28 June 2005 Monitoring system of CD error analysis for the 90-nm node mask manufacturing
Author Affiliations +
Proceedings Volume 5853, Photomask and Next-Generation Lithography Mask Technology XII; (2005); doi: 10.1117/12.617080
Event: Photomask and Next Generation Lithography Mask Technology XII, 2005, Yokohama, Japan
CD(Critical Dimension) Non-Uniformity on a mask is normally separable into global and local CD errors by means of their error sources. In general a global CD error trend on a mask shows the properties of each process. On the other hand, local CD errors on a mask are pretty much random and caused from mainly measurement errors, LER(Line Edge Roughness), and litho-shot errors. However, because of its difficulty to pin point the sources of errors and correct them, the local CD errors are required more attention. A Global CD error trend on a mask can be classified into several groups. One originating from vacuum delay, lithography error, bake and etch process will cause a side error trend on a mask. Others are fogging, radial trends of develop, and etch loading. In order to classify all those global CD errors and local CD errors, the proper monitoring mask must be required. The works on this paper mainly focalize on minimizing global CD error trends on a mask by separating and analyzing error components with proper monitoring system of each process. We therefore, provide a monitoring mask designed for efficiently representing global and local CD errors in more detailed fashion which can analyze CD errors of each process and make feed-back to each process in order to improve each process of mask manufacturing.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sang-Yong Yu, Soon-Ho Kim, Byung-Cheol Cha, Yong-Hoon Kim, Seung-Woon Choi, Hee-Sun Yoon, Woo-Sung Han, "Monitoring system of CD error analysis for the 90-nm node mask manufacturing", Proc. SPIE 5853, Photomask and Next-Generation Lithography Mask Technology XII, (28 June 2005); doi: 10.1117/12.617080; https://doi.org/10.1117/12.617080



Error analysis




Statistical analysis


Back to Top