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Spectral moments spectrum

The Compton scattering cannot be neglected, but it is independent of molecular structure. Then, fitting experimental data to formulas from gas phase theory, the concentration of excited molecules can be determined. Another problem is that the undulator X-ray spectrum is not strictly monochromatic, but has a slightly asymmetric lineshape extending toward lower energies. This problem may be handled in different ways, for example, by approximating its spectral distribution by its first spectral moment [12]. [Pg.265]

Furthermore, in all phases studied the first spectral moment Mi of the H NMR spectra can be calculated and the weighted mean splitting of the H NMR spectrum can be obtained, which is proportional to the average chain orientational order parameter of the lipid, using ... [Pg.169]

Wiener-Khintchine theorem). The right-hand side of this equation is often called the power spectrum. It is given by the autocorrelation function, Eq. 2.55. The Fourier transform of the autocorrelation function is related to the spectral moments,... [Pg.43]

Figure 3.18 compares the spectrum of D2-Ar recorded at 165 K at a density of 142 amagat with an H2-Ar spectrum recorded at the same temperature and 150 amagat argon density [109]. As expected, we see more rotational lines, So(J) with J = 0,. ..4, than for H2-Ar, and these have different relative intensities. The rotational lines are also sharper, roughly by the factor 1/ /2. The spectral moment Mo is the same as for H2-Ar, well within the experimental uncertainties, as it should be. [Pg.91]

Spectroscopic measurement. Specifically, if the induced dipole moment and interaction potential are known as functions of the intermolecular separation, molecular orientations, vibrational excitations, etc., an absorption spectrum can in principle be computed potential and dipole surface determine the spectra. With some caution, one may also turn this argument around and argue that the knowledge of the spectra and the interaction potential defines an induced dipole function. While direct inversion procedures for the purpose may be possible, none are presently known and the empirical induced dipole models usually assume an analytical function like Eqs. 4.1 and 4.3, or combinations of Eqs. 4.1 through 4.3, with parameters po, J o, <32, etc., to be chosen such that certain measured spectral moments or profiles are reproduced computationally. [Pg.153]

Method of moments. In rare gas mixtures, the induced dipole consists of just one B component, with Ai AL = 0001, Eq. 4.14. Alternatively, one particular B(c) component may cause the overwhelming part of a measured spectrum, like the quadrupole-induced component in mixtures of small amounts of H2 in highly polarizable rare gases ((c) = Ai AL = 2023, Eq. 4.59) in a given spectral range, other components (like 0001, 2021,...) are often relatively insignificant. In such cases, one can write down more or less discriminating relationships between certain spectral moments of low order n that are obtainable from measurements of the collision-induced spectral profile, g Al(o>),... [Pg.154]

Spectral moments may be computed from expressions such as Eqs. 5.15 or 5.16. Furthermore, the theory of virial expansions of the spectral moments has shown that we may consider two- and three-body systems, without regard to the actual number of atoms contained in a sample if gas densities are not too high. Near the low-density limit, if mixtures of non-polar gases well above the liquefaction point are considered, a nearly pure binary spectrum may be expected (except near zero frequencies, where the intercollisional process generates a relatively sharp absorption dip due to many-body interactions.) In this subsection, we will sketch the computations necessary for the actual evaluation of the binary moments of low order, especially Eqs. 5.19 and 5.25, along with some higher moments. [Pg.206]

H2 He He rotovibrational band. The density dependence of the H2-He enhancement spectrum in the fundamental band of hydrogen has been measured previously, using a trace of hydrogen in helium of thousands of amagats [121, 175, 142] ternary moments were measured at room temperature. The measurements suggest again greater values of the spectral moments, Table 6.7. [Pg.300]

The ratio of second and zeroth moment, M2/M0, defines some average squared width of the spectrum. Spectral moments are related to the induction operator and interaction potential by well-known sum formulas [200, 215, 235, 292, 318, 319, 326, 350, 351, 422] that permit a comparison of the measurements with the fundamental theory [196,208,209,293,296, 307,316, 335, 357]. [Pg.450]

Characteristic polynomial, spectrum, spectral moments, eigenvectors, and Hosoya-type indices were also computed on square molecular matrices encoding information about spatial interatomic distances such as the geometry matrix G and the reciprocal geometry matrix [Ivanciuc and Balaban, 1999c]. [Pg.107]

The SI approach relies on the fact that a discretized spectrum deriving from an calculation and covering a large energy range, including the continuum, provides a reasonable approximation of, at least, the lowest order spectral moments S provided the extension of the basis set is sufficiently good ... [Pg.173]

In some cases the spectrum is not readily characterized by one particularly in membrane systems. In order to assist in interpreting and quantitating data from spectra, an analysis based on spectral moments has been developed (13). The n th moment of a spectrum can be defined by eq. 13, in which o)q... [Pg.161]

In the last four decades, Eq. 8 has been used by several authors to define the spectrum-compatible power-spectral density function. The methods proposed in literature mainly differentiate one from another for the hypothesis adopted to define the peak factor and for the approximations involved in the evaluation of the response spectral moments. [Pg.2252]

Many of the properties oj -hydroxypyridines are typical of phenols. It was long assumed that they existed exclusively in the hydroxy form, and early physical measurements seemed to confirm this. For example, the ultraviolet spectrum of a methanolic solution of 3-hydroxypyridine is very similar to that of the 3-methoxy analog, and the value of the dipole moment of 3-hydroxypyridine obtained in dioxane indicates little, if any, zwitterion formation. However, it has now become clear that the hydroxy form is greatly predominant only in solvents of low dielectric constant. Comparison of the pK values of 3-hydroxypyridine with those of the alternative methylated forms indicated that the two tautomeric forms are of comparable stability in aqueous solution (Table II), and this was confirmed using ultraviolet spectroscopy. The ratios calculated from the ultraviolet spectral data are in good agreement with those de-... [Pg.353]

As discussed in [91], the shape of a static spectrum determines significantly the spectral transformation as frequency exchange increases. In particular, spectral narrowing will take place only if the second moment of the spectrum is finite. In our case... [Pg.94]

The approach to the evaluation of vibrational spectra described above is based on classical simulations for which quantum corrections are possible. The incorporation of quantum effects directly in simulations of large molecular systems is one of the most challenging areas in theoretical chemistry today. The development of quantum simulation methods is particularly important in the area of molecular spectroscopy for which quantum effects can be important and where the goal is to use simulations to help understand the structural and dynamical origins of changes in spectral lineshapes with environmental variables such as the temperature. The direct evaluation of quantum time- correlation functions for anharmonic systems is extremely difficult. Our initial approach to the evaluation of finite temperature anharmonic effects on vibrational lineshapes is derived from the fact that the moments of the vibrational lineshape spectrum can be expressed as functions of expectation values of positional and momentum operators. These expectation values can be evaluated using extremely efficient quantum Monte-Carlo techniques. The main points are summarized below. [Pg.93]


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See also in sourсe #XX -- [ Pg.396 ]




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