Enhanced dispositioning of reticle defects using the Virtual Stepper with automated defect severity scoring

Lynn Cai; Khoi A. Phan; Chris A. Spence; Linyong Pang; Kevin K. Chan

doi:10.1117/12.438388

5 September 2001 Enhanced dispositioning of reticle defects using the Virtual Stepper with automated defect severity scoring

Lynn Cai, Khoi A. Phan, Chris A. Spence, Linyong Pang, Kevin K. Chan

Author Affiliations +

Proceedings Volume 4409, Photomask and Next-Generation Lithography Mask Technology VIII; (2001) https://doi.org/10.1117/12.438388
Event: Photomask and Next Generation Lithography Mask Technology VIII, 2001, Kanagawa, Japan

Abstract

As Optical Proximity Correction (OPC0 and Phase Shifting (PSM) become more and more commonly used for producing smaller features on wafer, the photomask (reticle) manufacturing, that is mask writing, inspection and repairing, and quality assurance become more challenging for both mask shops and wafer fabs. Consequently, a powerful defect analysis tool is needed to determine which defect is a nuisance defect, which defect needs to be repaired, and how good is the repair. It should have the capability for defect printability prediction and analysis of defect impact on device performance. In this paper, we will study and characterize the printability prediction of programmed defects on binary OPC masks by the Virtual Stepper System with its newly developed Automated Defect Severity Scoring (ADSS) function. AMD's defect test reticles HellOPC2 were used. The Virtual Stepper simulation and defect impact analysis results (the automatically calculated Defect Severity Score) will be compared to the SEM images and measurements of wafer prints using 193nm lithography. The results demonstrate that the Virtual Stepper System with its ADSS feature can provide its user with an automate, fast and accurate way of analyzing the impact of a defect. The Virtual Stepper System with ADSS function will be a suitable tool for photomask defect critically assessment in mask shops and wafer fabs.

Citation Download Citation

Lynn Cai, Khoi A. Phan, Chris A. Spence, Linyong Pang, and Kevin K. Chan "Enhanced dispositioning of reticle defects using the Virtual Stepper with automated defect severity scoring", Proc. SPIE 4409, Photomask and Next-Generation Lithography Mask Technology VIII, (5 September 2001); https://doi.org/10.1117/12.438388

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available