Abstract: Methods and systems for determining a position of inspection data with respect to a stored high resolution die image are provided. One method includes aligning data acquired by an inspection system for alignment sites on a wafer with data for predetermined alignment sites. The predetermined alignment sites have a predetermined position in die image space of a stored high resolution die image for the wafer. The method also includes determining positions of the alignment sites in the die image space based on the predetermined positions of the predetermined alignment sites in the die image space. In addition, the method includes determining a position of inspection data acquired for the wafer by the inspection system in the die image space based on the positions of the alignment sites in the die image space.

Abstract: Methods and systems for determining wafer inspection coordinates for fixed location(s) on a wafer are provided. One system includes an illumination subsystem configured to direct light to a spot on an edge of a wafer. The spot extends beyond the edge of the wafer. The system also includes a stage that rotates the wafer thereby causing the spot to be scanned over the edge of the wafer. The system also includes a detector configured to detect light from the spot while the spot is being scanned over the edge and to generate output responsive thereto. The system further includes a computer processor configured to determine wafer inspection coordinates of two or more locations on the edge of the wafer based on the output and to determine wafer inspection coordinates of fixed location(s) on the wafer based on the wafer inspection coordinates of the two or more locations on the edge.

Abstract: Various embodiments for determining parameters for wafer inspection and/or metrology are provided.

Abstract: Systems and methods for detecting defects on a wafer are provided. One method includes determining locations of all instances of a weak geometry in a design for a wafer. The locations include random, aperiodic locations. The weak geometry includes one or more features that are more prone to defects than other features in the design. The method also includes scanning the wafer with a wafer inspection system to thereby generate output for the wafer with one or more detectors of the wafer inspection system. In addition, the method includes detecting defects in at least one instance of the weak geometry based on the output generated at two or more instances of the weak geometry in a single die on the wafer.

Abstract: Methods and systems for detection of selected defects in relatively noisy inspection data are provided. One method includes applying a spatial filter algorithm to inspection data acquired across an area on a substrate to determine a first portion of the inspection data that has a higher probability of being a selected type of defect than a second portion of the inspection data. The selected type of defect includes a non-point defect. The inspection data is generated by combining two or more raw inspection data corresponding to substantially the same locations on the substrate. The method also includes generating a two-dimensional map illustrating the first portion of the inspection data. The method further includes searching the two-dimensional map for an event that has spatial characteristics that approximately match spatial characteristics of the selected type of defect and determining if the event corresponds to a defect having the selected type.

Abstract: Methods and systems for setting up a wafer inspection process using programmed defects are provided. One method includes altering a design for a dummy area of a production chip such that printing of the dummy area on a wafer results in printing of a variety of defects. Two or more of the defects have different types, one or more different characteristics, different contexts in the design, or a combination thereof. The dummy area printed on a wafer may then be scanned with two or more optical modes of an inspection system to determine which of the optical mode(s) are better for defect detection. Additional areas of the wafer may then be scanned with the optical mode(s) that are better for defect detection to determine noise information. The noise information may then be used to select one or more of the optical modes for use in a wafer inspection process.

Abstract: Various embodiments for detecting defects on a wafer are provided. Some embodiments include matching a template image, in which at least some pixels are associated with regions in the device having different characteristics, to output of an electron beam inspection system and applying defect detection parameters to pixels in the output based on the regions that the pixels in the output are located within to thereby detect defects on the wafer.

Abstract: Computer-implemented methods, computer-readable media, and systems for selecting one or more parameters for a defect detection method are provided. One method includes selecting one or more parameters of a defect detection method using an optimization function and information for a set of classified defects, which includes defects of interest and nuisance defects, such that the one or more parameters satisfy an objective for the defect detection method.

Abstract: Methods and systems for design based sampling and binning for yield critical defects are provided. One method includes aligning each image patch in each inspection image frame generated for a wafer by an optical subsystem of an inspection system to design information for the wafer. The method also includes deriving multiple layer design attributes at locations of defects detected in the image patches. In addition, the method includes building a decision tree with the multiple layer design attributes. The decision tree is used to separate the defects into bins with different yield impacts on a device being formed on the wafer. The method also includes binning the defects with the decision tree.

Abstract: Various embodiments for classifying defects detected on a wafer are provided. One method includes acquiring an electron beam image generated by a defect review tool for a location of a defect detected on a wafer by a wafer inspection tool. The method also includes determining a classification of the defect based on at least the electron beam image and without input from a user. The method may also include feeding back the classification results to the wafer inspection tool and optimizing the parameters of the tool to maximize sensitivity to the defects of interest.

Abstract: Systems and methods for inspecting a wafer are provided. One system includes an illumination subsystem configured to illuminate the wafer; a collection subsystem configured to collect light scattered from the wafer and to preserve the polarization of the scattered light; an optical element configured to separate the scattered light collected in different segments of the collection numerical aperture of the collection subsystem, where the optical element is positioned at a Fourier plane or a conjugate of the Fourier plane of the collection subsystem; a polarizing element configured to separate the scattered light in one of the different segments into different portions of the scattered light based on polarization; and a detector configured to detect one of the different portions of the scattered light and to generate output responsive to the detected light, which is used to detect defects on the wafer.

Abstract: Systems configured to inspect a wafer are provided. One system includes an illumination subsystem configured to simultaneously form multiple illumination areas on the wafer with substantially no illumination flux between each of the areas. The system also includes a scanning subsystem configured to scan the multiple illumination areas across the wafer. In addition, the system includes a collection subsystem configured to simultaneously and separately image light scattered from each of the areas onto two or more sensors. Characteristics of the two or more sensors are selected such that the scattered light is not imaged into gaps between the two or more sensors. The two or more sensors generate output responsive to the scattered light. The system further includes a computer subsystem configured to detect defects on the wafer using the output of the two or more sensors.

Abstract: Systems and methods for classifying defects on a wafer are provided. One method includes dilating an extended bounding box (EBB) surrounding a defect position on a wafer in two dimensions in proportion to a width and height of a pattern of interest (POI) for a hot spot closest to the defect position. The method also includes determining if polygons in the POI match polygons in the dilated bounding box. If the polygons in the POI do not match the polygons in the dilated bounding box, the defect is classified as a non-hot spot defect. If the polygons in the POI match the polygons in the dilated bounding box, the defect is classified as a hot spot defect if the area of the EBB intersects the area of interest associated with the hot spot and a non-hot spot defect if the EBB area does not intersect the area of interest.

Abstract: Methods and systems for generating a wafer inspection process are provided. One method includes storing output of detector(s) of an inspection system during scanning of a wafer regardless of whether the output corresponds to defects detected on the wafer and separating physical locations on the wafer that correspond to bit failures detected by testing of the wafer into a first portion of the physical locations at which the defects were not detected and a second portion of the physical locations at which the defects were detected. In addition, the method includes applying defect detection method(s) to the stored output corresponding to the first portion of the physical locations to detect defects at the first portion of the physical locations and generating a wafer inspection process based on the defects detected by the defect detection method(s) at the first portion of the physical locations.

Abstract: Systems and methods for generating information for use in a wafer inspection process are provided. One method includes acquiring output of an inspection system for die(s) located on wafer(s), combining the output for the die(s) based on within die positions of the output, determining, on a within die position basis, a statistical property of variation in values of characteristic(s) of the combined output, and assigning the within die positions to different groups based on the statistical properties determined for the within die positions. The method also includes storing information for the within die positions and the different groups to which the within die positions are assigned in a storage medium that is accessible to the inspection system for performing the wafer inspection process, which includes applying defect detection parameter(s) to additional output of the inspection system generated for a wafer based on the information thereby detecting defects on the wafer.

Abstract: Methods and systems for variable polarization wafer inspection are provided. One system includes one or more polarizing components position in one or more paths of light scattered from a wafer and detected by one or more channels of an inspection system. The polarizing component(s) are configured to have detection polarization(s) that are selected from two or more polarization settings for the polarizing component(s).

Abstract: Generalized virtual inspectors are provided. One system includes two or more actual systems configured to perform one or more processes on specimen(s) while the specimen(s) are disposed within the actual systems. The system also includes one or more virtual systems coupled to the actual systems to thereby receive output generated by the actual systems and to send information to the actual systems. The virtual system(s) are configured to perform one or more functions using at least some of the output received from the actual systems. The virtual system(s) are not capable of having the specimen(s) disposed therein.

Abstract: Systems and methods for determining one or more parameters of a wafer inspection process are provided. One method includes aligning optical image(s) of an alignment target to their corresponding electron beam images generated by an electron beam defect review system. The method also includes determining different local coordinate transformations for different subsets of alignment targets based on results of the aligning. In addition, the method includes determining positions of defects in wafer inspection system coordinates based on coordinates of the defects determined by the electron beam defect review system and the different local coordinate transformations corresponding to different groups of the defects into which the defects have been separated. The method further includes determining one or more parameters for an inspection process for the wafer based on defect images acquired at the determined positions by a wafer inspection system.

Abstract: Systems and methods for acquiring information for a construction site are provided. One system includes a base unit positioned within a construction site by a user. A computer subsystem of the base unit determines a position of the base unit with respect to the construction site. The system also includes a measurement unit moved within the construction site by a user. The measurement unit includes one or more elements configured to interact with light in a known manner. An optical subsystem of the base unit directs light to the element(s) and detects the light after interacting with the element(s). The computer subsystem is configured to determine a position and pose of the measurement unit with respect to the base unit based on the detected light. The measurement unit includes a measurement device used by the measurement unit or the base unit to determine information for the construction site.

Abstract: Methods and systems for detecting defects on a wafer using defect-specific information are provided. One method includes acquiring information for a target on a wafer. The target includes a pattern of interest formed on the wafer and a known DOI occurring proximate to or in the pattern of interest. The information includes an image of the target on the wafer. The method also includes searching for target candidates on the wafer or another wafer. The target candidates include the pattern of interest. The target and target candidate locations are provided to defect detection. In addition, the method includes detecting the known DOI in the target candidates by identifying potential DOI locations in images of the target candidates and applying one or more detection parameters to images of the potential DOI locations.