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

Stark Effect on a Ground State Exciton Confined in Three Dimensions

Not Accessible

Your library or personal account may give you access

Abstract

We report the first measurement of the quadratic Stark shift of the bound exciton ground state (D°X) in the direct gap CdS semiconductor. The exciton is confined in three dimensions by the potential of a neutral donor (Li or Na interstitials) which restricts the exciton motion over dimensions of order of the free exciton Bohr radius (30 Å). Optical transmission measurements with a single mode dye laser reveal a very narrow linewidth (8-10 GHz) which implies a very well defined and reproducible potential well. This is in sharp contrast to previous realizations of three dimensional excitonic confinement where linewidths about 1000 times larger are commonly observed because of the large variations of the potential dimensions. At an electric field of 2.5 x 104 V/cm, a shift of the bound exciton resonance as large as its half-width at half-height is observed without any appreciable broadening of the resonance. The bound exciton shift is about 25 times smaller than the free exciton Stark shift measured in the same experimental conditions.

© 1988 Optical Society of America

PDF Article
More Like This
Oscillator Strength, Dephasing and Stark Shift of Free and Three-Dimension Confined Excitons

Mario Dagenais
TuA4 Nonlinear Optical Properties of Materials (NLOPM) 1988

OBSERVATION OF OPTICAL STARK EFFECT OF CONTINUUM STATES IN CdS

M. Joffre, B. Fluegel, and N. Pcyghambarian
WN5 International Quantum Electronics Conference (IQEC) 1988

Quantum-confined Stark effect and phase-space exciton quenching in quantum wires

H. Weman, E. Martinet, M.-A. Dupertuis, A. Rudra, A.M. Condo, and E. Kapon
JMB5 Conference on Lasers and Electro-Optics (CLEO:S&I) 1999

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.