Previous layer nuisance reduction through oblique illumination

    公开(公告)号:US10818005B2

    公开(公告)日:2020-10-27

    申请号:US16293599

    申请日:2019-03-05

    Abstract: Methods and systems for determining a layer on which a defect detected on a wafer is located are provided. One method includes detecting defects on a wafer by directing light to the wafer at first and second angles of incidence and determining locations of the defects on the wafer based on the output corresponding to the defects. For one of the defects detected in the output generated for one spot illuminated on the wafer with the light directed to the wafer at the first and second angles, the method includes comparing the locations of the one of the defects determined based on the output generated with the light directed to the one spot on the wafer at the first and second angles. The method further includes determining a layer of the wafer on which the one of the defects is located based on results of the comparing.

    Repeater Defect Detection
    42.
    发明申请

    公开(公告)号:US20200240928A1

    公开(公告)日:2020-07-30

    申请号:US16845681

    申请日:2020-04-10

    Abstract: Defects from a hot scan can be saved, such as on persistent storage, random access memory, or a split database. The persistent storage can be patch-based virtual inspector virtual analyzer (VIVA) or local storage. Repeater defect detection jobs can determined and the wafer can be inspected based on the repeater defect detection jobs. Repeater defects can be analyzed and corresponding defect records to the repeater defects can be read from the persistent storage. These results may be returned to the high level defect detection controller.

    Performance monitoring of design-based alignment

    公开(公告)号:US10698325B2

    公开(公告)日:2020-06-30

    申请号:US16400756

    申请日:2019-05-01

    Inventor: Bjorn Brauer

    Abstract: Alignment can be monitored by positioning at least one alignment verification location per alignment frame. The alignment verification location is a coordinate within the alignment frame. A distance between each of the alignment verification locations and a closest instance of an alignment target is determined. An alignment score can be determined based on the distance. The alignment score can include a number of the alignment frames between the alignment verification location and the alignment target. If the alignment score is below a threshold, then alignment setup can be performed.

    High sensitivity repeater defect detection

    公开(公告)号:US10395358B2

    公开(公告)日:2019-08-27

    申请号:US15804980

    申请日:2017-11-06

    Abstract: Systems and methods for detecting defects on a reticle are provided. One system includes computer subsystem(s) that include one or more image processing components that acquire images generated by an inspection subsystem for a wafer, a main user interface component that provides information generated for the wafer and the reticle to a user and receives instructions from the user, and an interface component that provides an interface between the one or more image processing components and the main user interface. Unlike currently used systems, the one or more image processing components are configured for performing repeater defect detection by applying a repeater defect detection algorithm to the images acquired by the one or more image processing components, and the repeater defect detection algorithm is configured to detect defects on the wafer using a hot threshold and to identify the defects that are repeater defects.

    Defect signal to noise enhancement by reducing die to die process noise

    公开(公告)号:US10186028B2

    公开(公告)日:2019-01-22

    申请号:US15352664

    申请日:2016-11-16

    Abstract: Gray level histograms for a test image and a reference image are adjusted by histogram scaling. Parameters from the histogram scaling are applied to the test image and the reference image. After the parameters are applied, the reference image and the test image are compared to produce a difference image, such as by subtracting the reference image from the test image. Noise in the difference image can be reduced, which improves defect identification in the difference image. In addition, noisy structures in the difference image which are elongated in vertical or horizontal direction can be found. If the noise exceeds a certain threshold, the structures may not be inspected.

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