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

Stochastic mode-locking theory of external-cavity semiconductor lasers

Not Accessible

Your library or personal account may give you access

Abstract

A stochastic mode-locking model has been developed to study the effect of intrinsic spontaneous noise and carrier shot noise on the phenomenon of active mode-locking in external-cavity semiconductor lasers. This frequency-domain numerical model includes nonlinear carrier dynamics, population pulsation, and self- and cross-saturation of the gain and is sufficiently flexible to account for coupling of multiple harmonic field components. The computer simulation of noise follows Marcuse's approach1 except that, because of active modulation, the Langevin noise strengths are allowed to depend on the time evolution of the gain and photon number. The resulting numerical simulation models the pulse-height probability distribution and the correlation of pulse height deviations under various operating conditions, such as the bias level, modulation strength, modulation type, and frequency detuning. The array of optical pulses are also numerically sampled and averaged to reveal the detailed stable structure of pulses, including possibly the reproducible satellite peaks, as have been evidenced in other experiments.

© 1990 Optical Society of America

PDF Article
More Like This
High power mode-locked external cavity semiconductor laser system

PETER J. DELFYETT, C.-H. LEE, G. A. ALPHONSE, and J. C. CONNOLLY
CFC1 Conference on Lasers and Electro-Optics (CLEO:S&I) 1990

Measurement and theory of mode hopping in external cavity lasers

J. MORK, M. SEMKOW, and B. TROMBORG
CFQ4 Conference on Lasers and Electro-Optics (CLEO:S&I) 1990

Routes to Chaos in External Cavity Semiconductor Lasers

John G. McInerney
FNN4 OSA Annual Meeting (FIO) 1990

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.