Abstract:
The purpose of the present invention is to provide a pattern measurement device that is capable of highly accurately measuring a groove bottom, hole bottom, or the like, regardless of the accuracy of the formation of a deep groove or deep hole. To that end, the present invention proposes a pattern measurement device provided with a computation device for measuring the dimensions of a pattern formed on a sample on the basis of a signal obtained by a charged particle beam device, wherein the computation device determines the deviation between a first part of the pattern and a second part of the pattern at a different height than the first part and pattern dimension values on the basis of a detection signal obtained on the basis of the scanning of the sample by a charged particle beam and corrects the pattern dimension values using the deviation determined from the detection signal and relationship information indicating the relationship between the pattern dimensions and the deviation.
Abstract:
The present invention comprises a computation device for measuring the dimensions of patterns formed on a sample on the basis of a signal obtained from a charged particle beam device. The computation device comprises a positional deviation amount calculation unit for calculating the amount of positional deviation in a direction parallel to a wafer surface between two patterns having different heights on the basis of an image acquired at a given beam tilt angle; a pattern inclination amount calculation unit for calculating an amount of pattern inclination from the amount of positional deviation using a predetermined relational expression for the amount of positional deviation and the amount of pattern inclination; and a beam tilt control amount calculation unit for controlling the beam tilt angle so as to match the amount of pattern inclination. The pattern measurement device sets the beam tilt angle to a calculated beam tilt angle, reacquires an image and measures the patterns.
Abstract:
A sample observation device of the invention includes: a charged particle optical column for irradiating a sample with charged particle beams at a first acceleration voltage, the sample having a target part to be observed which is a concave part; an image acquisition part for acquiring an image including the target part to be observed on the basis of signals obtained by irradiation with the charged particle beams; a memory part for memorizing in advance, at each of a plurality of acceleration voltages, information indicating a relationship between a brightness ratio of a concave part to a periphery part of the concave part in a standard sample and a value indicating a structure of the concave part in the standard sample; and an operation part for obtaining a brightness ratio of the concave part to a periphery part of the concave part in the image. The operation part judges appropriateness/inappropriateness of the first acceleration voltage with the use of the information indicating the relationship and the brightness ratio in the image.
Abstract:
In order to allow detecting backscattered electrons (BSEs) generated from the bottom of a hole for determining whether a hole with a super high aspect ratio is opened or for inspecting and measuring the ratio of the top diameter to the bottom diameter of a hole, which are typified in 3D-NAND processes of opening a hole, a primary electron beam accelerated at a high accelerating voltage is applied to a sample. Backscattered electrons (BSEs) at a low angle (e.g. a zenith angle of five degrees or more) are detected. Thus, the bottom of a hole is observed using “penetrating BSEs” having been emitted from the bottom of the hole and penetrated the side wall. Using the characteristics in which a penetrating distance is relatively prolonged through a deep hole and the amount of penetrating BSEs is decreased to cause a dark image, a calibration curve expressing the relationship between a hole depth and the brightness is given to measure the hole depth.
Abstract:
Provided is a sample observation apparatus including a charged particle optical column that, irradiates a sample including an observation target portion that is a concave portion with a charged particle beam at an acceleration voltage, an image generation section that acquires an image including the observation target portion from a signal acquired with irradiation of the charged particle beam, a storage section that stores information representing a relationship between a brightness ratio of a concave portion and its neighboring portion of a reference sample that is irradiated with the charged particle beam at the acceleration voltage and a value that represents a structure of the concave portions of the reference sample in advance, a calculation section that acquires a brightness ratio of the concave portion and its neighboring portion of the image, and a determination section that determines whether or not a defect occurs in the observation target portion based on the information that represents the relationship and the brightness ratio of the image.
Abstract:
When a scanning electron microscope is used to measure a superposition error between upper-layer and lower-layer patterns, an SN of the lower-layer pattern may often be lower, so that when simple frame adding processing is used, the adding processing needs to be performed many times. Further, in an image obtained through such simple adding processing, contrast may not be optimal for both the upper-layer and lower-layer patterns. In a superposition measuring apparatus and superposition measuring method that measure a difference between a position of an upper-layer pattern and a position of a lower-layer pattern by using an image obtained by irradiation of a charged particle ray, portions of images having contrasts optimized for the respective upper-layer and lower-layer patterns are added to generate a first added image optimized for the upper-layer pattern and a second added image optimized for the lower-layer pattern, and the difference between the position of the upper-layer pattern identified by using the first added image and position of the lower-layer pattern identified by using the second added image is calculated.