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: 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 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: 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: 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 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: 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: In monitoring of an exposure process, a highly isolative pattern greatly changed in a shape of cross section by fluctuations in the exposure dose and the focal position is an observation target. Especially, to detect a change in a resist shape of cross section from a tapered profile to an inverse tapered profile, one of the following observation methods is employed to obtain observation data: (1) a tilt image of a resist pattern is imaged by using tilt imaging electron microscopy, (2) an electron beam image of a resist pattern is imaged under imaging conditions for generating asymmetry on an electron beam signal waveform, and (3) scattering characteristic data of a resist pattern is obtained by an optical measurement system. The observation data is applied to model data created beforehand in accordance with the exposure conditions to estimate fluctuations in the exposure dose and the focal position.

Abstract: In monitoring of an exposure process, a highly isolative pattern greatly changed in a shape of cross section by fluctuations in the exposure dose and the focal position is an observation target. Especially, to detect a change in a resist shape of cross section from a tapered profile to an inverse tapered profile, one of the following observation methods is employed to obtain observation data: (1) a tilt image of a resist pattern is imaged by using tilt imaging electron microscopy, (2) an electron beam image of a resist pattern is imaged under imaging conditions for generating asymmetry on an electron beam signal waveform, and (3) scattering characteristic data of a resist pattern is obtained by an optical measurement system. The observation data is applied to model data created beforehand in accordance with the exposure conditions to estimate fluctuations in the exposure dose and the focal position.

Abstract: The present invention relates to a system that automatically calculates optimal etching parameters in order to perform desired etching in an etching process in semiconductor manufacturing. A model representing etching parameters and an etching performance quantitative value at the time when etching is performed with the etching parameters is prepared in advance, and when desired etching is performed, optimal etching parameters are calculated from the model.