Semi-automated repair verification of aerial images

Eric Poortinga; Thomas Schereubl; Rigo Richter

doi:10.1117/12.824327

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11 May 2009 Semi-automated repair verification of aerial images

Eric Poortinga, Thomas Schereubl, Rigo Richter

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Proceedings Volume 7379, Photomask and Next-Generation Lithography Mask Technology XVI; 73792D (2009) https://doi.org/10.1117/12.824327
Event: Photomask and NGL Mask Technology XVI, 2009, Yokohama, Japan

Abstract

Using aerial image metrology to qualify repairs of defects on photomasks is an industry standard. Aerial image metrology provides reasonable matching of 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 aerial image metrology activities to now include CD performance results in addition to the traditional intensity performance results. Discussed is the computer implemented semi-automated analysis of aerial images for repair verification activities. Newly designed user interfaces and algorithms could guide users through predefined analysis routines as to minimize errors. There are two main routines discussed here, one allowing multiple reference sites along with a test/defect site on a single image of repeating features. The second routine compares a test/defect measurement image with a reference measurement image. This paper highlights new functionality desirable for aerial image analysis as well as describes possible ways of its realization. Using structured analysis processes and innovative analysis tools could lead to a highly efficient and more reliable result reporting of repair verification metrology.

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Eric Poortinga, Thomas Schereubl, and Rigo Richter "Semi-automated repair verification of aerial images", Proc. SPIE 7379, Photomask and Next-Generation Lithography Mask Technology XVI, 73792D (11 May 2009); https://doi.org/10.1117/12.824327

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