Abstract: A system and method for sensing an edge of a region includes at least one distance sensor configured to detect a plurality of distances of objects along a plurality of adjacent scan lines. A controller is in communication with the at least one distance sensor and is configured to determine a location of an edge of a region within the plurality of adjacent scan lines. The controller includes a comparator module configured to compare values corresponding to the detected plurality of distances, and an identification module configured to identify the location of the edge of the region according to the compared values. In one example, the values corresponding to the detected plurality of distances include couplets of standard deviations that are analyzed and selected to identify the location of the edge.

Abstract: The generation of flexible sparse metrology sample plans includes receiving a full set of metrology signals from one or more wafers from a metrology tool, determining a set of wafer properties based on the full set of metrology signals and calculating a wafer property metric associated with the set of wafer properties, calculating one or more independent characterization metrics based on the full set of metrology signals, and generating a flexible sparse sample plan based on the set of wafer properties, the wafer property metric, and the one or more independent characterization metrics. The one or more independent characterization metrics of the one or more properties calculated with metrology signals from the flexible sparse sampling plan is within a selected threshold from one or more independent characterization metrics of the one or more properties calculated with the full set of metrology signals.

Abstract: Adaptive alignment methods and systems are disclosed. An adaptive alignment system may include a scanner configured to align a wafer and an analyzer in communication with the scanner. The analyzer may be configured to: recognize at least one defined analysis area; determine whether any perturbations exist within the analysis area; and in response to at least one perturbation determined to be within the analysis area, invoke a fall back alignment strategy or report the at least one perturbation to the scanner.

Abstract: A system for determining a sample map for alignment measurements includes a metrology tool and a controller. The controller defines a full sampling map including a plurality of measurement locations. The controller directs the metrology tool to measure alignment at each measurement location of the full sampling map for a plurality of samples to generate a reference alignment dataset, generates candidate sampling maps, each being a subset of the full sampling map. The controller may further estimate alignment as a function of location based on the two or more candidate sampling maps at each measurement location of the full sampling map, and determine a working sampling map by comparing the estimated alignment to the reference alignment dataset and selecting the candidate sampling map having a smallest number of alignment estimates exceeding a selected tolerance.

Abstract: Methods and systems for providing overlay corrections are provided. A method may include: selecting an overlay model configured to perform overlay modeling for a wafer; obtaining a first set of modeled results from the overlay model, the first set of modeled results indicating adjustments applicable to a plurality of term coefficients of the overlay model; calculating a significance matrix indicating the significance of the plurality of term coefficients; identifying at least one less significant term coefficient among the plurality of term coefficients based on the calculated significance matrix; obtaining a second set of modeled results from the overlay model, the second set of modeled results indicating adjustments applicable to the plurality of term coefficients except for the identified at least one less significant term coefficient; and providing the second set of modeled results to facilitate overlay correction.

Abstract: A process control system includes a controller configured to generate a reference overlay signature based on one or more overlay reference layers of a sample, extrapolate the reference overlay signature to a set of correctable fields for the exposure of a current layer of the sample to generate a full-field reference overlay signature, identify one or more alignment fields of the set of correctable fields, generate an alignment-correctable signature by modeling alignment corrections for the set of correctable fields, subtract the alignment-correctable signature from the full-field reference overlay signature to generate feedforward overlay corrections for the current layer when the one or more overlay reference layers are the same as the one or more alignment reference layers, generate lithography tool corrections based on the feedforward overlay corrections, and provide the lithography tool corrections for the current layer to the lithography tool.

Abstract: A process control system may include a controller configured to receive after-development inspection (ADI) data after a lithography step for the current layer from an ADI tool, receive after etch inspection (AEI) overlay data after an exposure step of the current layer from an AEI tool, train a non-zero offset predictor with ADI data and AEI overlay data to predict a non-zero offset from input ADI data, generate values of the control parameters of the lithography tool using ADI data and non-zero offsets generated by the non-zero offset predictor, and provide the values of the control parameters to the lithography tool for fabricating the current layer on the at least one production sample.

Abstract: A semiconductor tool includes an illumination source to generate an illumination beam, one or more illumination optical elements to direct a portion of the illumination beam to a sample, a detector, one or more collection optical elements to direct radiation emanating from the sample to the detector, and a controller communicatively coupled to the detector. The controller is configured to measure alignment at a plurality of locations across the sample to generate alignment data, select an analysis area for alignment zone determination, divide the analysis area into two or more alignment zones having different alignment signatures; model the alignment data of at least a first alignment zone of the two or more alignment zones using a first alignment model, and model the alignment data of at least a second alignment zone of the two or more alignment zones using a second alignment model different than the first alignment model.

Abstract: A process control system includes a controller configured to generate a reference overlay signature based on one or more overlay reference layers of a sample, extrapolate the reference overlay signature to a set of correctable fields for the exposure of a current layer of the sample to generate a full-field reference overlay signature, identify one or more alignment fields of the set of correctable fields, generate an alignment-correctable signature by modeling alignment corrections for the set of correctable fields, subtract the alignment-correctable signature from the full-field reference overlay signature to generate feedforward overlay corrections for the current layer when the one or more overlay reference layers are the same as the one or more alignment reference layers, generate lithography tool corrections based on the feedforward overlay corrections, and provide the lithography tool corrections for the current layer to the lithography tool.

Abstract: A process control system may include a controller configured to receive after-development inspection (ADI) data after a lithography step for the current layer from an ADI tool, receive after etch inspection (AEI) overlay data after an exposure step of the current layer from an AEI tool, train a non-zero offset predictor with ADI data and AEI overlay data to predict a non-zero offset from input ADI data, generate values of the control parameters of the lithography tool using ADI data and non-zero offsets generated by the non-zero offset predictor, and provide the values of the control parameters to the lithography tool for fabricating the current layer on the at least one production sample.

Abstract: A system for determining a sample map for alignment measurements includes a metrology tool and a controller. The controller defines a full sampling map including a plurality of measurement locations. The controller directs the metrology tool to measure alignment at each measurement location of the full sampling map for a plurality of samples to generate a reference alignment dataset, generates candidate sampling maps, each being a subset of the full sampling map. The controller may further estimate alignment as a function of location based on the two or more candidate sampling maps at each measurement location of the full sampling map, and determine a working sampling map by comparing the estimated alignment to the reference alignment dataset and selecting the candidate sampling map having a smallest number of alignment estimates exceeding a selected tolerance.

Abstract: A semiconductor tool includes an illumination source to generate an illumination beam, one or more illumination optical elements to direct a portion of the illumination beam to a sample, a detector, one or more collection optical elements to direct radiation emanating from the sample to the detector, and a controller communicatively coupled to the detector. The controller is configured to measure alignment at a plurality of locations across the sample to generate alignment data, select an analysis area for alignment zone determination, divide the analysis area into two or more alignment zones having different alignment signatures; model the alignment data of at least a first alignment zone of the two or more alignment zones using a first alignment model, and model the alignment data of at least a second alignment zone of the two or more alignment zones using a second alignment model different than the first alignment model.

Abstract: Methods and systems for providing overlay corrections are provided. A method may include: selecting an overlay model configured to perform overlay modeling for a wafer; obtaining a first set of modeled results from the overlay model, the first set of modeled results indicating adjustments applicable to a plurality of term coefficients of the overlay model; calculating a significance matrix indicating the significance of the plurality of term coefficients; identifying at least one less significant term coefficient among the plurality of term coefficients based on the calculated significance matrix; obtaining a second set of modeled results from the overlay model, the second set of modeled results indicating adjustments applicable to the plurality of term coefficients except for the identified at least one less significant term coefficient; and providing the second set of modeled results to facilitate overlay correction.

Abstract: Adaptive alignment methods and systems are disclosed. An adaptive alignment system may include a scanner configured to align a wafer and an analyzer in communication with the scanner. The analyzer may be configured to: recognize at least one defined analysis area; determine whether any perturbations exist within the analysis area; and in response to at least one perturbation determined to be within the analysis area, invoke a fall back alignment strategy or report the at least one perturbation to the scanner.

Abstract: The generation of flexible sparse metrology sample plans includes receiving a full set of metrology signals from one or more wafers from a metrology tool, determining a set of wafer properties based on the full set of metrology signals and calculating a wafer property metric associated with the set of wafer properties, calculating one or more independent characterization metrics based on the full set of metrology signals, and generating a flexible sparse sample plan based on the set of wafer properties, the wafer property metric, and the one or more independent characterization metrics. The one or more independent characterization metrics of the one or more properties calculated with metrology signals from the flexible sparse sampling plan is within a selected threshold from one or more independent characterization metrics of the one or more properties calculated with the full set of metrology signals.

Abstract: A method of making a glass container comprising providing a mold defining an article having a base at a bottom of the mold cavity where the mold cavity comprises an undercut portion that defines a recess in the mold cavity; introducing molten glass to the mold; cooling the glass to cause the glass to shrink a sufficient amount that the protuberance recedes from the recess; and removing the container from the mold in a linear direction.

Abstract: Systems and methods are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In certain embodiments, a quantitative measure of spiculation and quantitative measure of density are computed for each suspicious mass located. At least one classification scheme, developed using true and false positives with similar quantitative measures, is then selected for each suspicious mass according to both quantitative measures. In certain other embodiments, a measure of breast location is computed for each suspicious mass. In one embodiment, the location determines whether a suspicious mass appears inside or outside of the parenchyma region of the breast.

Abstract: A method of making a glass container comprising providing a mold defining an article having a base at a bottom of the mold cavity where the mold cavity comprises an undercut portion that defines a recess in the mold cavity; introducing molten glass to the mold; cooling the glass to cause the glass to shrink a sufficient amount that the protuberance recedes from the recess; and removing the container from the mold in a linear direction.

Abstract: A glass container system comprises a glass container comprising a base defining a bottom of the container and a sidewall formed integrally with the base to define an interior space. A protuberance is formed integrally with the base where the protuberance extending beyond a side wall of the base. A lid is dimensioned such that the protuberance engages the lid such that the lid may be releasably secured to the base. A glass container prepared by a process comprising the steps of providing a mold defining a container having a base at a bottom of the mold cavity where the mold cavity comprises an undercut portion that defines a recess in the mold cavity; introducing molten glass to the mold; cooling the glass to cause the glass to shrink a sufficient amount that the protuberance recedes from the recess; and removing the container from the mold in a linear direction.

Abstract: Methods are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In certain embodiments, a quantitative measure of spiculation and quantitative measure of density are computed for each suspicious mass located. At least one classification scheme, developed using true and false positives with similar quantitative measures, is then selected for each suspicious mass according to both quantitative measures. In certain other embodiments, a measure of breast location is computed for each suspicious mass. In one embodiment, the location determines whether a suspicious mass appears inside or outside of the parenchyma region of the breast.