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Intensity-response function

The photopic log intensity functions are shown in figure 8. While the first three values used for this function represent cone responses on red flashes, the last one represents the white flash cone response. In contrast to the scotopic time vs. log intensity function, the intensity-response function of the cones peak latency indicates a slight increase. This result is also known from studies on human retinal function (Jacobi et al., 1993). [Pg.60]

Equation (10.23) describes the relations of the preexponential factors to the analyte concentration in the same way as relative concentration of free and bound forms given by Eqs. (10.12) and (10.13). The preexponential factor analyte response function may be shifted toward lower or higher analyte concentrations compared to those obtained from the absorbance or/and intensity measurements (Figure 10.6) because of the apparent dissociation constant (Kd) given by Eq. (10.24). [Pg.312]

The value of an intensive response is not a function of the size or throughput of the system. Product purity is an example of an intensive response. If a manufacturing facility can consistently produce 95% pure material, then it will be 95% pure, whether we look at a pound or a ton of the material. Other examples of intensive responses might be color, density, percent yield, alcohol content, and flavor. [Pg.14]

The inter-ring separation in [4.4] paracyclophane has been calculated to be 3.73 A, assuming normal bond angles and planar benzene rings. At this distance, there is no ground-state overlap, and the UV absorbance does not extend past 280 nm. Nevertheless, the peak of the excimer fluorescence intensity of [4.4] paracyclophane is red-shifted 1900 cm"1 relative to the peak of the solution excimer of toluene at 31,300 cm-1. Neither the excimer lifetime nor the excimer fluorescence response function have been reported for any of the exrimer-forming paracyclophanes, so little is known about the kinetics of excimer formation in these compounds. [Pg.51]

Fig. 2. Time resolved fluorescence spectra of all-trans PRSB in methanol (black) and octanol (grey) for a) t<50 fs and b) t>50 fs. The intensity of the octanol spectra is adjusted the methanol spectra. The spectra are not corrected for self-absorption (for >19.500 cm 1), or for the detector response function. A residual signal appearing at energies <14.000 cm"1 is due to incomplete background subtraction (see above). Fig. 2. Time resolved fluorescence spectra of all-trans PRSB in methanol (black) and octanol (grey) for a) t<50 fs and b) t>50 fs. The intensity of the octanol spectra is adjusted the methanol spectra. The spectra are not corrected for self-absorption (for >19.500 cm 1), or for the detector response function. A residual signal appearing at energies <14.000 cm"1 is due to incomplete background subtraction (see above).
Sample preparation was given elsewhere [2]. Femtosecond fluorescence upconversion and picosecond time-correlated single-photon-counting set-ups were employed for the measurement of the fluorescence transients. The system response (FWHM) of the femtosecond fluorescence up-conversion and time-correlated single-photon-counting setups are 280 fs and 16 ps, respectively [3] The measured transients were fitted to multiexponential functions convoluted with the system response function. After deconvolution the time resolution was 100 fs. In the upconversion experiments, excitation was at 350 nm, the transients were measured from 420 nm upto 680 nm. Experiments were performed under magic angle conditions (to remove the fluorescence intensity effects of rotational motions of the probed molecules), as well as under polarization conditions in order to obtain the time evolution of the fluorescence anisotropy. [Pg.500]

Taken together, (11.22) and (11.23) lead to various thermodynamic identities between measured response functions, as will be illustrated below. Equation (11.23) shows that the inverse metric matrix M-1 plays a role for conjugate vectors R/) that is highly analogous to the role played by M itself for the intensive vectors R,). In view of this far-reaching relationship, we can define the conjugate metric M,... [Pg.352]

For all of the following algorithms, we will assume that the response functions of the sensors are very narrow-band, i.e. they can be approximated by delta functions. Let A., with i r,g, h) be the wavelengths to which the sensors respond. We will now denote the sensor coordinates by (x, y). The intensity measured by the sensor at position (x, y) is then given by... [Pg.103]

Koch H, Kobayashi R, Sanchez de Meras A, Jprgensen P (1994) Calculation of size-intensive transition moments from the coupled cluster singles and doubles linear response function. J Chem Phys 100 4393 1400. [Pg.90]

As can be seen in Figure 7.15 very different lifetimes occur and each dataset shows different lifetimes. In principle the sample material and the size distribution of pores and the open porosity component each generate an annihilation rate (f ) with some relative intensity (I ). The spectrum is then convoluted with the experimental response function (R). Random statistical noise and a certain background (B) level are added. The measured time spectmm M(t)... [Pg.188]


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See also in sourсe #XX -- [ Pg.53 , Pg.54 , Pg.55 , Pg.56 , Pg.57 , Pg.58 , Pg.59 , Pg.60 ]




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Intensity function

Intensity/energy response function

Intensive response

Response functions

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