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

Retroreflector using gradient-index rods

Not Accessible

Your library or personal account may give you access

Abstract

A gradient-index rod whose length is a quarter of the periodic length works as a retroreflective element when its endface is coated with metal. This paper describes the experiment and theory on the reflectivity of such a rod and that of an array comprising seven or nineteen rods when they are illuminated by a Gaussian laser beam. We clarify how the reflectivity depends on the offset of the beam axis and the inclination angle of the axis. The far field pattern of the reflected wave is also investigated.

© 1991 Optical Society of America

Full Article  |  PDF Article
More Like This
Distortion in a gradient-index rod

Erich W. Marchand
Appl. Opt. 22(3) 404-406 (1983)

Resolution analysis of a gradient-index rod and a gradient-index lens array

Xi Chen and Nicholas George
Appl. Opt. 47(33) 6190-6201 (2008)

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

Figures (20)

You do not have subscription access to this journal. Figure files 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 (13)

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.