Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • International Quantum Electronics Conference
  • OSA Technical Digest (Optica Publishing Group, 1984),
  • paper WQQ6

Quantum Theory of Spontaneous Emission and Small-Signal Gain in Compton-Regime Free-Electron Lasers

Not Accessible

Your library or personal account may give you access

Abstract

In most previous studies of the quantum-mechanical description of spontaneous emission in Compton-regime free-electron lasers, the equations of motion derived from the theory have been solved to the lowest order of perturbation theory, Hence, the results are appropriate for situations in which the probability that an electron changes its state by emitting a photon while transiting the wiggler is small. For long wigglers, this probability need not remain snail, and this paper presents a non-perturbative solution of the quantum equations appropriate to this case. Results are derived for the spectrum of spontaneously-emitted light and for the small- signal gain. In both cases, our expressions for short wigglers reduce to previously derived (from quantum mechanics and classical electrodynamics) formulae for the spontaneous spectrum and the gain, while, for long wigglers, our results show important modifications of the previous results.

© 1984 Optical Society of America

PDF Article
More Like This
Simplified Analysis of Spontaneous and Stimulated Emission for Various Free-Electron Laser Configurations

L. K. Grover and R. H. Pantell
WMM5 International Quantum Electronics Conference (IQEC) 1984

Simplified analysis of spontaneous and stimulated emission for various free-electron laser configurations

L. K. Grover and R. H. Pantell
WMM5 Conference on Lasers and Electro-Optics (CLEO:S&I) 1984

Media free-electron lasers

M. A. Piestrup and A. M. Fauchet
WQQ3 Conference on Lasers and Electro-Optics (CLEO:S&I) 1984

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.