Nonlinear FTIR open-path data reduction algorithm

William Phillips; Danny Brown; George M. Russwurm; Jeffrey W. Childers; Edgar L. Thompson; Lori Tussey

doi:10.1117/12.274723

22 May 1997 Nonlinear FTIR open-path data reduction algorithm

William Phillips, Danny Brown, George M. Russwurm, Jeffrey W. Childers, Edgar L. Thompson, Lori Tussey

Proceedings Volume 3106, Spectroscopic Atmospheric Monitoring Techniques; (1997) https://doi.org/10.1117/12.274723
Event: Environmental Sensing III, 1997, Munich, Germany

Abstract

A nonlinear spectral curve fitting computer algorithm for the reduction of Fourier transform spectrometer data is being developed at the Air Force's Arnold Engineering Development Center. The algorithm is an adaptation of an existing algorithm utilized for plume signature data and optical gas diagnostics data reduction. The nonlinear algorithm is not constrained by the linear absorbance assumptions required for classical least squares (CLS). Therefore, the nonlinear algorithm allows for the determination of gas concentrations from high absorption level spectra as well as determination of other nonlinear parameters such as spectra shift and spectral resolution. In addition, the currently implemented algorithm has the ability to simultaneously determine the background spectra or I degrees. These capabilities could make the nonlinear algorithm a welcome addition as a quality assurance and data reduction tool. Open path Fourier transform IR spectra from various sources have been analyzed utilizing this algorithm in an attempt to determine its capabilities and limitations. As various data sets are analyzed the algorithm is further refined to make its application easier and faster. A brief description of the algorithm and the results of a comparative study between the nonlinear algorithm and CLS is presented.

Citation Download Citation

William Phillips, Danny Brown, George M. Russwurm, Jeffrey W. Childers, Edgar L. Thompson, and Lori Tussey "Nonlinear FTIR open-path data reduction algorithm", Proc. SPIE 3106, Spectroscopic Atmospheric Monitoring Techniques, (22 May 1997); https://doi.org/10.1117/12.274723

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