Abstract: The method and apparatus for processing distorted image is provided by the present invention, and the distortion parameter of the distorted image is obtained after a terminal implements the image conversion processing for an obtained distorted image; the terminal implements recovery processing for the distorted image based on the distortion parameter. The method and apparatus of the present invention could ensure that the terminal recovers a distorted image to a clear image quickly and accurately, improving the user's experience.

Abstract: A dual optical metrology system includes a first metrology device and a second metrology device, each producing light at different oblique angles of incidence on the same spot of a sample from different azimuth angles. The dual optical metrology system further includes a rotating stage or flip mirrors capable of altering the orientation of the light beams so the first and second metrology devices can measure the same spot on the sample at different orientations. Thus, the first and second metrology devices generate first and second sets of optical metrology data, respectively, at a first orientation with respect to the sample. After the sample is rotated, the first and second metrology devices generate third and fourth sets of optical metrology data. The first, second, third, and fourth sets of data can then be used to determine one or more parameters of the sample.

Abstract: A sample with at least a first structure and a second structure is measured and a first model and a second model of the sample are generated. The first model models the first structure as an independent variable and models the second structure. The second model of the sample models the second structure as an independent variable. The measurement, the first model and the second model together to determine at least one desired parameter of the sample. For example, the first structure may be on a first layer and the second structure may be on a second layer that is under the first layer, and the processing of the sample may at least partially remove the first layer, wherein the second model models the first layer as having a thickness of zero.

Abstract: The method and apparatus for processing distorted image is provided by the present invention, and the distortion parameter of the distorted image is obtained after a terminal implements the image conversion processing for an obtained distorted image; the terminal implements recovery processing for the distorted image based on the distortion parameter. The method and apparatus of the present invention could ensure that the terminal recovers a distorted image to a clear image quickly and accurately, improving the user's experience.

Abstract: A sample with at least a first structure and a second structure is measured and a first model and a second model of the sample are generated. The first model models the first structure as an independent variable and models the second structure. The second model of the sample models the second structure as an independent variable. The measurement, the first model and the second model together to determine at least one desired parameter of the sample. For example, the first structure may be on a first layer and the second structure may be on a second layer that is under the first layer, and the processing of the sample may at least partially remove the first layer, wherein the second model models the first layer as having a thickness of zero.

Abstract: A model of a sample with a periodic or non-periodic pattern of conductive and transparent materials is produced based on the effect that the pattern has on TE polarized incident light. The model of the pattern may include a uniform film of the transparent material and an underlying uniform film of the conductive material. When the pattern has periodicity in two directions, the model may include a uniform film of the transparent material and an underlying portion that based on the physical characteristics of the periodic pattern in the TM polarization direction. When the sample includes an underlying periodic pattern that is orthogonal to the top periodic pattern, the sample may be modeled by modeling the physical characteristics of the top periodic pattern and the effect of the bottom periodic pattern. The model may be stored and used to determine a characteristic of the sample.

Abstract: A sample that is processed to remove a top layer, e.g., using chemical mechanical polishing or etching, is accurately measured using multiple models of the sample. The multiple models may be constrained based on a pre-processing measurement of the sample. By way of example, the multiple models of the sample may be linked in pairs, where one pair includes a model simulating the pre-processed sample and another model simulating the post-processed sample with a portion of the top layer remaining, i.e., under-processing. Another pair of linked models includes a model simulating the pre-processed sample and a model simulating the post-processing sample with the top layer removed, i.e., the correct amount of processing or over-processing. The underlying layers in the linked model pairs are constrained to have the same parameters. The modeling process may use a non-linear regression or libraries.

Abstract: An empirical diffraction based overlay (eDBO) measurement of an overlay error is produced using diffraction signals from a plurality of diffraction based alignment pads from an alignment target. The linearity of the overlay error is tested using the same diffraction signals or a different set of diffraction signals from diffraction based alignment pads. Wavelengths that do not have a linear response to overlay error may be excluded from the measurement error.

Abstract: An overlay error is determined using a diffraction based overlay target by generating a number of narrow band illumination beams that illuminate the overlay target. Each beam has a different range of wavelengths. Images of the overlay target are produced for each different range of wavelengths. An intensity value is then determined for each range of wavelengths. In an embodiment in which the overlay target includes a plurality of measurement pads, which may be illuminated and imaged simultaneously, an intensity value for each measurement pad in each image is determined. The intensity value may be determined statistically, such as by summing, finding the mean or median of the intensity values of pixels in the image. Spectra is then constructed using the determined intensity value, e.g., for each measurement pad. Using the constructed spectra, the overlay error may then be determined.

Abstract: A model of a sample with a periodic or non-periodic pattern of conductive and transparent materials is produced based on the effect that the pattern has on TE polarized incident light. The model of the pattern may include a uniform film of the transparent material and an underlying uniform film of the conductive material. When the pattern has periodicity in two directions, the model may include a uniform film of the transparent material and an underlying portion that based on the physical characteristics of the periodic pattern in the TM polarization direction. When the sample includes an underlying periodic pattern that is orthogonal to the top periodic pattern, the sample may be modeled by modeling the physical characteristics of the top periodic pattern and the effect of the bottom periodic pattern. The model may be stored and used to determine a characteristic of the sample.

Abstract: A sample that is processed to remove a top layer, e.g., using chemical mechanical polishing or etching, is accurately measured using multiple models of the sample. The multiple models may be constrained based on a pre-processing measurement of the sample. By way of example, the multiple models of the sample may be linked in pairs, where one pair includes a model simulating the pre-processed sample and another model simulating the post-processed sample with a portion of the top layer remaining, i.e., under-processing. Another pair of linked models includes a model simulating the pre-processed sample and a model simulating the post-processing sample with the top layer removed, i.e., the correct amount of processing or over-processing. The underlying layers in the linked model pairs are constrained to have the same parameters. The modeling process may use a non-linear regression or libraries.

Abstract: A metrology system performs optical metrology while holding a sample with an unknown focus offset. The measurements are corrected by fitting for the focus offset in a model regression analysis. Focus calibration is used to determine the optical response of the metrology device to the focus offset. The modeled data is adjusted based on the optical response to the focus offset and the model regression analysis fits for the focus offset as a variable parameter along with the sample characteristics that are to be measured. Once an adequate fit is determined, the values of the sample characteristics to be measured are reported. The adjusted modeled data may be stored in a library, or alternatively, modeled data may be adjusted in real-time.

Abstract: A residue detection system collects at least one of the spectrum and image from a measurement region on a sample. Spectral analysis is performed on the collected spectrum to determine whether residue is present and if so the thickness of the residue. The spectral analysis uses a calibration metric that correlates a monitoring parameter to the thickness of the residue. The monitoring parameter is at least one of the reflectance value at one or more of the local minima and maxima in the spectrum, the shape of one or more of the local minima and maxima in the spectrum, and the difference in reflectance values between at least two of the local minima and maxima in the spectrum. In one embodiment, imaging analysis is performed on the collected image of the measurement region if no residue is detected by the spectral analysis.