首页> 外文会议>Conference on Photomask Technology; 20070918-21; Monterey,CA(US) >Enhancing productivity and sensitivity in mask production via a Fast Integrated die-to-database T+R Inspection
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Enhancing productivity and sensitivity in mask production via a Fast Integrated die-to-database T+R Inspection

机译:通过快速集成的芯片到数据库T + R检查提高掩模生产的生产率和灵敏度

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Inspection strategies of transmitted die-to-database pattern inspection (DBT), reflected die-to-database inspection (DBR) and STARlight2~TM (SL2) contamination inspection are employed by mask makers in order to detect pattern defects and contamination defects on photo-masks in process inspection steps and outgoing quality control (OQC). Currently, SL2 inspection is used to detect contamination defects while die-to-database inspections are used to detect pattern defects. However, such inspection strategies need two passes to detect both pattern defects and contamination defects. In this paper we introduce 'Fast Integrated Die-to-Database T+R' (Fast dbTR) and compare its detection capabilities and the productivity to conventional standard detection modes, such as, DBT, DBR and SL2. Programmed reticles and production reticles with pattern defects and contamination defects were used for comparative data collection. During the study, we collected and analyzed inspection data on critical layers such as lines & spaces and contact holes. Empirical data show that 'Fast dbTR' is able to cover the sensitivity required by DBT, DBR and SL2 to detect both pattern defects and contamination defects in one single scan without any loss of productivity in production runs.
机译:掩模制造商采用透射管芯到数据库图案检查(DBT),反射管芯到数据库检查(DBR)和STARlight2〜TM(SL2)污染检查的检查策略,以检测照片上的图案缺陷和污染缺陷-在过程检查步骤和外发质量控制(OQC)中使用蒙版。当前,SL2检查用于检测污染缺陷,而芯片到数据库检查用于检测图案缺陷。但是,这样的检查策略需要两次通过以检测图案缺陷和污染缺陷。在本文中,我们介绍了“快速集成管芯到数据库T + R”(快速dbTR),并将其检测能力和生产率与常规标准检测模式(例如DBT,DBR和SL2)进行了比较。具有图案缺陷和污染缺陷的编程标线和生产标线用于比较数据收集。在研究过程中,我们收集并分析了关键层(例如线和空间以及接触孔)上的检查数据。经验数据表明,“快速dbTR”能够覆盖DBT,DBR和SL2所需的灵敏度,以一次扫描即可检测出图案缺陷和污染缺陷,而不会降低生产运行的生产率。

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