DocumentCode
1050616
Title
Isolation of Highly Doped Implants on Low-Doped Active Layers for CMOS Radiation Drift Detectors
Author
Langfelder, Giacomo
Author_Institution
Electron. & Inf. Dept., Politec. di Milano, Milan, Italy
Volume
56
Issue
8
fYear
2009
Firstpage
1767
Lastpage
1773
Abstract
A method to avoid punchthrough between highly doped implants, built on low-doped substrates or epitaxial layers, is proposed. The technique, which is similar to other previously used in scientific pixel detectors, is here applied in a VLSI CMOS standard technology, to design electrically isolated pixels for radiation or particle detection using the source/drain implants as collecting electrodes. The isolation principle is based on the use of surface-implant stops of the opposite type of conductivity with respect to the collecting electrodes, combined with shallow trench isolations. The pixels can be biased at different voltages, allowing the creation of particular electric-field configurations within the silicon bulk. Significant carrier drift components in the direction parallel to the semiconductor surface can thus be obtained. A 90-nm standard CMOS test structure with 950-nm-spaced pixels that can be reverse biased with 10 V of relative difference without significant degradation of the dark current demonstrates the feasibility.
Keywords
CMOS image sensors; VLSI; dark conductivity; isolation technology; particle detectors; radiation detection; CMOS radiation drift detectors; VLSI CMOS standard technology; carrier drift components; dark current; electric-field configurations; electrically isolated pixels; epitaxial layers; highly doped implants; low-doped substrates; particle detection; pixel detectors; shallow trench isolations; CMOS technology; Conductivity; Electrodes; Epitaxial layers; Implants; Isolation technology; Radiation detectors; Substrates; Very large scale integration; Voltage; CMOS APS; drift detectors; implants isolation;
fLanguage
English
Journal_Title
Electron Devices, IEEE Transactions on
Publisher
ieee
ISSN
0018-9383
Type
jour
DOI
10.1109/TED.2009.2023019
Filename
5061529
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