Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Spectroscopic Characterization of Semiconductor Surface Impurities by Near-Field Scanning Optical Microscopy

Not Accessible

Your library or personal account may give you access

Abstract

Near-field scanning optical microscopy (NSOM) is a very promising tool for the characterization of optical and optoelectronic properties of semiconductors and other devices at the nanometer scale [1]. Defect and impurity characterization of surfaces and interfaces is an important field in semiconductor physics. Since these materials are opaque in the visible spectral range, transmission contrast mechanisms which are most common for NSOM can not be applied in these investigations. However, near-field photocurrent (NPC) is a very attractive method for studying surface characteristics of optoelectronic devices [2,3]. The near-field laser light illumination excites electron-hole pairs directly under the fiber tip in the semiconductor material. These photoexcited carriers are collected by p-n junctions and result in a photocurrent that can be measured accurately by lock-in techniques, while moving the sample or the fiber tip to measure images.

© 1998 Optical Society of America

PDF Article
More Like This
Imaging of semiconductor surface impurities by femtosecond near-field photoconductivity

Wolfgang Schade, David L. Osborn, Jan Preusser, and Stephen R. Leone
QFF4 International Quantum Electronics Conference (IQEC) 1998

Optical near-field photocurrent spectroscopy: a tool for nondestructive analysis of optoelectronic devices

A. Richter, J. W. Tomm, and Ch. Lienau
CMD6 Conference on Lasers and Electro-Optics (CLEO:S&I) 1998

Near-field scanning optical microscopy analysis of the near and fat-field intensity distribution of semiconductor laser diodes

Walid A. Atia, Saeed Pilevar, Badri Gopalan, Peter Heim, Mario Dagenais, and Christopher C. Davis
QTuB26 Quantum Electronics and Laser Science Conference (CLEO:FS) 1996

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.