Abstract: A systems for in-depth profiling of patterned wafer samples including a pump pulse and plurality of probe pulses each having a different wavelength (?1-?n), and an optical setup configured to combine the plurality of probe pulses, such that they simultaneously reach the same target region of the sample and to separate the plurality of probe pulses upon their reflection from the sample, such that each of the plurality of probe pulses is detected by a separate detector.

Abstract: A method for generating a 3D reconstruction of structural elements of a wafer including: obtaining a 2D image of a top view of the plurality of structural elements, sectioned diagonally in a compound angle allowing 3D volumetric sampling, such that each of the plurality of structural elements is cut at a different height thereof, and generating a representative 3D reconstruction of the structural elements, based on the images.

Abstract: Disclosed herein is a system for non-destructive tomography of specimens. The system includes a scanning electron microscope (SEM) and a processor(s). The SEM is configured to obtain a sinogram of a tested specimen, parameterized by a vector {right arrow over (s)}, by projecting e-beams on the tested specimen, at each of a plurality of projection directions and offsets, and. for each e-beam, measuring a respective intensity of electrons returned from the tested specimen, The processor(s) is configured to obtain a tomographic map, pertaining to the tested specimen, by determining values indicative of components of a vector {right arrow over (t)} defined by an equation W{right arrow over (t)}={right arrow over (s)}. W is a matrix with components wij specifying a contribution of a j-th voxel in a nominal specimen to an i-th element of a nominal sinogram of the nominal specimen. The matrix W accounts for e-beam expansion and attenuation with depth within the nominal specimen.

Abstract: A systems for in-depth profiling of patterned wafer samples including a pump pulse and plurality of probe pulses each having a different wavelength (?l-?n), and an optical setup configured to combine the plurality of probe pulses, such that they simultaneously reach the same target region of the sample and to separate the plurality of probe pulses upon their reflection from the sample, such that each of the plurality of probe pulses is detected by a separate detector.

Abstract: Disclosed herein is a method for non-destructive hybrid acousto-optic and scanning electron microscopy-based metrology. The method includes: (i) obtaining acousto-optic and scanning electron microscopy measurement data of an inspected structure on a sample; (ii) processing the measurement data to extract values of key measurement parameters corresponding to the acousto-optic measurement data and the scanning electron microscopy measurement data, respectively; and (iii) obtaining estimated values of one or more structural parameters of the inspected structure by inputting the extracted values into an algorithm, which is configured to jointly process the extracted values to output estimated values of the one or more structural parameters.

Abstract: Disclosed herein is a method for non-destructive depth-profiling including projecting a pulsed pump beam into a specimen, projecting a pulsed probe beam thereinto, and sensing light returned therefrom to obtain a measured signal. Each probe pulse is configured to undergo Brillouin scattering off a primary acoustic pulse induced by the directly preceding pump pulse, so as to be scattered there off at a respective depth within the specimen. The method further includes executing an optimization algorithm configured to receive as inputs the measured signal, and/or a processed signal obtained therefrom, and output values of structural parameter(s) characterizing the specimen through minimization of a cost function indicative of a difference between the measured signal and a simulated signal obtained using a forward model simulating the scattering of a pulsed probe beam off at least the primary acoustic pulses.

Abstract: Disclosed herein is a system for non-destructive tomography of specimens. The system includes a scanning electron microscope (SEM) and a processor(s). The SEM is configured to obtain a sinogram of a tested specimen, parameterized by a vector {right arrow over (s)}, by projecting e-beams on the tested specimen, at each of a plurality of projection directions and offsets, and. for each e-beam, measuring a respective intensity of electrons returned from the tested specimen, The processor(s) is configured to obtain a tomographic map, pertaining to the tested specimen, by determining values indicative of components of a vector {right arrow over (t)} defined by an equation W{right arrow over (t)}={right arrow over (s)}. W is a matrix with components wij specifying a contribution of a j-th voxel in a nominal specimen to an i-th element of a nominal sinogram of the nominal specimen. The matrix W accounts for e-beam expansion and attenuation with depth within the nominal specimen.

Abstract: Disclosed herein is s computer-based method for obtaining and analyzing multi-die scan data of a patterned wafer. The method includes sequentially implementing an operation of scanning a respective plurality of sets of slices on a wafer, and, per each slice segment in a multiplicity of slice segments in the plurality of sets of slices, an operation of performing die-to-multi-die (D2MD) analysis of scan data of the slice segment in order to detect defects in the slice segment. Each set of slices may constitute a subset of the totality of slices on the respective die-column. Sets scanned in a same implementation are analogous to one another, thereby facilitating—in the die-to-multi-die analysis of scan data of a slice segment—taking into account, as reference, scan data of areas on other die-columns, which were scanned in the same implementation.

Abstract: Disclosed herein is a method for non-destructive hybrid acousto-optic and scanning electron microscopy-based metrology. The method includes: (i) obtaining acousto-optic and scanning electron microscopy measurement data of an inspected structure on a sample; (ii) processing the measurement data to extract values of key measurement parameters corresponding to the acousto-optic measurement data and the scanning electron microscopy measurement data, respectively; and (iii) obtaining estimated values of one or more structural parameters of the inspected structure by inputting the extracted values into an algorithm, which is configured to jointly process the extracted values to output estimated values of the one or more structural parameters.

Abstract: Disclosed is a computerized method for detecting defects on a sample. The method includes: (i) receiving scan data corresponding to a pixel on the sample; (ii) computing a difference vector d based on the scan data and corresponding reference data; (iii) computing a parameter D dependent on t=?d?(Glinear/??s?2)?s, wherein ?T?=K?1 with K being a covariance matrix corresponding to the pixel, s is a predetermined kernel characterizing a defect signal, and Glinear=s·(K?1 d) is a gaussian approximation of a likelihood ratio test expression for distinguishing the defect signal from noise, and wherein D substantially monotonically increases with ?t?; and (iv) computing a score q(g, D) indicative of whether the pixel is defective, wherein g is a parameter indicative of a value of Glinear and q(g, D) substantially monotonically increases with g and substantially monotonically decreases with D.

Abstract: Disclosed herein is s computer-based method for obtaining and analyzing multi-die scan data of a patterned wafer. The method includes sequentially implementing an operation of scanning a respective plurality of sets of slices on a wafer, and, per each slice segment in a multiplicity of slice segments in the plurality of sets of slices, an operation of performing die-to-multi-die (D2MD) analysis of scan data of the slice segment in order to detect defects in the slice segment. Each set of slices may constitute a subset of the totality of slices on the respective die-column. Sets scanned in a same implementation are analogous to one another, thereby facilitating—in the die-to-multi-die analysis of scan data of a slice segment—taking into account, as reference, scan data of areas on other die-columns, which were scanned in the same implementation.

Abstract: Disclosed is a computerized method for detecting defects on a sample. The method includes: (i) receiving scan data corresponding to a pixel on the sample; (ii) computing a difference vector d based on the scan data and corresponding reference data; (iii) computing a parameter D dependent on t=?d?(Glinear/??s?2)?s, wherein ?T?=K?1 with K being a covariance matrix corresponding to the pixel, s is a predetermined kernel characterizing a defect signal, and Glinear=s·(K?1 d) is a gaussian approximation of a likelihood ratio test expression for distinguishing the defect signal from noise, and wherein D substantially monotonically increases with ?t?; and (iv) computing a score q(g, D) indicative of whether the pixel is defective, wherein g is a parameter indicative of a value of Glinear and q(g, D) substantially monotonically increases with g and substantially monotonically decreases with D.