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

Analysis of measurement accuracy in sinusoidal phase modulating interferometry

Not Accessible

Your library or personal account may give you access

Abstract

A theoretical analysis of the measurement accuracy in sinusoidal phase modulating (SPM) interferometry is presented. The measurement accuracy is dependent on multiplicative and additive noise. The characteristics of SPM interferometry in the presence of this noise are made clear. Theoretical results show clearly that SPM interferometry has a high measurement accuracy of the order of 1 nm.

© 1986 Optical Society of America

Full Article  |  PDF Article
More Like This
Sinusoidal phase modulating interferometry for surface profile measurement

Osami Sasaki and Hirokazu Okazaki
Appl. Opt. 25(18) 3137-3140 (1986)

Sinusoidal phase modulating interferometer using the integrating-bucket method

Osami Sasaki, Hirokazu Okazaki, and Makoto Sakai
Appl. Opt. 26(6) 1089-1093 (1987)

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 (13)

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 (89)

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.