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

Self-induced transparency in an optically dense medium of nonsymmetric quantum objects

Not Accessible

Your library or personal account may give you access

Abstract

This paper discusses the soliton propagation regime of a laser pulse consisting of optical ordinary and terahertz extraordinary components in optically uniaxial media that contain nonsymmetrical resonance nanoobjects of the type of quantum filaments. The treatment takes into account dipole-dipole interaction between the nanoobjects. The conditions are explained under which a terahertz pulse can be efficiently generated when a near-IR optical signal is supplied to the input of the medium. It is shown that this generation process is accompanied by displacement of the spectrum of the optical component into the red region, with this displacement increasing as the pulse width becomes shorter.

© 2008 Optical Society of America

PDF Article
More Like This
Coherent and incoherent solitons of self-induced transparency in dense, resonant media

A. A. Afanas’ev, R. A. Vlasov, O. K. Khasanov, T. V. Smirnova, and O. M. Fedotova
J. Opt. Soc. Am. B 19(4) 911-919 (2002)

Rabi oscillations and self-induced transparency in InAs/InP quantum dot semiconductor optical amplifier operating at room temperature

Ouri Karni, Amir Capua, Gadi Eisenstein, Vitalii Sichkovskyi, Vitalii Ivanov, and Johann Peter Reithmaier
Opt. Express 21(22) 26786-26796 (2013)

Self-induced transparency quadratic solitons

Soodeh Haghgoo and Sergey A. Ponomarenko
Opt. Express 20(13) 13988-13995 (2012)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

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.