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    • 3. 发明申请
    • Imaging Diffraction Based Overlay
    • 基于成像衍射的覆盖
    • US20090296075A1
    • 2009-12-03
    • US12129448
    • 2008-05-29
    • Jiangtao HuChandra Saru SaravananSilvio J. RabelloZhuan LiuNigel P. Smith
    • Jiangtao HuChandra Saru SaravananSilvio J. RabelloZhuan LiuNigel P. Smith
    • G01N21/00
    • G03F7/70633
    • 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.
    • 通过产生照亮覆盖目标的许多窄带照明光束,使用基于衍射的覆盖目标确定覆盖误差。 每个波束具有不同的波长范围。 为每个不同的波长范围产生覆盖目标的图像。 然后确定每个波长范围的强度值。 在其中覆盖目标包括可以同时照明和成像的多个测量焊盘的实施例中,确定每个图像中每个测量焊盘的强度值。 可以统计地确定强度值,例如通过求和,找到图像中的像素的强度值的平均值或中值。 然后使用确定的强度值构建光谱,例如,对于每个测量垫。 使用构造的光谱,可以确定覆盖误差。
    • 4. 发明授权
    • Measurement of a sample using multiple models
    • 使用多个模型测量样品
    • US08501501B1
    • 2013-08-06
    • US13559524
    • 2012-07-26
    • Ye FengZhuan Liu
    • Ye FengZhuan Liu
    • G01R31/26H01L21/66
    • G01B11/0625
    • 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.
    • 测量具有至少第一结构和第二结构的样品,并且生成样品的第一模型和第二模型。 第一个模型将第一个结构模型化为独立变量,并对第二个结构进行建模。 样本的第二个模型将第二个结构模型作为一个独立变量。 测量,第一模型和第二模型一起确定样本的至少一个期望参数。 例如,第一结构可以在第一层上,并且第二结构可以在第一层下面的第二层上,并且样品的处理可以至少部分地去除第一层,其中第二模型将 第一层的厚度为零。
    • 5. 发明授权
    • Measurement of a sample using multiple models
    • 使用多个模型测量样品
    • US08252608B1
    • 2012-08-28
    • US13301317
    • 2011-11-21
    • Ye FengZhuan Liu
    • Ye FengZhuan Liu
    • G01R31/26H01L21/66
    • G01B11/0625
    • 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.
    • 测量具有至少第一结构和第二结构的样品,并且生成样品的第一模型和第二模型。 第一个模型将第一个结构模型化为独立变量,并对第二个结构进行建模。 样本的第二个模型将第二个结构模型作为一个独立变量。 测量,第一模型和第二模型一起确定样本的至少一个期望参数。 例如,第一结构可以在第一层上,并且第二结构可以在第一层下面的第二层上,并且样品的处理可以至少部分地去除第一层,其中第二模型将 第一层的厚度为零。
    • 6. 发明授权
    • Characterizing residue on a sample
    • 表征样品上的残留物
    • US07362448B1
    • 2008-04-22
    • US10937248
    • 2004-09-08
    • Zhuan LiuSangbong LeeJiangtao HuChandra Saravanan
    • Zhuan LiuSangbong LeeJiangtao HuChandra Saravanan
    • G01B11/02
    • G01B11/0625G01N21/31G01N21/9501
    • 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.
    • 残留物检测系统从样品的测量区域收集至少一个光谱和图像。 对收集的光谱进行光谱分析,以确定残留物是否存在,如果是残留物的厚度。 光谱分析使用将监测参数与残留物厚度相关联的校准度量。 监测参数是光谱中局部最小值和最大值中的一个或多个的反射率值中的至少一个,光谱中的局部最小值和最大值中的一个或多个的形状,以及至少 光谱中的两个局部最小值和最大值。 在一个实施例中,如果通过光谱分析检测不到残留物,则对测量区域的所收集的图像执行成像分析。
    • 8. 发明授权
    • Measurement of a sample using multiple models
    • 使用多个模型测量样品
    • US07465590B1
    • 2008-12-16
    • US11173315
    • 2005-06-30
    • Ye FengZhuan Liu
    • Ye FengZhuan Liu
    • G01R31/26
    • G01B11/0625
    • 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.
    • 使用样品的多个模型精确地测量被处理以去除顶层的样品,例如使用化学机械抛光或蚀刻。 可以基于样品的预处理测量来约束多个模型。 作为示例,样本的多个模型可以成对连接,其中一对包括模拟预处理样本的模型,以及模拟后处理样本的另一模型,其中剩余的顶层的一部分,即,在 处理。 另一对链接模型包括模拟预处理样品的模型和模拟后处理样品的模型,其中去除了顶层,即正确的处理量或过度处理量。 链接模型对中的底层被限制为具有相同的参数。 建模过程可能使用非线性回归或库。
    • 10. 发明授权
    • Modeling conductive patterns using an effective model
    • 使用有效模型建模导电图案
    • US08126694B2
    • 2012-02-28
    • US12114700
    • 2008-05-02
    • Zhuan LiuJiangtao HuYudong Hao
    • Zhuan LiuJiangtao HuYudong Hao
    • G06F17/50G06F17/00G06G7/62
    • G01N21/211G01B11/0641
    • 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.
    • 基于图案对TE偏振入射光的影响,产生具有导电和透明材料的周期性或非周期性图案的样品的模型。 图案的模型可以包括透明材料的均匀膜和导电材料的下面的均匀膜。 当图案在两个方向上具有周期性时,该模型可以包括透明材料的均匀膜和基于TM偏振方向上的周期性图案的物理特性的底层部分。 当样本包括与顶部周期性图案正交的下面的周期性图案时,可以通过对顶部周期性图案的物理特性和底部周期性图案的影响进行建模来对样本进行建模。 该模型可以被存储并用于确定样品的特性。