Abstract:
A method of characterizing distortions in a lithographic process, and associated apparatuses. The method includes obtaining measurement data corresponding to a plurality of measurement locations on a substrate, the measurement data comprising measurements performed on a plurality of substrates, and comprising one or more measurements performed on one or more of the substrates for each of the measurement locations. For each of the measurement locations, a first quality value representing a quality metric and a noise value representing a noise metric is determined from the measurements performed at that measurement location. A plurality of distortion parameters is determined, each distortion parameter configured to characterize a systematic distortion in the quality metric and a statistical significance of the distortion parameters from the first quality value and from the noise value is determined. Systematic distortion is parameterized from the distortion parameters determined to be statistically significant.
Abstract:
In the measurement of properties of a wafer substrate, such as Critical Dimension or overlay a sampling plan is produced 2506 defined for measuring a property of a substrate, wherein the sampling plan comprises a plurality of sub-sampling plans. The sampling plan may be constrained to a predetermined fixed number of measurement points and is used 2508 to control an inspection apparatus to perform a plurality of measurements of the property of a plurality of substrates using different sub-sampling plans for respective substrates, optionally, the results are stacked 2510 to at least partially recompose the measurement results according to the sample plan.
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:
A method for improving the yield of a lithographic process, the method including: determining a parameter fingerprint of a performance parameter across a substrate, the parameter fingerprint including information relating to uncertainty in the performance parameter; determining a process window fingerprint of the performance parameter across the substrate, the process window being associated with an allowable range of the performance parameter; and determining a probability metric associated with the probability of the performance parameter being outside an allowable range. Optionally a correction to the lithographic process is determined based on the probability metric.
Abstract:
A substrate processing apparatus includes a substrate loading device configured to load a substrate in a predetermined orientation relative to a grid, having a X-axis and an orthogonal Y-axis, associated with a layout of fields on the substrate; and corrective elements configured to enable local correction of a characteristic of a process performed on a substrate, wherein the corrective elements are arranged along at least one axis having a direction other than parallel to the X-axis or the Y-axis of the grid.
Abstract:
A method of calculating process corrections for a lithographic tool, and associated apparatuses. The method comprises measuring process defect data on a substrate that has been previously exposed using the lithographic tool; fitting a process signature model to the measured process defect data, so as to obtain a model of the process signature for the lithographic tool; and using the process signature model to calculate the process corrections for the lithographic tool.
Abstract:
Disclosed is a method for determining a process correction for at least a first process of a lithographic process, comprising at least the first process performed on at least a first substrate using at least a first apparatus and a second process performed on at least said first substrate using at least a second apparatus, where a correction actuation capability of the first apparatus differs from the second apparatus, comprising: obtaining metrology data relating to said first substrate; modeling said metrology data using a first model, the model being related to said first apparatus; and controlling said first process based on the modeled metrology data; the modeling step and/or an additional processing step comprises distributing a penalty in a performance parameter across said first process and said second process such that the distributed penalties in the performance parameter are within their respective specifications of the performance parameter.
Abstract:
A method of processing measurement data relating to a substrate processed by a manufacturing process. The method includes obtaining measurement data relating to a performance parameter for at least a portion of the substrate; and fitting the measurement data to a model by minimizing a complexity metric applied to fitting parameters of the model while not allowing the deviation between the measurement data and the fitted model to exceed a threshold value.
Abstract:
A method, involving determining a first distribution of a first parameter associated with an error or residual in performing a device manufacturing process; determining a second distribution of a second parameter associated with an error or residual in performing the device manufacturing process; and determining a distribution of a parameter of interest associated with the device manufacturing process using a function operating on the first and second distributions. The function may include a correlation.
Abstract:
A method includes obtaining, for each particular feature of a plurality of features of a device pattern of a substrate being created using a patterning process, a modelled or simulated relation of a parameter of the patterning process between a measurement target for the substrate and the particular feature; and based on the relation and measured values of the parameter from the metrology target, generating a distribution of the parameter across at least part of the substrate for each of the features, the distribution for use in design, control or modification of the patterning process.