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

Measuring the Exponential Nonlinearity of Spectrophotometers

Not Accessible

Your library or personal account may give you access

Abstract

A new method for measuring the exponential nonlinearity of a spectrophotometer is presented that uses the reflectance from a glass–water interface as a reflection standard. The method is equivalent in absolute accuracy to other, more complicated schemes, but is simple to use and requires relatively little additional equipment.

© 1973 Optical Society of America

Full Article  |  PDF Article
More Like This
Technique for Measuring Photometric Accuracy

R. C. Hawes
Appl. Opt. 10(6) 1246-1253 (1971)

New Reference Spectrophotometer

K. D. Mielenz, K. L. Eckerle, R. P. Madden, and J. Reader
Appl. Opt. 12(7) 1630-1641 (1973)

Precision of Color Measurement with the GE Spectrophotometer. II: Photometric Accuracy

Eugene C. Rhodes and Fred W. Billmeyer
Appl. Opt. 8(4) 769-773 (1969)

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 (1)

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

Tables (2)

You do not have subscription access to this journal. Article tables 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.