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Intensity distribution of light

Figure 2.3 Numerical analysis of a nano-light-source generated by a metallic nano-tip. (a) Model for numerical analysis, (b) Intensity distribution of light scattered by the metallic nano-tip. Figure 2.3 Numerical analysis of a nano-light-source generated by a metallic nano-tip. (a) Model for numerical analysis, (b) Intensity distribution of light scattered by the metallic nano-tip.
Figure 1.5. Illustration of the angular light intensity distribution of light scattered from a single particle. Figure 1.5. Illustration of the angular light intensity distribution of light scattered from a single particle.
FIG. 16.26 The observed result of a paramechim.The siu ce of the photosensitive film was modulated by the intensity distribution of light induced by the fine structures of the specimen. The cilia of a paramecium are cle ly observed, and it can be seen that the end of each cilium branches into two cilia. [Pg.535]

The intensity distribution of light (7) from the surface of a diffraction grating is given by... [Pg.13]

Fig. 3.14 Two-dimensional scattering envelopes showing the effect of molecular size upon the intensity distribution of light scattered at different angles. The distance from the origin of the scattering to the perimeter of the scattering envelope represents the relative magnitude of i. The intensity distribution is symmetrical for small particles, but for larger particles is unsymmetrical with the intensities reduced at all angles except zero. Fig. 3.14 Two-dimensional scattering envelopes showing the effect of molecular size upon the intensity distribution of light scattered at different angles. The distance from the origin of the scattering to the perimeter of the scattering envelope represents the relative magnitude of i. The intensity distribution is symmetrical for small particles, but for larger particles is unsymmetrical with the intensities reduced at all angles except zero.
FIGURE 9 Intensity distribution of light reflected from a perfectly diffuse (Lambertian) surface, showing proportion of reflected light within 5° of each indicated direction. [From Boynton, R. M. (1974). In Handbook of Perception (E. C. Carterette and M. P. Friedman, eds.), Vol. 1. Copyright 1974 Academic Press.]... [Pg.14]

Nonlinear optical phenomena, as well as near-field optics, provide us with super resolving capability [20]. The probability of nonlinear optical phenomena is proportional to the number of photons which participate in the phenomenon. For example, the intensity distribution of two-photon excited fluorescence corresponds to the square of the excitation light. Thus, we proposed a combination of the field... [Pg.27]

The rate of photolytic transformations in aquatic systems also depends on the intensity and spectral distribution of light in the medium (24). Light intensity decreases exponentially with depth. This fact, known as the Beer-Lambert law, can be stated mathematically as d(Eo)/dZ = -K(Eo), where Eo = photon scalar irradiance (photons/cm2/sec), Z = depth (m), and K = diffuse attenuation coefficient for irradiance (/m). The product of light intensity, chemical absorptivity, and reaction quantum yield, when integrated across the solar spectrum, yields a pseudo-first-order photochemical transformation rate constant. [Pg.29]

The flow cytometer, fitted with both forward and side scatter detectors, generates a 2D plot indicating the distribution of light intensity, forward scatter (FS) versus side scatter (SS), and showing the physical profile of the particle responsible for the scatter. Figure 5.3 is such a plot for a mixture of five rod-shaped bacteria from our laboratory. The different strains appear in partly separated clusters (indicated by square boxes and dot color) along the side-scatter axis in the lower part of the plot. [Pg.99]

Figure 14. Intensity distribution for light at wavelength X = 1550 nm propagating through a SiOxNy GRIN coupler structure composed of a 0.5 im Si3N4 waveguide with a 3.5 im SiO Ny GRIN layer. Figure 14. Intensity distribution for light at wavelength X = 1550 nm propagating through a SiOxNy GRIN coupler structure composed of a 0.5 im Si3N4 waveguide with a 3.5 im SiO Ny GRIN layer.
The distribution of light intensity in Figure 13 can be computed by application of Huygens principle which allows us to calculate the shape of a propagating wavefront provided the wavefront at an earlier instant is known. According to this principle, every point of a wavefront may be considered as a source of secondary waves (often called a wavelet) which spread out in all directions, i.e., all points on a wavefront are point sources for the production of spherical secondary wavelets. The new wave front 2 is then found by constructing a surface tangent to all the secondary wavelets as shown in... [Pg.28]

A light-ion microbeam system connected with the 3-MV single-ended accelerator was developed for high-resolution ion beam microanalysis [37]. The highest spatial resolution of 0.25 pm was achieved for 2-MeV proton and helium ions. The beam spot size was estimated from the intensity distribution of the secondary electrons emitted from a silicon relief pattern irradiated with the 2-MeV helium ion microbeam as shown in Fig. 10. [Pg.824]

A reaction between solutes A and B in a solvent occurs at a rate k(t) [A] [B] when both reactants are distributed randomly throughout the solution. However, when A and B represent the result of bond fission (by photolysis or radiolysis), the distance to which geminate A and B pairs separate may be very small compared with the separation between pairs of A and B, unless very intense pulses of light or radiation were used. A very marked correlation in the distribution of A about B exists from the moment that recombination begins. This affects the subsequent rate of reaction and the probability that A and B will survive recombination. In Fig. 41, two initial distributions and their respective rate coefficients are shown. With the possible exception of some ESR techniques, such as 3-pulse electron spin echo, there are no methods for determining the initial distribution of reactant pairs. Indeed, as was mentioned in Chap. 6, Sect. 2 and Chap. 7, Sect. 2, the rate of reaction and survival probability of... [Pg.221]

In higher life forms various types of eye have evolved in the course of time, the simplest one being that of insects these are arrays of elementary eyes (forming the compound eye) each of which respond to light of a particular direction. Insects therefore do not perceive shapes in the human sense, but rather distributions of light intensity in various directions (Figure 5.10). [Pg.172]

QUANTUM EFFICIENCY. A measure of the efficiency of conversion or utilization of light or other energy, being in general the ratio of the number of distinct events produced in a radiation sensitized process to the number of quanta absorbed (the intensity-distribution of the radiation in frequency or wavelength should be specified). In the photoelectric and photoconductive effects, the quantum efficiency is the number of electronic charges released for each photon absorbed. For a phototube, the quantum... [Pg.1393]

Fig. 6.7. The ability to distinguish stained cells from unstained cells depends on both the breadth of the distributions of light intensities of the two populations as well as their relative average intensities. Fig. 6.7. The ability to distinguish stained cells from unstained cells depends on both the breadth of the distributions of light intensities of the two populations as well as their relative average intensities.
Figure 14. Variation in the carbon number distribution of the bicyclic terpenoid sulfides as a function of depth as shown by the m/z =183 fragmentograms from the SIR-GC/MS experiment. All traces are normalized to the most abundant peak. The oils vary from a heavy Cretaceous oil (Lloydminster) to a light Devonian oil (Leduc). Increasing thermal maturity results in the gradual loss of the isoprenoid side chain until in the Leduc the C13 compound dominates the distribution. Note the intensity distribution of the peaks. Minima occur at C12, C17, and C23. (Reproduced from Ref. 10 with permission. Copyright 1986, Pergamon Journals Ltd.)... Figure 14. Variation in the carbon number distribution of the bicyclic terpenoid sulfides as a function of depth as shown by the m/z =183 fragmentograms from the SIR-GC/MS experiment. All traces are normalized to the most abundant peak. The oils vary from a heavy Cretaceous oil (Lloydminster) to a light Devonian oil (Leduc). Increasing thermal maturity results in the gradual loss of the isoprenoid side chain until in the Leduc the C13 compound dominates the distribution. Note the intensity distribution of the peaks. Minima occur at C12, C17, and C23. (Reproduced from Ref. 10 with permission. Copyright 1986, Pergamon Journals Ltd.)...
Fic. 31. Distribution of light intensity over the slit illuminated with a commercial bulb (P16). Each abscissa division corresponds to 3 mm. [Pg.59]


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