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Fourier band fitting

The empirical approach [7] was by far the most fruitful first attempt. The idea was to fit a few Fourier coefficients or form factors of the potential. This approach assumed that the pseudopotential could be represented accurately with around three Fourier form factors for each element and that the potential contained both the electron-core and electron-electron interactions. The form factors were generally fit to optical properties. This approach, called the Empirical Pseudopotential Method (EPM), gave [7] extremely accurate energy band structures and wave functions, and applications were made to a large number of solids, especially semiconductors. [8] In fact, it is probably fair to say that the electronic band structure problem and optical properties in the visible and UV for the standard semiconductors was solved in the 1960s and 1970s by the EPM. Before the EPM, even the electronic structure of Si, which was and is the prototype semiconductor, was only partially known. [Pg.251]

Thus, the p-like state, X at the bottom of the energy gap must be associated with the NFE eigenfunction, px, which pushes charge away from the atomic centres, whereas the s-like state, Xv at the top of the energy gap must be associated with the NFE eigenfunction, pX) which pulls charge onto the atomic centres. From eqn (5.42) it follows that in order for the NFE approximation to fit the observed band structure, the (200) Fourier com-... [Pg.121]

Two types of secondary structure analysis were used on the spectra collected in this study. The classic curve-fitting method (13) for analysis of the amide I band, was performed in two stages. The first step in the analysis is band narrowing, which allows visualization of component bands, using derivatization and Fourier self-deconvolution (FSD) (14). [Pg.478]

FSD spectra are frequently curve-fit to obtain an estimate of the secondary structure content of the protein being examined. This is justifiable because, in theory, Fourier self-deconvolution should not affect the relative areas of component bands. In practice however, it was found that this assumption is not valid. The relative areas of bands at the edges of the amide I region are increased by FSD. Therefore the following procedure was used for structural analysis. [Pg.479]

All of these functional groups have a distinctive absorption band in the region, and a Fourier self-deconvolution routine is often used to attempt to resolve the often broad resulting absorbance band to give the best fit of the various species to the composite spectrum. [Pg.231]

Further corroboration of the picture of IVR obtained from the a-type decays can be had from the decays of the bands in the congested region of the fluorescence spectrum. Examples of such decays are show in Fig. 20. One notes several points about these decays. First, upon fitting them each is found to have a long-time exponential decay constant matching those of the a-type decays. Second, the decays are modulated. Third, the decays all have finite rise times, and these rise times roughly match the 20 psec fast decay time of the a-type decays. Finally, Fourier analysis of the decays reveals that they are modulated by many Fourier components, some of which have -1 phases. All of these characteristics are consistent with those expected for non-a-type decays that arise from the same set levels as the a-type decays of Fig. 18. Thus, the decays of Fig. 20 are pictures of the dissipative flow of energy into... [Pg.310]

The investigations discussed so far (there can be several other recent examples) indicate (at least) three states of water - giving rise to the term three-state model -in W/O microemulsions. Gonzalez-Bianco et al. [146] were probably the first to report, from Fourier transform infrared spectroscopic studies, four states of water in W/O microemulsions where the w value was from < 3 to > 25 the system was AOT / toluene / water. The OH-stretching band (3100-3700 cm ), asymmetrical in nature, was fitted to four Gaussian functions. The band positions, band halfwidths and assignments are summarized below. [Pg.61]

A very recent work [147] on the nature of water molecules in a water pool involves Fourier transform infrared spectral studies in the W/O microemulsion system AOT / isooctane / triple distilled water. The value of w was varied in the range 5-30. Hydroxy stretching bands could be fitted to four Gaussian functions involving specific frequencies. Their assignments and the corresponding band positions are given below. [Pg.61]

Fourier-transform infrared (FTIR) spectroscopy is particularly useful for probing the structures of membrane proteins [3, 23]. This technique can be used to study the secondary structures of proteins, both in their native environment as well as after reconstitution into model membranes. Myelin basic protein (MBP) is a major protein of the nervous system and has been studied by using FTIR spectroscopy in both aqueous solution and after reconstitution in myelin lipids [24]. The amide I band of MBP in D2O solution (deconvolved and curve-fitted) is... [Pg.146]

In measured infrared spectra of many samples, especially organic materials, a large number of bands are usually present. Many overlap each other to differing extents, and weak bands are sometimes buried beneath intense bands. By looking at such spectra, it is often difficult to determine precisely the true number of existing bands and their intensities. To solve these difficulties, at least to a certain extent, the methods of difference spectroscopy, derivative spectroscopy, Fourier self-deconvolution (FSD), and band decomposition (curve fitting) have been developed. [Pg.83]


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See also in sourсe #XX -- [ Pg.100 ]

See also in sourсe #XX -- [ Pg.100 ]




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Band fitting

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