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

The “Depressed” Beam of the Motor Car Headlight

Not Accessible

Your library or personal account may give you access

Abstract

The fact that the use of the two-filament bulb with a parabolic reflector to “depress” a headlight beam is always accompanied by an elevation in certain parts of the beam does not seem to be generally recognized. The extent of this simultaneous depression and elevation is computed from the fundamental theory of the parabolic reflector. Certain implications and conclusions bearing on headlamp design are pointed out.

© 1932 Optical Society of America

Full Article  |  PDF Article
More Like This
The “Depressed” Beam of the Motor Car Headlight. II

L. W. Taylor
J. Opt. Soc. Am. 24(11) 287-291 (1934)

On the Intensity of Illumination in Spectrographs

O. Oldenberg
J. Opt. Soc. Am. 22(8) 441-455 (1932)

A Mathematical Study of a Headlight Beam

O. E. Conklin
J. Opt. Soc. Am. 1(5) 155-172 (1917)

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 (3)

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 (4)

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.