Inverse analysis of triarylamine-dye transmission spectra

Daniel C. Aiken; Scott Ramsey; Troy Mayo; James Bellemare; Samuel G. Lambrakos; Joseph Peak

doi:10.1117/12.2087061

3 June 2015 Inverse analysis of triarylamine-dye transmission spectra

Daniel C. Aiken, Scott Ramsey, Troy Mayo, James Bellemare, Samuel G. Lambrakos, Joseph Peak

Proceedings Volume 9482, Next-Generation Spectroscopic Technologies VIII; 948217 (2015) https://doi.org/10.1117/12.2087061
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

Inverse analysis of transmission spectra for triarylamine dye in acetone is presented. This analysis employs a parametric model of transmission through a sample of finite thickness, where the permittivity function is represented parametrically by a linear combination of Lorentz oscillator models. The results of this analysis provide estimates of the permittivity function for triarylamine dye, which can be adopted as input data to other types of models, such as those for prediction of transmission and reflectivity spectra for composites containing mixtures of dyes and other materials. In addition, the results of this analysis should contribute to a data base of estimated permittivity functions for practical analysis of spectra.

Citation Download Citation

Daniel C. Aiken, Scott Ramsey, Troy Mayo, James Bellemare, Samuel G. Lambrakos, and Joseph Peak "Inverse analysis of triarylamine-dye transmission spectra", Proc. SPIE 9482, Next-Generation Spectroscopic Technologies VIII, 948217 (3 June 2015); https://doi.org/10.1117/12.2087061

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available