Abstract: The present invention aims at providing a pattern matching device that conducts pattern matching on an image including a plurality of regions having different features with high precision, such as a pattern image including a plurality of layers. In order to achieve the above object, the present invention proposes a pattern matching device that executes pattern matching on a target image with the use of a template formed on the basis of design data or a picked-up image, which executes the pattern matching on a first target image with the use of a first template including a plurality of different patterns, creates a second target image with the exclusion of information on a region including a specific pattern from the first target image, and determines the degree of similarity between the second target image, and a second template including pattern information other than the specific pattern.

Abstract: To enable SEM-based management of a cross-sectional shape or manufacturing process parameters of a semiconductor device pattern to be measured, the association between the shape or parameters and SEM image characteristic quantities effective for estimating the shape or parameters is saved as learning data. The image characteristic quantities are collated with learning data to estimate the shape or to monitor the process parameters. Accuracy and reliability is achievable by calculating three kinds of reliability (reliability of the image characteristic quantities, reliability of estimation engines, and reliability of estimating results) based on the distribution of the image characteristic quantities and then judging whether additional learning is necessary, or selecting and adjusting image characteristic quantities and estimation engine based on the reliability.

Abstract: The present invention is a template matching processing device capable of evaluating a similarity degree which supports even a case of intensive morphological change between a design image and a photographic image. In the template matching processing device, matching processing between the design image and the photographic image is performed, a partial design image is obtained by clipping a portion having the highest correlation (step 101), and processing for deforming the photographic image in accordance with the clipped design image (steps 102 to 105) is performed, so that correlation between the deformed image obtained and the design image is taken to be set as the similarity degree.

Abstract: A method is provided for estimating a cross-sectional shape or for monitoring manufacturing process parameters of a semiconductor device pattern to be measured. In this method, in order to enable SEM-based management of the cross-sectional shape or manufacturing process parameters of the pattern to be measured, the association between the cross-sectional shape or process parameters of the pattern and SEM image characteristic quantities effective for estimating the cross-sectional shape or process parameters of the pattern, is saved as learning data, and then the image characteristic quantities that have been calculated from a SEM image of the pattern are collated with the learning data to estimate the cross-sectional shape or to monitor process parameters of the pattern.

Abstract: Provided is a template matching method and a template matching apparatus, where the degree of matching between a template and the actual image upon template matching is maintained at a high level, without depending on a partial appearance of a lower layer. Proposed as one embodiment, is a method and an apparatus for template matching, where either an area is set in which comparison of the template and the image is not conducted, or a second area is set inside the template where comparison different from comparison conducted in a first comparison area is to be conducted, and the template matching is conducted on the basis either of comparison excluding the non-comparison area, or of comparison using the first and second areas.

Abstract: (1) part or all of the number, coordinates and size/shape and imaging sequence of imaging points each for observation, the imaging position change method and imaging conditions can be calculated automatically from CAD data, (2) a combination of input information and output information for imaging recipe creation can be set arbitrarily, and (3) decision is made of imaging or processing at an arbitrary imaging point as to whether to be successful/unsuccessful and in case a failure is determined, a relief process can be conducted in which the imaging point or imaging sequence is changed.

Abstract: A method, and a corresponding system, are provided for calibrating data of an object measured by different measuring tools, including measuring a Critical-Dimension (CD) and roughness of an object by using a CD-SEM tool, calculating a number of cross section measurement points required for calibration, by statistically processing the roughness of the object, measuring the cross section of the object by using a cross section measuring tool to obtain cross section data at the calculated number of cross section measurement points, calculating the average measurement of the cross section measurement height, and calculating a calibration correction value that is a function of a difference between the average CD measurement of the object and the average measurement of the cross section measurement height of the object.

Abstract: The present invention has an object to propose a method and an apparatus for selecting a pattern shape, wherein, when estimating a shape based on comparison between an actual waveform and a library, the method and the apparatus can appropriately estimate the shape. As an embodiment to achieve the object, a method and an apparatus for selecting a pattern shape by comparing an obtained shape with pattern shapes memorized in the library are proposed, wherein plural pieces of waveform information are obtained under a plurality of waveform acquiring conditions based on radiation of a charged particle beam onto a specimen; and a pattern shape memorized in the library is selected by referring, with respect to the plural pieces of waveform information, to a library memorizing plural pieces of waveform information acquired under different waveform acquiring conditions for each of a plurality of pattern shapes.

Abstract: (1) part or all of the number, coordinates and size/shape and imaging sequence of imaging points each for observation, the imaging position change method and imaging conditions can be calculated automatically from CAD data, (2) a combination of input information and output information for imaging recipe creation can be set arbitrarily, and (3) decision is made of imaging or processing at an arbitrary imaging point as to whether to be successful/unsuccessful and in case a failure is determined, a relief process can be conducted in which the imaging point or imaging sequence is changed.

Abstract: In an exposure process or etching process, an image feature amount useful for estimating a cross-sectional shape of a target evaluation pattern, process conditions for the pattern, or device characteristics of the pattern is calculated from an SEM image. The image feature amount is compared with learning data that correlates data preliminarily stored in a database, which data includes cross-sectional shapes of patterns, process conditions for the patterns, or device characteristics of the patterns, to the image feature amount calculated from the SEM image. Thereby, the cross-sectional shape of the target evaluation pattern, the process conditions of the pattern, or the device characteristics of the pattern are nondestructively calculated.

Abstract: An exposure process monitoring method capable of performing quantitative monitoring of an exposure amount and a focusing position which are major process parameters during exposure using a Levinson phase shift mask in semiconductor lithography processes is disclosed. During exposure using the Levinson phase shift mask, the focus position is influenceable by optical intensity distribution characteristics so that it can vary from its minus (?) to plus (+) directions by in a way depending upon the pitch width and line width of a line-and-space pattern. In such case, there exist a pattern in which the cross-sectional shape of a resist changes from a forward taper to reverse taper and a pattern in which the sectional shape changes from the reverse to forward taper.

Abstract: It is difficult for a material having low resistance to electron beam irradiation to obtain an electron microscopic image having a high S/N ratio. A conventional image smoothing process can improve stability of measurement, but this process has a problem of measurement errors for absolute values, reduction of sensitivity, deterioration of quality of cubic shape information and the like. In the present invention, by performing an image averaging process without deteriorating cubic shape information of a signal waveform in consideration of dimension deviation of a measurement target pattern, measurement stability is compatible with improvement of precision and sensitivity. Accordingly, it is possible to realize measurement of pattern dimensions and shapes with high precision and control of a highly sensitive semiconductor manufacturing process using the measurement.

Abstract: The present invention provides a semiconductor pattern shape evaluating apparatus using a critical dimension SEM, which eliminates the necessity of data conversion corresponding to each process of semiconductor manufacturing conventionally required; controls possessed data integratedly; can select data effective for use in each process from the possessed data easily; if the shape of formed pattern changes with time, can create a photographing recipe which enables stable measurement by correcting the photographing recipe based on time-series data. Specifically, the semiconductor pattern shape evaluating apparatus correlates coordinate systems among diversified data to control the diversified data stored in a database integratedly, selects part or all of the diversified data arbitrarily and creates a photographing recipe for observing a semiconductor pattern with a critical dimension SEM using selected data.

Abstract: In dimension measurement of semiconductor pattern by CD-SEM, the error value between dimensional measurement value and actual dimension on the pattern is much variational as it is dependent on the cross-sectional shape of the pattern, and a low level of accuracy was one time a big problem. In the present invention, a plurality of patterns, each different in shape, were prepared beforehand with AFM measurement result and patterns of the same shape measured by CD-SEM. These measurement results and dimensional errors were homologized with each other and kept in a database. For actual measurement of dimensions, most like side wall shape, and corresponding CD-SEM measurement error result are called up, and the called-up error results are used to correct CD-SME results of measurement object patterns. In this manner, it becomes possible to correct or reduce dimensional error which is dependent on cross-sectional shape of the pattern.

Abstract: In an imaging recipe creating apparatus that uses a scanning electron microscope to create an imaging recipe for SEM observation of a semiconductor pattern, in order that the imaging recipe for measuring the wiring width and other various dimension values of the pattern from an observation image and thus evaluating the shape of the pattern is automatically generated within a minimum time by the analysis using the CAD image obtained by conversion from CAD data, an CAD image creation unit that creates the CAD image by converting the CAD data into an image format includes an image-quantizing width determining section, a brightness information providing section, and a pattern shape deformation processing section; the imaging recipe being created using the CAD image created by the CAD image creation unit.

Abstract: The present invention relates to a method and its system for calibrating measured data between different measuring tools. A method of calibrating measured data between different measuring tools includes the steps of: measuring the CD average dimension and roughness of an object to be measured using a CD-SEM tool; calculating the number of the cross section measurement points required for calibration by statistically processing the roughness; measuring the cross section of the object to be measured using the cross section measuring tool to satisfy the number of the cross section measurement points, thereby calculating the CD average dimension of the cross section measurement height specified in the obtained cross section measurement result; and calculating a calibration correction value being a difference between the CD average dimension of the object and the CD average dimension of the cross section measurement height of the object.

Abstract: The present invention relates to a dimension measuring SEM system and a circuit pattern evaluating system capable of achieving accurate, minute OPC evaluation, the importance of which increase with the progressive miniaturization of design pattern of a circuit pattern for a semiconductor device, and a circuit pattern evaluating method. Design data and measured data on an image of a resist pattern formed by photolithography are superposed for the minute evaluation of differences between a design pattern defined by the design data and the image of the resist pattern, and one- or two-dimensional geometrical features representing differences between the design pattern and the resist pattern are calculated. In some cases, the shape of the resist pattern differs greatly from the design pattern due to OPE effect (optical proximity effect).

Abstract: It is difficult for a material having low resistance to electron beam irradiation to obtain an electron microscopic image having a high S/N ratio. A conventional image smoothing process can improve stability of measurement, but this process has a problem of measurement errors for absolute values, reduction of sensitivity, deterioration of quality of cubic shape information and the like. In the present invention, by performing an image averaging process without deteriorating cubic shape information of a signal waveform in consideration of dimension deviation of a measurement target pattern, measurement stability is compatible with improvement of precision and sensitivity. Accordingly, it is possible to realize measurement of pattern dimensions and shapes with high precision and control of a highly sensitive semiconductor manufacturing process using the measurement.

Abstract: In order to provide an imaging-recipe arranging or creating apparatus and method adapted so that selection rules for automatic arrangement of an imaging recipe can be optimized by teaching in a SEM apparatus or the like, the imaging-recipe arranging or creating apparatus in this invention that arranges an imaging recipe for SEM-observing a semiconductor pattern using a scanning electron microscope includes a database that receives and stores layout information of the above semiconductor pattern in a low-magnification field, and an imaging-recipe arranging unit which, on the basis of the database-stored semiconductor pattern layout information, arranges the imaging recipe automatically in accordance with the automatic arrangement algorithm that includes teaching-optimized selection rules for selecting an imaging point(s).

Abstract: (1) part or all of the number, coordinates and size/shape and imaging sequence of imaging points each for observation, the imaging position change method and imaging conditions can be calculated automatically from CAD data, (2) a combination of input information and output information for imaging recipe creation can be set arbitrarily, and (3) decision is made of imaging or processing at an arbitrary imaging point as to whether to be successful/unsuccessful and in case a failure is determined, a relief process can be conducted in which the imaging point or imaging sequence is changed.