The present application relates to a scanning probe microscope comprising a probe arrangement for analyzing at least one defect of a photolithographic mask or of a wafer, wherein the scanning probe microscope comprises: (a) at least one first probe embodied to analyze the at least one defect; (b) means for producing at least one mark, by use of which the position of the at least one defect is indicated on the mask or on the wafer; and (c) wherein the mark is embodied in such a way that it may be detected by a scanning particle beam microscope.

An inspection method for a substrate, the inspection method including: providing an electron beam having a first polarization state to a sample of the semiconductor substrate; detecting a first response signal of the sample caused by interaction of the electron beam having the first polarization state with the sample; providing an electron beam having a second polarization state to the sample of the semiconductor substrate; detecting a second response signal of the sample caused by interaction of the electron beam having the second polarization state with the sample; and determining a geometric or material property of the sample, based on the first response signal and the second response signal.

Provided is a technology for evaluating a property of a pattern formed inside a sample from two-dimensional information of the sample. A pattern evaluation system of the present disclosure includes a computer subsystem that executes a process of evaluating a property of a pattern by reading a program from a memory that stores the program for evaluating the property of the pattern formed inside a sample. The computer subsystem executes a process of acquiring an image of the sample; a process of extracting a signal waveform from the image; a process of calculating a feature amount in a predetermined region of the signal waveform; a process of comparing the feature amount with a reference value of the feature amount; and a process of evaluating the property of the pattern based upon a comparison result in the comparison process.

In order to measure a 3D profile of a pattern formed on a sample obtained by stacking a plurality of different materials, for each of materials constituting the pattern, an attenuation coefficient μ indicating a probability of an electron being scattered at a unit distance in the material previously stored, an interface position where different materials are in contact, upper and bottom surface positions of the pattern in a BSE image are extracted, and a depth from the upper surface position to a specified position of the pattern is calculated based on a ratio nIh of a contrast between the specified position and the bottom surface position of the pattern to a contrast between the upper and bottom surface positions of the pattern in the BSE image, an attenuation coefficient of a material at the bottom and specified positions of the pattern.

During electron beam imaging of a semiconductor wafer, the electron beam is adjusted to a first electron dose/nm.sup.2/time value below a damage threshold for an image frame grab of a site on the semiconductor wafer. Then the electron beam is adjusted to a second electron dose/nm.sup.2/time value different from the first electron dose/nm.sup.2/time value for a second image frame grab of the site. The second electron dose/nm.sup.2/time value can be above the damage threshold.

A method is disclosed. The method includes receiving measured linescan information describing a pattern structure of a feature, applying the received measured linescan information to an inverse linescan model that relates measured linescan information to feature geometry information, identifying, based at least in part on the applying the received measured linescan model to the inverse linescan model, feature geometry information that describes a feature that would produce a linescan corresponding to the received measured linescan information, determining, at least in part using the inverse linescan model, feature edge positions of the identified feature, and analyzing the feature edge positions to detect the presence or absence of defects in the pattern structure.

An edge detection system is disclosed. The edge detection system includes an imaging device configured for imaging a pattern structure to form a first image, wherein the pattern structure includes a predetermined feature, and the imaging device images the pattern structure to generate measured linescan information that includes image noise. The edge detection system includes a processor, coupled to the imaging device, configured to receive the measured linescan information including image noise from the imaging device, wherein the processor is configured to: apply the measured linescan information to an inverse linescan model that relates the measured linescan information to feature geometry information, determine, from the inverse linescan model, feature geometry information that describes feature edge positions of the predetermined feature corresponding to the measured linescan information, determine from the feature geometry information at least one metric that describes a property of the edge detection system.

The present application relates to a scanning probe microscope comprising a probe arrangement for analyzing at least one defect of a photolithographic mask or of a wafer, wherein the scanning probe microscope comprises: (a) at least one first probe embodied to analyze the at least one defect; (b) means for producing at least one mark, by use of which the position of the at least one defect is indicated on the mask or on the wafer; and (c) wherein the mark is embodied in such a way that it may be detected by a scanning particle beam microscope.

In one embodiment, a method includes receiving measured linescan information describing a pattern structure of a feature, applying the received measured linescan information to an inverse linescan model that relates measured linescan information to feature geometry information, and identifying, based at least in part on the applying the received measured linescan model to the inverse linescan model, feature geometry information that describes a feature that would produce a linescan corresponding to the received measured linescan information. The method also includes determining, at least in part using the inverse linescan model, feature edge positions of the identified feature, analyzing the feature edge positions to determine errors in the manufacture of the pattern structure, and controlling a lithography tool based on the analysis of the feature edge positions.

The present disclosure relates to a system and a non-transitory computer-readable medium for estimating the height of foreign matter, etc. adhering to a sample. In order to achieve the abovementioned purpose, proposed is a system, etc. in which data acquired by a charged particle beam device or features extracted from the data are input to a learning model, which is provided with, in an intermediate layer thereof, a parameter learned using teacher data having data acquired by the charged particle beam device or features extracted from the data as inputs and having the heights or depths of the structures of samples or of foreign matter on the samples as outputs, and height or depth information is output.