Mieher
Walter Mieher, Los Gatos, CA US
Patent application number | Description | Published |
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20090135416 | Parametric Profiling Using Optical Spectroscopic Systems - A gallery of seed profiles is constructed and the initial parameter values associated with the profiles are selected using manufacturing process knowledge of semiconductor devices. Manufacturing process knowledge may also be used to select the best seed profile and the best set of initial parameter values as the starting point of an optimization process whereby data associated with parameter values of the profile predicted by a model is compared to measured data in order to arrive at values of the parameters. Film layers over or under the periodic structure may also be taken into account. Different radiation parameters such as the reflectivities R | 05-28-2009 |
20100235114 | SYSTEMS AND METHODS FOR DETERMINING ONE OR MORE CHARACTERISTICS OF A SPECIMEN USING RADIATION IN THE TERAHERTZ RANGE - Systems and methods for determining one or more characteristics of a specimen using radiation in the terahertz range are provided. One system includes an illumination subsystem configured to illuminate the specimen with radiation. The system also includes a detection subsystem configured to detect radiation propagating from the specimen in response to illumination of the specimen and to generate output responsive to the detected radiation. The detected radiation includes radiation in the terahertz range. In addition, the system includes a processor configured to determine the one or more characteristics of the specimen using the output. | 09-16-2010 |
20120281275 | Systems and Methods for Determining One or More Characteristics of a Specimen Using Radiation in the Terahertz Range - Systems and methods for determining one or more characteristics of a specimen using radiation in the terahertz range are provided. One system includes an illumination subsystem configured to illuminate the specimen with radiation. The system also includes a detection subsystem configured to detect radiation propagating from the specimen in response to illumination of the specimen and to generate output responsive to the detected radiation. The detected radiation includes radiation in the terahertz range. In addition, the system includes a processor configured to determine the one or more characteristics of the specimen using the output. | 11-08-2012 |
Walter D. Mieher, Los Gatos, CA US
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20090284744 | APPARATUS AND METHODS FOR DETECTING OVERLAY ERRORS USING SCATTEROMETRY - Disclosed are apparatus and methods for determining overlay between a plurality of first structures in a first layer of a sample and a plurality of second structures in a second layer of the sample. Targets A, B, C and D that each include a portion of the first and second structures are provided. The target A is designed to have an offset Xa between its first and second structures portions; the target B is designed to have an offset Xb between its first and second structures portions; the target C is designed to have an offset Xc between its first and second structures portions; and the target D is designed to have an offset Xd between its first and second structures portions. Each of the offsets Xa, Xb, Xc and Xd is different from zero, and Xa is an opposite sign and differ from Xb. Offset Xc is an opposite sign and differs from Xd. The offsets Xa, Xb, Xc and Xd are selected so that an overlay error, including the respective offset, is within a linear region of overlay values. The targets A, B, C and D are illuminated with electromagnetic radiation to obtain spectra S | 11-19-2009 |
20100091284 | APPARATUS AND METHODS FOR DETECTING OVERLAY ERRORS USING SCATTEROMETRY - Disclosed are techniques, apparatus, and targets for determining overlay error between two layers of a sample. A plurality of targets is provided. Each target includes a portion of the first and second structures and each is designed to have an offset between its first and second structure portions. The targets are illuminated with electromagnetic radiation to thereby obtain spectra from each target at a −1 | 04-15-2010 |
20140199618 | METHODS OF MEASURING OVERLAY ERRORS IN AREA-IMAGING E-BEAM LITHOGRAPHY - One embodiment relates to a method of measuring overlay errors for a programmable pattern, area-imaging electron beam lithography apparatus. Patterned cells of an overlay measurement target array may be printed in swaths such that they are superposed on patterned cells of a first (base) array. In addition, the overlay array may have controlled-exposure areas distributed within the swaths. The superposed cells of the overlay and base arrays are imaged. The overlay errors are then measured based on distortions between the two arrays in the image data. Alternatively, non-imaging methods, such as using scatterometry, may be used. Another embodiment relates to a method for correcting overlay errors for an electron beam lithography apparatus. Overlay errors for a pattern to be printed are determined based on within-swath exposure conditions. The pattern is then pre-distorted to compensate for the overlay errors. Other embodiments, aspects and features are also disclosed. | 07-17-2014 |
Walter Dean Mieher, Los Gatos, CA US
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20090291513 | OVERLAY MARKS, METHODS OF OVERLAY MARK DESIGN AND METHODS OF OVERLAY MEASUREMENTS - An overlay mark for determining the relative shift between two or more successive layers of a substrate and methods for using such overlay mark are disclosed. In one embodiment, the overlay mark includes at least one test pattern for determining the relative shift between a first and a second layer of the substrate in a first direction. The test pattern includes a first set of working zones and a second set of working zones. The first set of working zones are disposed on a first layer of the substrate and have at least two working zones diagonally opposed and spatially offset relative to one another. The second set of working zones are disposed on a second layer of the substrate and have at least two working zones diagonally opposed and spatially offset relative to one another. The first set of working zones are generally angled relative to the second set of working zones thus forming an “X” shaped test pattern. | 11-26-2009 |
20110307424 | DETERMINATION OF TRAINING SET SIZE FOR A MACHINE LEARNING SYSTEM - Automated determination of a number of profiles for a training data set to be used in training a machine learning system for generating target function information from modeled profile parameters. In one embodiment, a first principal component analysis (PCA) is performed on a training data set, and a second PCA is performed on a combined data set which includes the training data set and a test data set. A test data set estimate is generated based on the first PCA transform and the second PCA matrix. The size of error between the test data set and the test data set estimate is used to determine whether a number of profiles associated with the training data set is sufficiently large for training a machine learning system to generate a library of spectral information. | 12-15-2011 |