Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • International Quantum Electronics Conference
  • 1996 OSA Technical Digest Series (Optica Publishing Group, 1996),
  • paper ThP3

The mechanical equivalence of the spin and orbital angular momentum of light: optical spanners

Not Accessible

Your library or personal account may give you access

Abstract

The field distribution of Laguerre-Gaussian laser modes has a phase which depends on the azimuthal angle, ϕ, of the form ϕ, where ϕ = 0, ± 1, ± 2, = 3 etc. It has been shown by Allen et al. that this azimuthal phase dependence gives rise to a well defined orbital angular momentum which corresponds to ϕ per photon in the mode. As is well known, circularly polarised light also carries an angular momentum associated with the photon spin corresponding to ϕ per photon. Recent work by He et al. [2] has shown qualitatively that angular momentum can be transferred from a linearly polarised Laguerre-Gaussian mode to an optically trapped ceramic or metal oxide particle. However, their work does not prove that orbital angular momentum is well defined at ϕ per photon. We report progress in, what we believe to be, the first experimental confirmation that the orbital angular momentum of a linearly polarised Laguerre-Gaussian mode is indeed ϕ per photon.

© 1996 Optical Society of America

PDF Article
More Like This
Second Harmonic Generation and the orbital Angular Momentum of Light

K. Dholakia, N.B. Simpson, M. J. Padgett, and L. Allen
QPD6 Quantum Electronics and Laser Science Conference (CLEO:FS) 1996

The angular momentum of light: From optical spanners to information transfer

Miles Padgett
ThL4 Frontiers in Optics (FiO) 2003

Light beams with very high orbital angular momentum

J. Courtial, K. Dholakia, L. Allen, and M.J. Padgett
QThB2 Quantum Electronics and Laser Science Conference (CLEO:FS) 1997

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.