Abstract: A method, a system, and a non-transitory computer readable medium for Raman spectroscopy. The method may include determining first acquisition parameters of a Raman spectroscope to provide a first acquisition set-up, the determining is based on at least one expected radiation pattern to be detected by a sensor of the Raman spectroscope as a result of an illumination of a first area of a sample, the first area comprises a first nano-scale structure, wherein at least a part of the at least one expected radiation pattern is indicative of at least one property of interest of the first nano-scale structure of the sample; wherein the first acquisition parameters belong to a group of acquisition parameters; setting the Raman spectroscope according to the first acquisition set-up; and acquiring at least one first Raman spectrum of the first nano-scale structure of the sample, while being set according to the first acquisition set-up.

Abstract: A system and method are presented for controlling measurements of various sample's parameters. The system comprises a control unit configured as a computer system comprising data input and output utilities, memory, and a data processor, and being configured to communicate with a measured data provider to receive measured data indicative of measurements on the sample. The data processor is configured to perform model-based processing of the measured data utilizing at least one predetermined model, and determine, for each of one or more measurements of one or more parameters of interest of the sample, an estimated upper bound on an error value for the measurement individually, and generate output data indicative thereof.

Abstract: A measurement system is provided for use in optical metrology measurements. The measurement system comprises a control system which processes raw measured data indicative of spectral interferometric signals measured on a sample in response to illuminating electromagnetic field incident onto a top portion of the sample and comprising at least one spectral range to which said sample is substantially not absorbing.

Abstract: A method, a system, and a non-transitory computer readable medium for Raman spectroscopy. The method may include determining first acquisition parameters of a Raman spectroscope to provide a first acquisition set-up, the determining is based on at least one expected radiation pattern to be detected by a sensor of the Raman spectroscope as a result of an illumination of a first area of a sample, the first area comprises a first nano-scale structure, wherein at least a part of the at least one expected radiation pattern is indicative of at least one property of interest of the first nano-scale structure of the sample; wherein the first acquisition parameters belong to a group of acquisition parameters; setting the Raman spectroscope according to the first acquisition set-up; and acquiring at least one first Raman spectrum of the first nano-scale structure of the sample, while being set according to the first acquisition set-up.

Abstract: A system for use in metrology of a patterned structure, the system including a data input utility configured to receive a first type of data related to the patterned structure, the first type of data was obtained by a first type of metrology system and comprises first type measurements and first geometrical information regarding the patterned structure. The data input utility is also configured to receive a second type of data related to the patterned structure, the second type of data was obtained by a second type of metrology system and comprises second type measurement results and second geometrical information regarding the patterned structure; the second type of metrology system differs from the first type of metrology system; and a data processing and analyzing utility configured to determine values of parameters of interest based on the first type of data and the second type of data.

Abstract: A system and methods for Advance Process Control (APC) in semiconductor manufacturing include: for each of a plurality of waiter sites, receiving a pre-process set of scatterometric training data, measured before implementation of a processing step, receiving a corresponding post-process set of scatterometric training data measured after implementation of the process step, and receiving a set of process control knob training data indicative of process control knob settings applied during implementation of the process step; and generating a machine learning model correlating variations in the pre-process sets of scatterometric training data and the corresponding process control knob training data with the corresponding post-process sets of scatterometric training data, to train the machine learning model to recommend changes to process control knob settings to compensate for variations in the pre-process scatterometric data.

Abstract: Photoreflectance (PR) spectroscopy system and method for accumulating separately a “pump on” light beam and a “pump off light beam reflecting off a sample. The system comprises: (a) a probe source for producing a probe beam, the probe beam is used for measuring spectral reflectivity of a sample, (b) a pump source for producing a pump beam, (c) at least one spectrometer, (d) a first modulation device to allow the pump beam to alternatingly modulate the spectral reflectivity of the sample, so that, a light beam reflecting from the sample is alternatingly a “pump on” light beam and a “pump off light beam, (e) a second modulation device in a path of the light beam reflecting off the sample to alternatingly direct the “pump on” light beam and the “pump off light beam to the at least one spectrometer, and (f) a computer.

Abstract: A polarized Raman Spectrometric system for defining parameters of a polycrystalline material, said system comprising: a polarized Raman Spectrometric apparatus, a computer-controlled sample stage for positioning a sample at different locations, and a computer comprising a processor and an associated memory.

Abstract: Abstract: Systems and methods for metrology of workpieces such as wafers, using spectrometry of multi- spot- arrays formed over a test area of the tester workpiece, for optically measuring characteristics of the tested workpiece, where the optical metrology system is configured such that the distribution of energy density or flux of the multi-spot-array over the test area of the tested workpiece is such that prevents affecting the workpiece during its testing.

Abstract: A semiconductor metrology system including a spectrum acquisition tool for collecting, using a first measurement protocol, baseline scatterometric spectra on first semiconductor wafer targets, and for various sources of spectral variability, variability sets of scatterometric spectra on second semiconductor wafer targets, the variability sets embodying the spectral variability, a reference metrology tool for collecting, using a second measurement protocol, parameter values of the first semiconductor wafer targets, and a training unit for training, using the collected spectra and values, a prediction model using machine learning and minimizing an associated loss function incorporating spectral variability terms, the prediction model for predicting values for production semiconductor wafer targets based on their spectra.

Abstract: A method for optical metrology of a sample, the method may include illuminating areas of the sample by sets of pulses of different wavelengths, during a movement of a variable speed of the sample; collecting light reflected from the sample, as a result of the illuminating, to provide sets of frames, each set of frames comprises partially overlapping frames associated with the different wavelengths; and processing the frames to provide optical metrology results indicative of one or more evaluated parameters of elements of the areas of the sample; wherein the processing is based on a mapping between the sets of frames and reference measurements obtained by an other optical metrology process that exhibits a higher spectral resolution than a spectral resolution obtained by the illuminating and the collecting.

Abstract: A system and methods for OCD metrology are provided including receiving multiple first sets of scatterometric data, dividing each set into k sub-vectors, and training, in a self-supervised manner, k2 auto-encoder neural networks that map each of the k sub-vectors to each other. Subsequently multiple respective sets of reference parameters and multiple corresponding second sets of scatterometric data are received and a transfer neural network (NN) is trained. Initial layers include a parallel arrangement of the k2 encoder neural networks. Target output of the transfer NN training is set to the multiple sets of reference parameters and feature input is set to the multiple corresponding second sets of scatterometric data, such that the transfer NN is trained to estimate new wafer pattern parameters from subsequently measured sets of scatterometric data.

Abstract: A method, a system, and a non-transitory computer readable medium for accurate Raman spectroscopy. The method may include executing at least one iteration of the steps of: (i) performing, by an optical measurement system, a calibration process that comprises (a) finding a misalignment between a region of interest defined by a spatial filter, and an impinging beam of radiation that is emitted from an illuminated area of a sample, the impinging beam impinges on the spatial filter; and (b) determining a compensating path of propagation of the impinging beam that compensates the misalignment; and (ii) performing a measurement process, while the optical measurement system is configured to provide the compensating path of propagation of the impinging beam, to provide one or more Raman spectra.

Abstract: A method and system are presented for use in X-ray based measurements on patterned structures. The method comprises: processing data indicative of measured signals corresponding to detected radiation response of a patterned structure to incident X-ray radiation, and subtracting from said data an effective measured signals substantially free of background noise, said effective measured signals being formed of radiation components of reflected diffraction orders such that model based interpretation of the effective measured signals enables determination of one or more parameters of the patterned structure, wherein said processing comprises: analyzing the measured signals and extracting therefrom a background signal corresponding to the background noise; and applying a filtering procedure to the measured signals to subtract therefrom signal corresponding to the background signal, resulting in the effective measured signal.

Abstract: A system and method are presented for controlling measurements of various sample's parameters. The system comprises a control unit configured as a computer system comprising data input and output utilities, memory, and a data processor, and being configured to communicate with a measured data provider to receive measured data indicative of measurements on the sample. The data processor is configured to perform model-based processing of the measured data utilizing at least one predetermined model, and determine, for each of one or more measurements of one or more parameters of interest of the sample, an estimated upper bound on an error value for the measurement individually, and generate output data indicative thereof.

Abstract: A method, a system, and a non-transitory computer readable medium for Raman spectroscopy.

Abstract: A test structure for use in metrology measurements of a sample pattern formed by periodicity of unit cells, each formed of pattern features arranged in a spaced-apart relationship along a pattern axis, the test structure having a test pattern, which is formed by a main pattern which includes main pattern features of one or more of the unit cells and has a symmetry plane, and a predetermined auxiliary pattern including at least two spaced apart auxiliary features located within at least some of those features of the main pattern, parameters of which are to be controlled during metrology measurements.

Abstract: A method for use in optical measurements on patterned structures, the method including performing a number of optical measurements on a structure with a measurement spot configured to provide detection of light reflected from an illuminating spot at least partially covering at least two different regions of the structure, the measurements including detecting light reflected from the at least part of the at least two different regions within the measurement spot, the detected light including interference of at least two complex electric fields reflected from the at least part of the at least two different regions, and being therefore indicative of a phase response of the structure, carrying information about properties of the structure.

Abstract: A method, a system, and a non-transitory computer readable medium for measuring a local critical dimension uniformity of an array of two-dimensional structural elements, the method may include obtaining an acquired optical spectrometry spectrum of the array; feeding the acquired optical spectrometry spectrum of the array to a trained machine learning process, wherein the trained machine learning process is trained to map an optical spectrometry spectrum to an average critical dimension (CD) and a local critical dimension uniformity (LCDU); and outputting, by the trained machine learning process, the average CD and the LCDU of the array.

Abstract: A measurement system is provided for use in optical metrology measurements. The measurement system comprises a control system which processes raw measured data indicative of spectral interferometric signals measured on a sample in response to illuminating electromagnetic field incident onto a top portion of the sample and comprising at least one spectral range to which said sample is substantially not absorbing.