DETERMINING AN OPTIMAL OPERATIONAL PARAMETER SETTING OF A METROLOGY SYSTEM

    公开(公告)号:US20190250523A1

    公开(公告)日:2019-08-15

    申请号:US16344831

    申请日:2017-10-17

    Abstract: A method of determining an optimal operational parameter setting of a metrology system is described. Free-form substrate shape measurements are performed. A model is applied, transforming the measured warp to modeled warp scaling values. Substrates are clamped to a chuck, causing substrate deformation. Alignment marks of the substrates are measured using an alignment system with four alignment measurement colors. Scaling values thus obtained are corrected with the modeled warp scaling values to determine corrected scaling values. An optimal alignment measurement color is determined, based on the corrected scaling values. Optionally, scaling values are selected that were measured using the optimal alignment measurement color and a substrate grid is determined using the selected scaling values. A substrate may be exposed using the determined substrate grid to correct exposure of the substrate.

    METHODS AND COMPUTER PROGRAMS FOR DATA MAPPING FOR LOW DIMENSIONAL DATA ANALYSIS

    公开(公告)号:US20240369943A1

    公开(公告)日:2024-11-07

    申请号:US18576441

    申请日:2022-06-21

    Abstract: Methods, systems, and apparatus for mapping high dimensional data related to a lithographic apparatus, etch tool, metrology tool or inspection tool to a lower dimensional representation of the data. High dimensional data is obtained related to the apparatus. The high dimensional data has first dimensions N greater than two. A nonlinear parametric model is obtained, which has been trained to map a training set of high dimensional data onto a lower dimensional representation. The lower dimensional representation has second dimensions M, wherein Mis less than N. The model has been trained using a cost function configured to make the mapping preserve local similarities in the training set of high dimensional data. Using the model, the obtained high dimensional data is mapped to the corresponding lower dimensional representation.

    APPARATUS AND METHOD FOR PROPERTY JOINT INTERPOLATION AND PREDICTION

    公开(公告)号:US20220083834A1

    公开(公告)日:2022-03-17

    申请号:US17423658

    申请日:2019-12-12

    Abstract: A method for predicting a property associated with a product unit. The method may include: obtaining a plurality of data sets, wherein each of the plurality of data sets includes data associated with a spatial distribution of a parameter across the product unit; representing each of the plurality of data sets as a multidimensional object; obtaining a convolutional neural network model trained with previously obtained multidimensional objects and properties of previous product units; and applying the convolutional neural network model to the plurality of multidimensional objects representing the plurality of data sets, to predict the property associated with the product unit.

    DETERMINING AN OPTIMAL OPERATIONAL PARAMETER SETTING OF A METROLOGY SYSTEM

    公开(公告)号:US20210018852A1

    公开(公告)日:2021-01-21

    申请号:US17032249

    申请日:2020-09-25

    Abstract: A method of determining an optimal operational parameter setting of a metrology system is described. Free-form substrate shape measurements are performed. A model is applied, transforming the measured warp to modeled warp scaling values. Substrates are clamped to a chuck, causing substrate deformation. Alignment marks of the substrates are measured using an alignment system with four alignment measurement colors. Scaling values thus obtained are corrected with the modeled warp scaling values to determine corrected scaling values. An optimal alignment measurement color is determined, based on the corrected scaling values. Optionally, scaling values are selected that were measured using the optimal alignment measurement color and a substrate grid is determined using the selected scaling values. A substrate may be exposed using the determined substrate grid to correct exposure of the substrate.

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