New Scheme for Extracting Molecular Dynamics from Spectra: Case Study on Vibrationally Highly Excited Acetylene
Author(s) -
Kaoru Yamanouchi,
Jun Miyawaki,
Soji Tsuchiya,
David M. Jonas,
Robert W. Field
Publication year - 1994
Publication title -
laser chemistry
Language(s) - English
Resource type - Journals
eISSN - 1026-8014
pISSN - 0278-6273
DOI - 10.1155/1994/34542
Subject(s) - acetylene , excited state , polyatomic ion , chemistry , convolution (computer science) , spectral line , molecule , spectrum (functional analysis) , computational chemistry , atomic physics , physics , computer science , quantum mechanics , artificial intelligence , organic chemistry , artificial neural network
Three types of analyses: generalized conventional spectroscopic analysis, statistical analysis, and hierarchical analysis, by which we aim to extract dynamical information from the complex spectrum of small polyatomic molecules are reviewed by referring to recent studies on vibrationally highly excited acetylene. A convolution analysis, one type of hierarchical analysis, is performed on the dispersed fluorescence spectrum of acetylene to demonstrate its practical applicability. Based on previous studies, as well as on the convolution analysis, a systematic and efficient procedure to treat such complex spectra is discussed.
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