Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2000 International Quantum Electronics Conference
  • Technical Digest Series (Optica Publishing Group, 2000),
  • paper QTuH8

Radiative lifetimes of negatively charged excitons in CdTe quantum wells.

Not Accessible

Your library or personal account may give you access

Abstract

Using picosecond photoluminescence (PL), we have investigated the temperature dependence of the radiative lifetime of the negatively charged exciton (X) in CdTe quantum wells (QWs). The X lifetime is found to increase from 70 ps at 2K up to about 200 ps at 30 K (see Fig 2) The increase is linear for temperatures bigger than 5K and reveals that X cannot be treated as a purely localised species. A linear increase is indeed predicted theoretically for delocalised X [1] In addition, the observed temperature behaviour demonstrates that unlike the donor bound exciton to which X has been previously compared, X radiative recombination can take place with a specific strongly k dependent selection rule The behaviour of X lifetime at the lower temperatures indicates the presence of a certain degree of localisation.

© 2000 IEEE

PDF Article
More Like This
Increase in Exciton Radiative Lifetime in GaAs Quantum Wells at High Exciton Density due to Exciton-Exciton Scattering

R. Eccleston, B.F. Feuerbacher, J. Kuhl, W.W. Rühle, and K. Ploog
ThC21 International Conference on Ultrafast Phenomena (UP) 1992

Effects of Scattering on the radiative lifetime of free excitons in GaAs Quantum wells

Vivek Srinivas, Yung Jui Chen, and Colin E C. Wood
QThD6 Quantum Electronics and Laser Science Conference (CLEO:FS) 1992

Complementary Exciton Radiative Lifetime and Dephasing Measurements in GaAs Quantum Wells

R. Eccleston, B. F. Feuerbacher, J. Kuhl, W. W. Rühle, and K. Ploog
PTu088 International Quantum Electronics Conference (IQEC) 1992

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.