Paper
26 May 2010 Productivity improvement of high resolution inspection mode on TeraScan 597XR
Hidemichi Imai, Takeshi Kosuge, Kei Mesuda, Eiji Tsujimoto, Hideyoshi Takamizawa
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Abstract
At 32nm node and beyond, a common approach in defect inspection (high resolution inspection mode) to cope with aggressively OPCed mask patterns including SRAFs, is the utilization of small pixel size inspection. In fact the sensitivity is increased by using smaller pixel size for the high resolution inspection, but at the same time the throughput of the defect inspection tool falls. In this paper, we propose that one of the solutions to improve inspection throughput is pixel migration. KLA-Tencor's TeraScan[1] XR improves SNR (Signal to Noise Ratio) for higher sensitivity as comparison with TeraScanHR, so that pixel migration is possible. For tool performance confirmation, TeraScanXR has improved in defect sensitivity and SRAF MRC (Mask Rule Check) limitation as comparison with TeraScanHR. We confirmed that pixel migration is one of the solutions to control inspection time growth of next generation mask. For printability simulation of pixel migration, we confirmed the possibility of Brion's Mask-LMC[2] (Mask-Lithography Manufacturability Check) defect classification by lower SNR image. For experiment to achieve higher sensitivity, we confirmed defect sensitivity improvement with experimental condition and considered the model to achieve higher sensitivity.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hidemichi Imai, Takeshi Kosuge, Kei Mesuda, Eiji Tsujimoto, and Hideyoshi Takamizawa "Productivity improvement of high resolution inspection mode on TeraScan 597XR", Proc. SPIE 7748, Photomask and Next-Generation Lithography Mask Technology XVII, 77480Q (26 May 2010); https://doi.org/10.1117/12.867983
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Cited by 2 scholarly publications.
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KEYWORDS
Inspection

Pellicles

Opacity

Photomasks

Image transmission

Signal to noise ratio

Databases

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