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Specific Process Knowledge/Lithography/DUVStepperLithography/Optimization and Simulation: Difference between revisions

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However, one of the key issues for lithographic optimization is the definition of metrics needed to classify the process quality. With the help of the Prolith™ software from KLA-Tencor the focus-exposure matrix can be used to determine a process window that leads to a maximized depth of focus for the required specification, as i.e. the desired target CD, the exposure latitude, the resist loss and/or the side-wall angles. Figure 1 () shows the focus-exposure matrix of a pin-hole-array, including the relevant information obtained by a simulation, i.e. the isofocal point, the target CD, the resist bias and the isofocal bias. Secondly, with the help of the gradient-based approach, the gradients of the image that is projected and recorded into the photoresist can be used as a metric for both the achieved image and resist contrast. In Figure 2 the normalized image log-slope (NILS) is defined as the slope of the light intensity at the four different pattern edges for a double pin pattern. For each pattern edge - indicated by stars- an optimum NA or sigma value can be found leading to the larges light intensity slope at the individual edge.
However, one of the key issues for lithographic optimization is the definition of metrics needed to classify the process quality. With the help of the Prolith™ software from KLA-Tencor the focus-exposure matrix can be used to determine a process window that leads to a maximized depth of focus for the required specification, as i.e. the desired target CD, the exposure latitude, the resist loss and/or the side-wall angles. Figure 1 shows the focus-exposure matrix of a pin-hole-array, including the relevant information obtained by a simulation, i.e. the isofocal point, the target CD, the resist bias and the isofocal bias. Secondly, with the help of the gradient-based approach, the gradients of the image that is projected and recorded into the photoresist can be used as a metric for both the achieved image and resist contrast. In Figure 2 the normalized image log-slope (NILS) is defined as the slope of the light intensity at the four different pattern edges for a double pin pattern. For each pattern edge - indicated by stars- an optimum NA or sigma value can be found leading to the larges light intensity slope at the individual edge.
[[image:Focus_Exposure_Matrix.gif|500px]]
[[image:Focus_Exposure_Matrix.gif|600px]]
[[image:NILS.gif|400px]]
[[image:NILS.gif|600px]]