There is provided an ion implanter including a beam generation device that generates an ion beam, based on an implantation recipe, a plurality of measurement devices that measure at least one physical quantity of the ion beam, and a control device that acquires a data set including a plurality of measurement values measured by the plurality of measurement devices, and evaluates measurement validity of the at least one physical quantity of the ion beam by using a model representing a correlation between the plurality of measurement values.

An ion implanter including a beam generation device that generates an ion beam, based on an implantation recipe, a plurality of measurement devices that measure beam currents of the ion beam, and a control device. The control device acquires a data set including the beam currents and an implantation parameter in the implantation recipe, and evaluates measurement validity of the beam currents of the ion beam by using the model. The implantation parameter may be one of ion species, beam energy, a beam current, a beam size, a wafer tilt angle, a wafer twist angle and an average dose. The model may be built based on a plurality of past data sets acquired during a plurality of implantation process based on the implantation recipe.

Methods for fracturing or mask data preparation are disclosed in which a set of single-beam charged particle beam shots is input; a calculated image is calculated using a neural network, from the set of single-beam charged particle beam shots; and a set of multi-beam shots is generated based on the calculated image, to convert the set of single-beam charged particle beam shots to the set of multi-beam shots which will produce a surface image on the surface. Methods for training a neural network include inputting a set of single-beam charged particle beam shots; calculating a set of calculated images using the set of single-beam charged particle beam shots; and training the neural network with the set of calculated images.

Disclosed is a method of diagnosing a conversion process for converting a format of image data including unit data corresponding to charged particle beams into a format suitable for an aperture array, the aperture array having a plurality of controllers provided to match a plurality of the charged particle beams to control the charged particle beams, and a driver configured to drive the controllers. The method includes: extracting the unit data having an identical first rank based on an arrangement of the unit data in the image data from the unit data of each block including a predetermined number of the unit data and calculating a first checksum of each of the first rank; extracting the unit data having an identical second rank after the conversion process from the unit data of each block and calculating a second checksum of each of the second rank; and comparing the first and second checksums.

To implement a charged particle beam device including an iron thin film spin detector. The charged particle beam device includes: a charged particle column 201 configured to perform scanning on a sample 203 with a charged particle beam 202; a spin detector including an iron thin film 207, a plurality of coils 208 configured to magnetize the iron thin film, a conveying lens 206 configured to focus, on the iron thin film, secondary electrons 204 emitted from the sample due to irradiation of the charged particle beam, and an electron detector 210 configured to detect backscattered electrons 209 emitted due to the iron thin film being irradiated with the secondary electrons; and a control unit 217 configured to control switching of a magnetization direction of the iron thin film in synchronization with scanning of one line with the charged particle beam from the charged particle column.

In one embodiment, a multi-beam writing method includes forming a beam array of a multi-beam, assigning sub-beam arrays to each of a plurality of sub-stripe regions, the sub-stripe regions being obtained by dividing a region on the substrate, and the sub-beam arrays being obtained by dividing the beam array, calculating an irradiation time modulation rate being used for each beam belonging to each of the sub-beam arrays, calculating a weight for each of the sub-beam arrays based on the irradiation time modulation rate for each of the beams belonging to a group of the sub-beam arrays, and assigning the calculated weight to the sub-beam array, and performing multiple writing on each of the sub-stripe regions by performing writing on each of the sub-stripe regions with the sub-beam arrays, based on the weight assigned to the sub-beam array and the irradiation time modulation rate of the beam belonging to the sub-beam array.

In one embodiment, a data generation method is for calculating a coverage of a polygon in each of a plurality of pixels obtained by dividing a target to be irradiated with a charged particle beam into predetermined sizes. The method includes dividing a parametric curve that defines a pattern shape into a plurality of parametric curves, calculating, for each of the plurality of parametric curves, an area of a region surrounded by a segment connecting end points among control points of the parametric curve and the parametric curve, calculating positions of vertexes of a figure having an area equivalent to the calculated area and having, as one side thereof, the segment connecting the end points, and generating the polygon by using the vertexes.

An ion implanter including a beam generation device that generates an ion beam, based on an implantation recipe, a plurality of measurement devices that measure beam currents of the ion beam, and a control device. The control device acquires a data set including the beam currents and an implantation parameter in the implantation recipe, and evaluates measurement validity of the beam currents of the ion beam by using the model. The implantation parameter may be one of ion species, beam energy, a beam current, a beam size, a wafer tilt angle, a wafer twist angle and an average dose. The model may be built based on a plurality of past data sets acquired during a plurality of implantation process based on the implantation recipe.

In one embodiment, a data generation method is for calculating a coverage of a polygon in each of a plurality of pixels obtained by dividing a target to be irradiated with a charged particle beam into predetermined sizes. The method includes dividing a parametric curve that defines a pattern shape into a plurality of parametric curves, calculating, for each of the plurality of parametric curves, an area of a region surrounded by a segment connecting end points among control points of the parametric curve and the parametric curve, calculating positions of vertexes of a figure having an area equivalent to the calculated area and having, as one side thereof, the segment connecting the end points, and generating the polygon by using the vertexes.

There is provided an ion implanter including a beam generation device that generates an ion beam, based on an implantation recipe, a plurality of measurement devices that measure at least one physical quantity of the ion beam, and a control device that acquires a data set including a plurality of measurement values measured by the plurality of measurement devices, and evaluates measurement validity of the at least one physical quantity of the ion beam by using a model representing a correlation between the plurality of measurement values.