Abstract:
La présente invention concerne des systèmes et des procédés qui fournissent des capacités d'inspection des microdéfauts à des systèmes optiques tels que des outils de métrologie et des systèmes interférométriques pour plaquettes. Les systèmes et procédés selon la présente invention permettent de détecter, de classer et de quantifier des caractéristiques de surface d'une plaquette, les défauts détectés étant classés et des informations importantes de métrologie des défauts que sont la hauteur/profondeur, l'aire et le volume étant consignées. Les systèmes et les procédés selon la présente invention fournissent par conséquent un plus grand nombre de valeurs qui permettent de quantifier l'effet négatif de ces défauts sur la qualité des plaquettes.
Abstract:
A method for enabling more accurate measurements of localized features on wafers is disclosed. The method includes: a) performing high order surface fitting to more effectively remove the low frequency shape components and also to reduce possible signal attenuations commonly observed from filtering; b) constructing and applying a proper two dimensional LFM window to the residual image from the surface fitting processing stage to effectively reduce the residual artifacts at the region boundaries; c) calculating the metrics of the region using the artifact-reduced image to obtain more accurate and reliable measurements; and d) using site-based metrics obtained from front and back surface data to quantify the features of interest. A method for filtering data from measurements of localized features on wafers is disclosed. This method includes an algorithm designed to adjust the filtering behavior according to the statistics of extreme data samples. A method for utilizing the 2D window and the data filtering to yield a more robust and more accurate Localized Feature quantification methodology is disclosed.
Abstract:
Disclosed herein is a system and method for enhanced and expanded localized geometry characterization. Objects of interest are classified according to user-defined parameters, and this enables enhanced contrast and more accurate feature detection, as well as more accurately defined feature object regions.
Abstract:
A system and method for enhanced and expanded localized geometry characterization. Objects of interest are enhanced, detected, and classified according to user-defined parameters, and this enables enhanced contrast and more accurate feature detection, as well as more accurately defined feature object regions for feature geometry measurement and characterization.