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Discrete levels functions

Figure 14-1. Left Relative errors (RELE) in the force as a function of radial distance from the center of the active dynamical region for the VEP-RVM charge-scaling method [80] for the solvated hammerhead ribozyme at different discretization levels [151] of die co surface. Right The projected total electrostatic potential due to the fully solvated hammerhead ribozyme projected onto die YEP surface [80]... Figure 14-1. Left Relative errors (RELE) in the force as a function of radial distance from the center of the active dynamical region for the VEP-RVM charge-scaling method [80] for the solvated hammerhead ribozyme at different discretization levels [151] of die co surface. Right The projected total electrostatic potential due to the fully solvated hammerhead ribozyme projected onto die YEP surface [80]...
Figure 46-13 The actual voltage is a continuous, linear function. The values represented by the output of the A/D converter, however, can only take discrete levels. The double-headed arrows represent the error introduced by digitizing the continuous physical voltage at various points. Figure 46-13 The actual voltage is a continuous, linear function. The values represented by the output of the A/D converter, however, can only take discrete levels. The double-headed arrows represent the error introduced by digitizing the continuous physical voltage at various points.
Safety integrity level (SIF) Discrete level (one out of a possible four SIL categories) used to specify the probability that a safety instrumented function will perform its required function under all operational states within a specified time. [Pg.103]

For a harmonic oscillator, the probability distribution averaged over all populated energy levels is a Gaussian function, centered at the equilibrium position. For the classical harmonic oscillator, this follows directly from the expression of a Boltzmann distribution in a quadratic potential. The result for the quantum-mechanical harmonic oscillator, referred to as Bloch s theorem, is less obvious, as a population-weighted average over all discrete levels must be evaluated (see, e.g., Prince 1982). [Pg.28]

The question arises how does one distinguish experimentally between these two types of photodissociation This question can be answered from consideration of the absorption spectrum. The predissociative state is bound, and, therefore, is characterized by a set of discrete levels. The indirect channel implies the appearance of resonant structure in the photodissociation cross section as a function of the frequency of the incident radiation. Hence, discrete structure in the absorption spectrum indicates the indirect nature of the photodissociation. For example, analysis of the absorption spectrum of C2N2 leads to the conclusion that the process C2N2 (C- -IIu)+ hv -+ CNCX rtj +CN(A II) at V = 164 nm is an indirect photodissociation process (8). [Pg.97]

Figure 2 shows another example of the need for discrete-level descriptions of nuclei. Two computations of the 89Y(n,y) excitation function[GAR84b] were made. In the first, the 89Y and nuclei were described above the ground state with an additional 24 levels provided by E. A. Henry[HEN77] in the second, the additonal levels were replaced with the Gilbert-Cameron level-density formulae and the Cook-modified parameters. Since the first level above the ground state in 89Y lies at 0.9 MeV, no inelastic... [Pg.107]

Figure 1. Calculated (n,2n) and (n,3n) excitation functions for 16 Tm [GAR84a), with discrete-level descriptions of 167Tm that included 63 levels (solid curves) and only the ground-state level (broken curves), compared with experimental data from [BAY75,NET72,NET76,VEE77]. Figure 1. Calculated (n,2n) and (n,3n) excitation functions for 16 Tm [GAR84a), with discrete-level descriptions of 167Tm that included 63 levels (solid curves) and only the ground-state level (broken curves), compared with experimental data from [BAY75,NET72,NET76,VEE77].
Role of Discrete Levels in Deriving Absolute Dipole Strength Functions... [Pg.116]

A very effective method to describe scattering and transport is the Green function (GF) method. In the case of non-interacting systems and coherent transport single-particle GFs are used. In this section we consider the matrix Green function method for coherent transport through discrete-level systems. [Pg.220]

In practical applications, the continuum is often approximated by a discrete spectrum. To this end, one conveniently introduces a potential wall at long internuclear separations and solves for the artifically bound states.171,172 Alternatively, basis set expansion techniques can be employed.195,196 In either case, the density of states depends on external conditions, that is, the size of the box or the number of basis functions. This dependence on external conditions has to be accounted for by the energy normalization. Instead of employing a single continuum wave function with proper energy E in Eq. [240], one samples over the discrete levels with energy E -... [Pg.191]

Let us briefly discuss the relationship between approaches which use basis sets and thus have a discrete single-particle spectrum and those which employ the Hartree-Fock hamiltonian, which has a continuous spectrum, directly. Consider an atom enclosed in a box of radius R, much greater than the atomic dimension. This replaces the continuous spectrum by a set of closely spaced discrete levels. The relationship between the matrix Hartree-Fock problem, which arises when basis sets of discrete functions are utilized, and the Hartree-Fock problem can be seen by letting the dimensions of the box increase to infinity. Calculations which use discrete basis sets are thus capable, in principle, of yielding exact expectation values of the hamiltonian and other operators. In using a discrete basis set, we replace integrals over the continuum which arise in the evaluation of expectation values by summations. The use of a discrete basis set may thus be regarded as a quadrature scheme. [Pg.16]

Some fundamental differences exist for the three types of quantization. In particular, the densities of electronic states (DOS) as a function of energy are quite different, as illustrated in Fig. 9.2. For quantum films the DOS is a step function, for quantum dots there is a series of discrete levels and in the case of quantum wires, the DOS distribution is intermediate between that of films and dots. According to the distribution of the density of electronic states, nanocrystals lie in between the atomic and molecular limits of a discrete density of states and the extended crystalline limit of continuous bands. With respect to electrochemical reactions or simply charge transfer reactions. [Pg.264]

The discrete level structure is crucial for the lowest energy excitations, whose wavelength is comparable to Rq, and which represent collective excitations of the entire cluster. The eigenmomenta k e are defined by boundary condition (i) for the LDM, with je kneRo) = 0, where j -) are the spherical Bessel functions. The compressional density fluctuations in a liquid drop give a phonon-like discrete spectrum for all clusters sizes [84, 85, 128]... [Pg.263]

This is aehieved at discrete level using a distribution function as... [Pg.212]

The energy spectra predicted by the hydrogenic model is a series of sharp and discrete levels right up to the continuum i.e. the conduction band. Real exciton spectra, however, have a finite, tenperature dependent width (and line shape) and the peak positions are a function of size of the quantum dot . This is the consequence of the finiteness of the nanocrystal (a macroscopic crystal is infinite) whose boundaries present a potential barrier for the motion of the carrier and whose size could be of the order of og. These quantum size effects as well as the confinement of carriers (either together or separately) are the basic phenomena, the consequences of which are to be understood and exploited in excitonics [3]. [Pg.321]

Numerically, E (15-20) x quasi continuum actually takes place at very high levels of excitation of the asymmetric vibrational mode, close to the dissociation energy (see Fig. 5-14). Thus, most of the vibrational distribution function relevant to CO2 dissociation in this case, in contrast to the one-temperature approach, is not continuous but discrete. The discrete distribution function /(Va, Vs) over vibrational energies (5-16) can be presented analytically according to Licalter (1975a,b, 1976) in the Treanor form ... [Pg.274]


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See also in sourсe #XX -- [ Pg.109 , Pg.110 ]




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