Abstract:
An improved technique for determining height difference in patterns provided on semiconductor wafers uses real measurements (e.g., measurements from SEM images) and a height difference determination model. In one version of the model, a measurable variable of the model is expressed in terms of a function of a change in depth of shadow (i.e. relative brightness), wherein the depth of shadow depends on the height difference as well as width difference between two features on a semiconductor wafer. In another version of the model, the measurable variable is expressed in terms of a function of a change of a measured distance between two characteristic points on the real image of a periodic structure with respect to a change in a tilt angle of a scanning electron beam.
Abstract:
A Critical Dimensions Scanning Electron Microscope (CD-SEM) is described that comprises a unit for performing CD-SEM measurements of a semiconductor wafer, a BSE imaging unit for obtaining a Grey Level image (GL) of the wafer, and a unit for GL analysis and for processing the GL analysis results with reference to results of the CD-measurements.
Abstract:
Input data may be received. The input data may include an image of a pattern and location data that identifies a modified portion of the pattern. A processing device may determine a first parameter of a first dimension within the pattern and a second parameter of a second dimension outside of the pattern. A combined set may be generated based on the first parameter and the second parameter. A defect associated with the modified portion may be classified based on the combined set.
Abstract:
A method, non-transitory computer readable medium and an evaluation system for evaluating an intermediate product related to a three dimensional NAND memory unit. The evaluation system may include an imager and a processing circuit. The imager may be configured to obtain, via an open gap, an electron image of a portion of a structural element that belongs to an intermediate product. The structural element may include a sequence of layers that include a top layer that is followed by alternating nonconductive layers and recessed conductive layers. The imager may include electron optics configured to scan the portion of the structural element with an electron beam that is oblique to a longitudinal axis of the open gap. The processing circuit is configured to evaluate the intermediate product based on the electron image. The open gap (a) exhibits a high aspect ratio, (b) has a width of nanometric scale, and (c) is formed between structural elements of the intermediate product.
Abstract:
An improved technique for determining height difference in patterns provided on semiconductor wafers uses real measurements (e.g., measurements from SEM images) and a height difference determination model. In one version of the model, a measurable variable of the model is expressed in terms of a function of a change in depth of shadow (i.e. relative brightness), wherein the depth of shadow depends on the height difference as well as width difference between two features on a semiconductor wafer. In another version of the model, the measurable variable is expressed in terms of a function of a change of a measured distance between two characteristic points on the real image of a periodic structure with respect to a change in a tilt angle of a scanning electron beam.
Abstract:
A system, a non-transitory computer readable medium and a method for detecting a parameter of a pattern, the method comprises: obtaining an image of the pattern; wherein the image is generated by scanning the pattern with a charged particle beam; processing the image to provide an edge enhanced image; wherein the processing comprises computing an aggregate energy of first n spectral components of the image, wherein n exceeds two; and further processing the edge enhanced image and determining a parameter of the pattern.
Abstract:
A system, a non-transitory computer readable medium and a method for detecting a parameter of a pattern, the method comprises: obtaining an image of the pattern; wherein the image is generated by scanning the pattern with a charged particle beam; processing the image to provide an edge enhanced image; wherein the processing comprises computing an aggregate energy of first n spectral components of the image, wherein n exceeds two; and further processing the edge enhanced image and determining a parameter of the pattern.
Abstract:
There is provided a system and method of a method of detecting a local shape deviation of a structural element in a semiconductor specimen, comprising: obtaining an image comprising an image representation of the structural element; extracting, from the image, an actual contour of the image representation; estimating a reference contour of the image representation indicative of a standard shape of the structural element, wherein the reference contour is estimated based on a Fourier descriptor representative of the reference contour, the Fourier descriptor being estimated using an optimization method based on a loss function specifically selected to be insensitive to local shape deviation of the actual contour; and performing one or more measurements representative of one or more differences between the actual contour and the reference contour, the measurements indicative of whether a local shape deviation is present in the structural element.
Abstract:
There is provided a system and method of generating a metrology recipe usable for examining a semiconductor specimen, comprising: obtaining a first image set comprising a plurality of first images captured by an examination tool, obtaining a second image set comprising a plurality of second images, wherein each second image is simulated based on at least one first image, wherein each second image is associated with ground truth data; performing a first test on the first image set and a second test on the second image set in accordance with a metrology recipe configured with a first parameter set, and determining, in response to a predetermined criterion not being met, to select a second parameter set, configure the metrology recipe with the second parameter set, and repeat the first test and the second test in accordance with the metrology recipe configured with the second parameter set.
Abstract:
An improved technique for determining height difference in patterns provided on semiconductor wafers uses real measurements (e.g., measurements from SEM images) and a height difference determination model. In one version of the model, a measurable variable of the model is expressed in terms of a function of a change in depth of shadow (i.e. relative brightness), wherein the depth of shadow depends on the height difference as well as width difference between two features on a semiconductor wafer. In another version of the model, the measurable variable is expressed in terms of a function of a change of a measured distance between two characteristic points on the real image of a periodic structure with respect to a change in a tilt angle of a scanning electron beam.