Nanometrics Inc.

Zhuan Liu

Ye Feng

Jiangtao Hu

Yudong Hao

Shifang Li

Jie Li

Nigel P Smith

Silvio J Rabello

Yongdong Liu

Sangbong Lee

Chandra Saravanan

Bingqing Li

A measurement target for a semiconductor device is designed. The semiconductor device includes a structure to be measured that has a spectrum response that is comparable to or below system noise level for an optical critical dimension measurement device to be used to measure the structure. The measurement target is designed by obtaining a process window and design rules for the semiconductor device and determining prospective pitches through modeling to identify pitches that produce a spectrum response from the structures that is at least 10 times greater than a system noise level for the optical critical dimension measurement device. A resonance window for each prospective pitch is determined and robustness of the resonance window is determined through modeling. Pitches of the array are selected based on the prospective pitches, resonance windows, and robustness. The target design may accordingly be produced and used to generate a measurement target.

Optical critical dimension target design

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.

Diffraction based overlay linearity testing

An optical metrology device simultaneously detects light with multiple angles of incidence (AOI) and/or multiple azimuth angles to determine at least one parameter of a sample. The metrology device focuses light on the sample using an optical system with a large numerical aperture, e.g., 0.2 to 0.9. Multiple channels having multiple AOIs and/or multiple azimuth angles are selected simultaneously by passing light reflected from the sample through a plurality of pupils in a pupil plate. Beamlets produced by the plurality of pupils are detected, e.g., with one or more spectrophotometers, to produce data for the multiple AOIs and/or multiple azimuth angles. The data for multiple AOI and/or multiple azimuth angles may then be processed to determine at least one parameter of the sample, such as profile parameters or overlay error.

Optical metrology with multiple angles of incidence and/or azimuth angles

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.

Measurement of a sample using multiple models

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.

Modeling conductive patterns using an effective model

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.

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.

Correction of optical metrology for focus offset

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.

Growing community of inventors

Fremont, CA, United States of America

Zhuan Liu