TITLE

Global least-squares analysis of large, correlated spectral data sets and application to chemical

AUTHOR(S)
Stilbs, Peter; Paulsen, Kim
PUB. DATE
December 1996
SOURCE
Review of Scientific Instruments;Dec1996, Vol. 67 Issue 12, p4380
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Describes a general, nonlinear least-squares, direct-search strategy for analyzing time-dependence of single or multicomponent spectral data sets. Named component resolved (CORE) spectroscopy; Improvement of the quality of evaluated data through CORE processing's intrinsic S/N enhancement; Generality of the CORE approach; Examples from chemical kinetics.
ACCESSION #
4320497

 

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