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Correction of overlapping

R. I. Botro. In Developments in Atomic Plasma Spectrochemical Analysis. (R. M. Barnes, ed.) Heyden, Philadelphia, 1981. Describes merhod for correction of overlapping spectral lines when using a polychromaror for ICP-OES. [Pg.644]

The pole figure of the (—110) net planes obtained after separation of the adjacent reflections and of the amorphous halo is given in Fig. 28 a. The normals of the net planes exhibit a preferred orientation at

Comparison with Fig. 28 b, which is obtained without correction of overlapping reflections demonstrates the necessity of the corrections. [Pg.143]

Figure 2-35. a) Baseline correction b) correction of overlapping — both shaded areas must be equal (schematic drawings). [Pg.42]

Nowadays, there are many algorithms to calculate the area below the peaks [74] and also for baseline correction and the correction of overlapping signals. Nevertheless, quantitative results must be reviewed critically because of possible artifacts [75],... [Pg.43]

The correctness of overlapping rate of 0% is 10% higher than the correctness of Serial assumed as the present work style. [Pg.191]

The correctness of overlapping rate 0% is almost the same as Serial. This means that the correctness of overlapping rate 0% is higher than correctness 80%. [Pg.192]

Little or no difference is found between the correctness of overlapping rate 60% and 100%. [Pg.192]

There is a possibility that the context can be understood even if two voices overlap completely. In Figure 3, the correctness of overlapping rate 100% is higher than 70%. This result describes participants are able to understand the context roughly when two voices are completely overlapped. This indicates that users who participate in two teleconferences are able to understand both contents. [Pg.193]

It is equivalent, when an ftk spectrometer is used, to re-apodization of the data. Curve fitting is a method of modeling a real absorption band on the assumption that it consists of a series of overlapped peaks having a specific lineshape. Typically the user specifies the number of peaks to attempt to resolve and the type of lineshape. The program then varies the positions, sizes, and widths of the peaks to minimize the difference between the model and the spectmm. The largest difficulty is in knowing the correct number of peaks to resolve. Derivative spectra are often useful in determining the correct number (18,53,54). [Pg.200]

To sum up, in some instances the proposed tangent method and procedure of systematic error correction allows excluding the necessity of mathematical or chemical resolution of overlapped peak-shaped analytical signals. [Pg.44]

Here the indices a and b stand for the valence orbitals on the two atoms as before, n is a number operator, c+ and c are creation and annihilation operators, and cr is the spin index. The third and fourth terms in the parentheses effect electron exchange and are responsible for the bonding between the two atoms, while the last two terms stand for the Coulomb repulsion between electrons of opposite spin on the same orbital. As is common in tight binding theory, we assume that the two orbitals a and b are orthogonal we shall correct for this neglect of overlap later. The coupling Vab can be taken as real we set Vab = P < 0. [Pg.49]

Automated organic and elemental ion mapping of TLC plates by LMMS techniques, without focus correction, has been reported [802,839]. One of the early TLC-MS scanners used laser desorption combined with Cl detection [807,808]. The use of laser desorption mass spectrometry (LDMS), in connection with TLC separations, allows sampling of a very small area of a spot (ca. 5 im). In this way spot homogeneity can be determined (e.g. in the case of overlapping components), and also leaves the bulk of the material unaffected for further study. An important advantage... [Pg.541]

Fig. 6.10. Comparison of overlap sampling and FEP calculation results for the free energy change along the mutation of an adenosine in aqueous solution (between A = 0.05 and 0.45) in a molecular dynamics simulation. The results represent the average behavior of 14 independent runs. (MD time step.) The sampling interval is 0.75 ps. The upper half of the plot presents the standard deviation of the mean (with gives statistical error) for AA as a function of sample size N the lower half of the plot gives the estimate of A A - for comparison of the accuracy, the correct value of AA is indicated by the bold horizontal line... Fig. 6.10. Comparison of overlap sampling and FEP calculation results for the free energy change along the mutation of an adenosine in aqueous solution (between A = 0.05 and 0.45) in a molecular dynamics simulation. The results represent the average behavior of 14 independent runs. (MD time step.) The sampling interval is 0.75 ps. The upper half of the plot presents the standard deviation of the mean (with gives statistical error) for AA as a function of sample size N the lower half of the plot gives the estimate of A A - for comparison of the accuracy, the correct value of AA is indicated by the bold horizontal line...
For a first approximation, k can be simply calculated by dividing by I for a donor-acceptor fusion construct, because both quantities are corrected for overlap and FRET. Note however that this requires acceptor concentration, we simply find ... [Pg.324]

ENDOR-induced EPR 4.2 EI-EPR ENDOR resonance frequency correction 2.4 Separation of overlapped EPR spectra and of different orientations in a powder... [Pg.26]

As outlined above, the spectra are distorted by the wavelength dependence of several components of the instrument. Correction of spectra is of major importance for quantitative measurements (determination of quantum yields and calculation of overlap integrals), for comparison of excitation and absorption spectra, and for comparison of fluorescence data obtained under different experimental conditions. [Pg.158]

Figure 8.2 presents the fluorescence of pyrene on silica gel. The loading is low so that pyrene is predominantly adsorbed as nonaggregated monomers (Mi). The backward fluorescence spectrum Fb of this sample is very comparable to the spectrum in polar solvents and not distorted by reabsorption. However, the forward spectrum Ft is almost completely suppressed in the region of overlap with the o -transition and hot sidebands of the weak first absorption band Si. The absorption coefficients of the sample vary widely from k" = 0.1 cm 1 (Si-band, Aa = 350-370 nm) to k = 25 cm-1 (S2-band, 1 290-340 nm), and in a first approximation the excitation spectrum of Fh reflects this variation correctly (Figure 8.2, left). The Ff-excitation spectrum, however, has only little in common with the real absorption spectrum of the sample. [Pg.225]

Mulliken s formula for Nk implies the half-and-half (50/50) partitioning of all overlap populations among the centers k,l,... involved. On one hand, this distribution is perhaps arbitrary, which invites alternative modes of handling overlap populations. On the other hand, Mayer s analysis [172,173] vindicates Mulliken s procedure. So we may suggest a nuance in the interpretation [44] departures from the usual halving of overlap terms could be regarded as ad hoc corrections for an imbalance of the basis sets used for different atoms. But one way or another, the outcome is the same. It is clear that the partitioning problem should not be discussed without explicit reference to the bases that are used in the LCAO expansions. [Pg.94]

This rescaling reflects the idea that any increase of electronic charge at a center, as a consequence of an enrichment of the basis functions describing it, is unphysical if, lacking equipoise, atoms bonded to it suffer from poorer basis set descriptions. The parameter introduced in Eq. (8.4) is there to correct this imbalance if we follow Mayer s claim [172,173] that Mulliken s half-and-half partitioning of overlap terms between the concerned atoms should not be tampered with. It is felt that the way depends on the basis sets used for describing atoms k and I deserves attention as part of an effort aimed at letting X.rtsi approach Mulliken s limit A = 1 as closely as possible. [Pg.97]

A similar SCF calculation of ferrocene has been made by Shustorovich and Dyatkina (73) in which Slater functions were used for the iron orbitals. These calculations gave an exactly opposite charge distribution to that of Dahl and Ballhausen, owing to the more contracted metal orbitals used by the latter authors. Because values of overlap integrals of the type S (2pa3da) and S(2p7T3d7T) calculated by the latter authors are almost identical with those calculated directly from the Watson functions (74), it seems that the charge distribution calculated by Dahl and Ballhausen is the correct one. [Pg.21]


See other pages where Correction of overlapping is mentioned: [Pg.191]    [Pg.191]    [Pg.18]    [Pg.30]    [Pg.44]    [Pg.152]    [Pg.442]    [Pg.31]    [Pg.159]    [Pg.953]    [Pg.599]    [Pg.276]    [Pg.314]    [Pg.250]    [Pg.9]    [Pg.176]    [Pg.27]    [Pg.253]    [Pg.334]    [Pg.143]    [Pg.36]    [Pg.83]    [Pg.26]    [Pg.75]    [Pg.111]    [Pg.91]    [Pg.57]    [Pg.78]    [Pg.72]    [Pg.15]    [Pg.29]    [Pg.100]   
See also in sourсe #XX -- [ Pg.42 ]




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Overlapping correction

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