Paper
23 September 2009 New analysis tools and processes for mask repair verification and defect disposition based on AIMS images
Author Affiliations +
Abstract
Using AIMSTM to qualify repairs of defects on photomasks is an industry standard. AIMSTM images match the lithographic imaging performance without the need for wafer prints. Utilization of this capability by photomask manufacturers has risen due to the increased complexity of layouts incorporating RET and phase shift technologies. Tighter specifications by end-users have pushed AIMSTM analysis to now include CD performance results in addition to the traditional intensity performance results. Discussed is a new Repair Verification system for automated analysis of AIMSTM images. Newly designed user interfaces and algorithms guide users through predefined analysis routines as to minimize errors. There are two main routines discussed, one allowing multiple reference sites along with a test/defect site within a single image of repeating features. The second routine compares a test/defect measurement image with a reference measurement image. Three evaluation methods possible with the compared images are discussed in the context of providing thorough analysis capability. This paper highlights new functionality for AIMSTM analysis. Using structured analysis processes and innovative analysis tools leads to a highly efficient and more reliable result reporting of repair verification analysis.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rigo Richter, Eric Poortinga, and Thomas Scheruebl "New analysis tools and processes for mask repair verification and defect disposition based on AIMS images", Proc. SPIE 7488, Photomask Technology 2009, 74882V (23 September 2009); https://doi.org/10.1117/12.835948
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KEYWORDS
Photomasks

Image analysis

Image processing

Semiconducting wafers

Error analysis

Analytical research

Manufacturing

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