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

Covariant D and H fields for reflection from a magnetic anisotropic chiral medium

Not Accessible

Your library or personal account may give you access

Abstract

Difficulties have previously been noted in the use of the D and H fields in the Maxwell boundary conditions when these are applied to theories of reflection effects involving chiral media. Such difficulties may be avoided by adopting covariant forms of D and H. These are derived in the electric quadrupole–magnetic dipole approximation for a magnetic anisotropic chiral medium exposed to a plane monochromatic electromagnetic wave.

© 1997 Optical Society of America

Full Article  |  PDF Article
More Like This
Reflection from noncentrosymmetric uniaxial crystals: a multipole approach

E. B. Graham and R. E. Raab
J. Opt. Soc. Am. A 13(6) 1239-1248 (1996)

Systematic eigenvalue approach to crystal optics: an analytic alternative to the geometric ellipsoid model

M. J. Gunning and R. E. Raab
J. Opt. Soc. Am. A 15(8) 2199-2207 (1998)

Light diffusion and diffusing-wave spectroscopy in nematic liquid crystals

H. Stark, M. H. Kao, K. A. Jester, T. C. Lubensky, A. G. Yodh, and P. J. Collings
J. Opt. Soc. Am. A 14(1) 156-178 (1997)

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

Equations (40)

You do not have subscription access to this journal. Equations 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.