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

Investigation of Picosecond Time-Resolved Photoluminescence in Gallium Arsenide with 3-μm Spatial Resolution

Not Accessible

Your library or personal account may give you access

Abstract

A novel instrument has recently been developed for picosecond time-resolved photoluminescence (TRPL) investigation of GaAs with 3 μm spatial resolution : the Photoluminescence Lifetime Microscope Spectrometer (PLμS). The PLμS is based on time-correlated single photon counting (TCSPC) with a single photon avalanche diode (SPAD) detector. Sensitivity of the PLμS, especially in the near infrared wavelength region (800-1000nm), is several orders of magnitude better than for synchroscan streak cameras. A signal-to-noise ratio of better than 1000:1 is typically obtained from a GaAs sample region of 3 μm diameter at room temperature and at excess carrier densities (at peak excitation) as low as 1015cm-3. As a result of the very low optical power requirements, a pulsed diode laser can be used as the excitation source. All signals are conveniently handled via optical fiber, which makes the PLμS a unique instrument for routine assessment of semiconductor materials and devices in an industrial environment.

© 1989 Optical Society of America

PDF Article
More Like This
Picosecond time-resolved photoluminescence spectroscopy of III–V and II–VI semiconductor structures

J. S. Massa, G. S. Buller, and A. C. Walker
ThFF8 OSA Annual Meeting (FIO) 1992

Picosecond Time-Resolved Photoluminescence at λ>1500nm using Time-Correlated Single Photon Counting

J.M. Smith, P.A. Hiskett, G.S. Buller, D. Marshalf, A. Miller, and C.C. Button
IPD2.8 International Quantum Electronics Conference (IQEC) 2000

20-ps Resolution Single-Photon Solid-State Detector

M. Ghioni, A. Lacaita, S. Cova, and G. Ripamonti
OSDA194 Picosecond Electronics and Optoelectronics (UEO) 1989

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.