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

Two- and three-photon processes in atomic krypton and their use in laser guiding of electron beams

Open Access Open Access

Abstract

Neutral krypton atoms were excited from the ground state 4p6 1S0 to the 4p5 6p[3/2]2 state by two-photon absorption from a line-narrowed ArF excimer laser operating at 193.41 nm. A third photon, absorbed while the atom is in the excited state, ionizes it. Excited state and ion densities were theoretically computed using a standard rate equation analysis. The irradiance levels used (1–5 × 108 W/cm2) were too low for significant ground and excited state ac Stark and Rabi effects. The photon detection system was calibrated with a standard tungsten lamp. Ion signals were measured with known electrical components. The resulting ion and excited state densities, corrected for collisional losses, agreed with the theoretical analysis to within 20% on the average. These results have been used with a modified electron beam propagation code to model such propagation in a low-pressure laser-excited krypton channel. The modifications included the effects of field ionization and enhanced collisional ionization of the excited krypton atoms.

© 1988 Optical Society of America

PDF Article
More Like This
Two-photon excitation of krypton for excited-state guiding of electron beams

J. A. OERTEL and L. J. RADZIEMSKI
WM35 Conference on Lasers and Electro-Optics (CLEO:S&I) 1988

Resonantly enhanced multiphoton ionization in strong laser fields

M. D. Perry, O. L. Landen, and A. Szoke
MY3 OSA Annual Meeting (FIO) 1988

Laser nonuniformity and ac Stark shift effect on two-photon resonant three-photon ionization process of cesium atom

Jonghoon Yi, Hyunmin Park, Jaemin Han, Yongjoo Rhee, Jongmin Lee, and Moon-Gu Baik
QTuG27 International Quantum Electronics Conference (IQEC) 1998

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.