the first and second data. At least one of the first class fingerprint of components and the second class of fingerprint components are used to characterize the semiconductor manufacturing process.
Abstract:
There is disclosed a method for generating a sampling scheme for a device manufacturing process, the method comprising: obtaining a measurement data time series of a plurality of processed substrates; transforming the measurement data time series to obtain frequency domain data; determining, using the frequency domain data, a temporal sampling scheme; determining an error offset introduced by the temporal sampling scheme on the basis of measurements on substrates performed according to the temporal sampling scheme; and determining an improved temporal sampling scheme to compensate said error offset.
Abstract:
A lithographic process is performed on a plurality of semiconductor wafers (900; 1020). The method includes selecting one or more of the wafers as sample wafers (910-914; 1030-1034). Metrology steps (922; 1042) are performed only on the selected sample wafers. Based on metrology results (924; 046) of the selected sample product units corrections are defined for use in controlling processing of the wafers or future wafers. The selection of sample product units is based at least partly on statistical analysis of object data (902; 1006) measured in relation to the wafers. The same object data or other data can be used for grouping wafers into groups. Selecting of sample wafers can include selecting wafers (910-914; 1030-1034) that are identified by said statistical analysis as most representative of the wafers in their group. The selecting of sample wafers can include elimination of product units (916; 036) that are identified as unrepresentative.
Abstract:
A diagnostic apparatus monitors a lithographic manufacturing system. First measurement data representing local deviations of some characteristic across a substrate is obtained using sensors (202) within a lithographic apparatus, and/or a separate metrology tool (240). Other inspections tools (244, 248) perform wafer backside inspection to produce second measurement data (302). High- resolution backside defect image is processed into a form in which it can be compared with lower resolution information from the first measurement data. Cross-correlation is performed (CORR) to identify which of the observed defects are correlated spatially with the deviations represented in the first measurement data. A correlation map (506) is used to identify potentially relevant clusters of defects in the more detailed original defect map (520). The responsible apparatus can be identified by pattern recognition (PREC) as part of automated root cause analysis, alternatively, reticle inspection data may be used as second measurement data (302).