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DOI | 10.1117/12.899779 |
In-die Job automation for PROVE (TM) | |
Lesnick, Ronald J., Jr.1; Kim, Stephen1; Waechter, Matthias2; Seidel, Dirk2; Mueller, Andreas2; Beyer, Dirk2 | |
通讯作者 | Lesnick, Ronald J., Jr. |
会议名称 | Conference on Photomask and Next-Generation Lithography Mask Technology XVIII |
会议日期 | APR 13-15, 2011 |
会议地点 | Yokohama, JAPAN |
英文摘要 | The increasing demands for registration metrology for repeatability, accuracy, and resolution in order to be able to perform measurements in the active area on production features have prompted the development of PROVE (TM), the next-generation registration metrology tool that utilizes 193nm illumination and a metrology stage that is actively controlled in all six degrees of freedom. PROVE (TM) addresses full in-die capability for double patterning lithography and sophisticated inverse - lithography schemes. Innovative approaches for image analysis, such as 2D correlation, have been developed to achieve this demanding goal. In order to take full advantage of the PROVE (TM) resolution and measurement capabilities, a direct link to the mask data preparation for job automation and marker identification is inevitable. This paper describes an integrated solution using Synopsys' CATS (R) for extracting and preparing tool-specific job input data for PROVE. In addition to the standard marking functionalities, CATS (R) supports the 2D correlation method by providing reference clips in OASIS.MASK format. |
英文关键词 | registration pattern placement metrology resolution |
来源出版物 | PHOTOMASK AND NEXT-GENERATION LITHOGRAPHY MASK TECHNOLOGY XVIII |
ISSN | 0277-786X |
出版年 | 2011 |
卷号 | 8081 |
EISBN | 978-0-81948-673-8 |
出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | USA;Germany |
收录类别 | CPCI-S |
WOS记录号 | WOS:000293339900013 |
WOS类目 | Optics |
WOS研究方向 | Optics |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/299796 |
作者单位 | 1.Synopsys Inc, Mountain View, CA 94043 USA; 2.Carl Zeiss SMS GmbH, Jena, Germany |
推荐引用方式 GB/T 7714 | Lesnick, Ronald J., Jr.,Kim, Stephen,Waechter, Matthias,et al. In-die Job automation for PROVE (TM)[C]:SPIE-INT SOC OPTICAL ENGINEERING,2011. |
条目包含的文件 | 条目无相关文件。 |
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