The purpose of the present invention is to provide a pattern measurement apparatus that appropriately assesses patterns formed by patterning methods for forming patterns that do not exist on photomasks. In order to achieve this purpose, the present invention provides a pattern measurement apparatus comprising a processor that measures the dimensions of patterns formed on a sample by using data acquired by irradiating the sample with a beam, wherein the processor extracts pattern coordinate information on the basis of the data acquired by irradiating the sample with a beam, and uses the coordinate information to generate measurement reference data used when performing dimension measurements of the pattern.

Provided is a charged particle beam device that enables, even if a visual field includes therein a plurality of regions having different secondary electron emission conditions, the setting of appropriate energy filter conditions adapted to each of these regions. The charged particle beam device is equipped with a detector for detecting charged particles obtained on the basis of scanning, over a sample, a charged particle beam emitted from a charged particle source, and an energy filter for filtering by energy the charged particles emitted from the sample. Index values are determined for the plurality of regions contained within the scanning region of the charged particle beam, and, for each of a plurality of energy filter conditions, differences are calculated between the plurality of index values and the reference index values that have been set for each of the plurality of regions.

Provided is an electron microscope for generating a montage image by acquiring images of a plurality of regions in a montage image capturing region set on a specimen, and by connecting the acquired images. The electron microscope includes a specimen surface height calculating unit that calculates a distribution of specimen surface heights in the montage image capturing region by performing curved surface approximation based on the specimen surface heights determined by performing focus adjustment at a plurality of points set in a region including the montage image capturing region, and an image acquiring unit that acquires the images of the plurality of regions based on the calculated distribution of the specimen surface heights.

A charged particle beam apparatus acquires a scanned image by scanning a specimen with a charged particle beam, and detecting charged particles emitted from the specimen. The apparatus includes a charged particle beam source that emits the charged particle beam; an irradiation optical system that scans the specimen with the charged particle beam; a plurality of detection units that detects the charged particles emitted from the specimen; and an image processing unit that reconstructs a profile of a specimen surface of the specimen, based on a plurality of detection signals outputted from the plurality of detection units. The image processing unit: determines an inclination angle of the specimen surface, based on the plurality of detection signals; processing to determine a height of the specimen surface, based on the scanned image; and reconstructs the profile of the specimen surface, based on the inclination angle and the height.

An electron beam is irradiated on a specimen in a state where a negative voltage is applied to the specimen. The specimen is rotated to establish an optimum orientation of a specimen surface shape relative to an orientation of a detector having two detection surfaces disposed at rotational symmetric positions with respect to an optical axis of the electron beam taken as an axis of rotation, and an image is generated based on a quantity of a signal from reflected electrons detected by the detector.

In one embodiment, a method includes generating a model trained to predict a low-probability stochastic defect, using the model to predict the low-probability stochastic defect, determining a process window based on the low-probability stochastic defect, and controlling, based on the process window, a lithography tool to manufacture a device.

In one embodiment, a method includes generating a model trained to predict a low-probability stochastic defect, calibrating, using unbiased measurement data, the model to a specific lithography process, patterning process, or both to generate a calibrated model, using the calibrated model to predict the low-probability stochastic defect; and modifying, based on the low-probability stochastic defect, a variable, parameter, setting, or some combination of a manufacturing process of a device.

Analyzing a sidewall of a hole milled in a sample to determine thickness of a buried layer includes milling the hole in the sample using a charged particle beam of a focused ion beam (FIB) column to expose the buried layer along the sidewall of the hole. After milling, the sidewall of the hole has a known slope angle. From a perspective relative to a surface of the sample, a distance is measured between a first point on the sidewall corresponding to an upper surface of the buried layer and a second point on the sidewall corresponding to a lower surface of the buried layer. The thickness of the buried layer is determined using the known slope angle of the sidewall, the distance, and the angle relative to the surface of the sample.

A charged particle beam device 100 includes: an irradiation unit 110 configured to irradiate a sample S with a charged particle beam; a particle detection unit 130 configured to detect a particle caused by the irradiation of the sample with the charged particle beam; and a control unit 151 configured to generate an image of the sample based on an output from the particle detection unit, wherein the control unit 151 inputs the image of the sample S into models M1 and M2 for detecting a first structure 401 and a second structure 402, acquires a first detection result related to the first structure 401 and a second detection result related to the second structure 402 from the models M1 and M2, determines locations or regions of the first structure 401 and the second structure 402 based on the first detection result and the second detection result, and outputs an integration result image 203 representing the location or the region of the first structure 401 and the location or the region of the second structure 402.

A method, non-transitory computer readable medium and an evaluation system for evaluating an intermediate product related to a three dimensional NAND memory unit. The evaluation system may include an imager and a processing circuit. The imager may be configured to obtain, via an open gap, an electron image of a portion of a structural element that belongs to an intermediate product. The structural element may include a sequence of layers that include a top layer that is followed by alternating nonconductive layers and recessed conductive layers. The imager may include electron optics configured to scan the portion of the structural element with an electron beam that is oblique to a longitudinal axis of the open gap. The processing circuit is configured to evaluate the intermediate product based on the electron image. The open gap (a) exhibits a high aspect ratio, (b) has a width of nanometric scale, and (c) is formed between structural elements of the intermediate product.