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Born inversion

The most common approach to the solution of the electromagnetic inverse problem is based on linearization of the integral equations (10.2) and (10.3) using a Born approximation  [Pg.290]

Note that comparing formulae (10.12), (10.13) and (9.51), (9.52), we see that the expressions in the right hand sides of the Born approximations can be represented as the Frechet derivative operators calculated for the background conductivity db and the anomalous conductivity A5  [Pg.290]

The argument in the expressions for the Prechet differentials, FE,H b,Aa), consists of two parts. The first part, at, is the background conductivity distribution, for which we calculate the forward modeling operator variation the second part, Aa, is the anomalous conductivity, which plays the role of the background conductivity variation. We will use below the following simplified notations for the Fr6chet differentials [Pg.291]

Substituting the Born approximation (10.14) into formula (10.2), we arrive at the linearized form of the forward modeling operator [Pg.291]

In a solution of the inverse problem we assume that the anomalous field, E , and the background conductivity are given. The goal is to find the anomalous conductivity distribution. Ad. In this case, formula (10.16) has to be treated as a linear equation with respect to Ad. [Pg.291]


Bleistein, N, and S. H. Gray, 1985, An extension of the Born inversion method to a depth dependent reference profile Geophys. Prosp., 33, 999-1022. [Pg.284]

Before moving to the iterative Born inversion technique, we introduce a fast imaging technique based on a Born approximation. Let us recall formula (5.91) for an approximate regularized solution of the linear inverse problem. In the case of equation (10.16), this formula takes the form... [Pg.292]

Note that each equation, (10.41) and (10.42), is bi-linear because of the product of two unknowns. Ad and E. However, if we specify one of the unknowns, the equations become linear. The iterative Born inversion is based on subsequently determining Ad from equation (10.42) for specified E, and then updating E from equation (10.41) for predetermined Ad, etc. Within the framework of this method the Green s tensors Ge and Gh, and the background field stay unchanged. [Pg.296]

The iterative Born inversion based on the modified Green s operator involves subsequently determining A from equation (10.42) for specified E, and then updating E from equation (10.47) for predetermined A5, etc. [Pg.297]

After determining m and A it is possible to evaluate the anomalous conductivity distribution Aa from equation (10.63). This inversion scheme reduces the original nonlinear inverse problem to three linear inverse problems the first one (the quasi-Born inversion) for the tensor m, the second one for the tensor A, and the third one (correction of the result of the quasi-Born inversion) for the conductivity Act. This method is called a quasi-linear (QL) inversion. ... [Pg.301]

Figures 10-5 - 10-6 present the results of inversion for an xy polarized field using, respectively, the iterative Born and the diagonalized quasi-analytical (DQA) inversion methods, with focusing. Both methods produce good results. Note that inversion of theoretical MT data takes just few minutes on a personal computer. A remarkable fact is that it is possible for this polarization to separate the upper and lower parts of the dike. The position and shape of the dike are also reconstructed quite well. However, the resistivity of the dike is not recovered correctly, which is a common problem in nonlinear inversion. The first method (iterative Born inversion) underestimates the anomalous conductivity, while the second (DQA inversion) produces a more correct result. The reason for the underestimation of the conductivity by the iterative Born inversion is very simple. The linearized response, which is used in this technique, usually overestimates the anomalous field, which results in an underestimation of the conductivity in inversion. The quasi-analytical approximation produces a more accurate electromagnetic response, so the inversion works more accurately as well. Figures 10-5 - 10-6 present the results of inversion for an xy polarized field using, respectively, the iterative Born and the diagonalized quasi-analytical (DQA) inversion methods, with focusing. Both methods produce good results. Note that inversion of theoretical MT data takes just few minutes on a personal computer. A remarkable fact is that it is possible for this polarization to separate the upper and lower parts of the dike. The position and shape of the dike are also reconstructed quite well. However, the resistivity of the dike is not recovered correctly, which is a common problem in nonlinear inversion. The first method (iterative Born inversion) underestimates the anomalous conductivity, while the second (DQA inversion) produces a more correct result. The reason for the underestimation of the conductivity by the iterative Born inversion is very simple. The linearized response, which is used in this technique, usually overestimates the anomalous field, which results in an underestimation of the conductivity in inversion. The quasi-analytical approximation produces a more accurate electromagnetic response, so the inversion works more accurately as well.
The ideas of iterative Born inversion, introduced in Chapter 10 for an electromagnetic field, can be extended to wavefield inversion as well. Following the basic principles of this method, we first write the original integral equations for the acoustic or vector wavefields (14.20) and (14.81) as the domain equations for the wavefield inside the anomalous domain D ... [Pg.475]

Note in conclusion of this section that iterative Born inversion requires the application of the regularizing methods to make the solution stable. [Pg.475]

By cooling the solution in a freezing mixture (ice and salt, ice and calcium chloride, or solid carbon dioxide and ether). It must be borne in mind that the rate of crystal formation is inversely proportional to the temperature cooling to very low temperatures may render the mass... [Pg.129]

The copper EXAFS of the ruthenium-copper clusters might be expected to differ substantially from the copper EXAFS of a copper on silica catalyst, since the copper atoms have very different environments. This expectation is indeed borne out by experiment, as shown in Figure 2 by the plots of the function K x(K) vs. K at 100 K for the extended fine structure beyond the copper K edge for the ruthenium-copper catalyst and a copper on silica reference catalyst ( ). The difference is also evident from the Fourier transforms and first coordination shell inverse transforms in the middle and right-hand sections of Figure 2. The inverse transforms were taken over the range of distances 1.7 to 3.1A to isolate the contribution to EXAFS arising from the first coordination shell of metal atoms about a copper absorber atom. This shell consists of copper atoms alone in the copper catalyst and of both copper and ruthenium atoms in the ruthenium-copper catalyst. [Pg.257]

Metal dissolution is the inverse process to the deposition so its principles can be derived from preceding considerations. It should, however, be borne in mind that the preferred sites for deposition need not be the same as those for the dissolution. This is particularly true if the reactions are far from equilibrium. Therefore, rapid cycling of the potential between the deposition and the dissolution region can lead to a substantial roughening of the electrode surface, which can be used in techniques such as surface-enhanced Raman spectroscopy (see Chapter 15 ), which require a large surface area. [Pg.137]

The Born model of solvation overestimates solvation free energies but indicates the general trends correctly. Potential inversion, as observed in many other systems containing two identical oxidizable or reducible groups separated by an unsaturated bridge (Scheme 1.4), can be rationalized in the same manner. [Pg.73]

A detailed discussion of the theoretical evaluation of the adiabatic correction for a molecular system is beyond the scope of this book. The full development involves, among other matters, the investigation of the action of the kinetic energy operators for the nuclei (which involve inverse nuclear masses) on the electronic wave function. Such terms are completely ignored in the Born-Oppenheimer approximation. In order to go beyond the Born-Oppenheimer approximation as a first step one can expand the molecular wave function in terms of a set of Born-Oppenheimer states (designated as lec (S, r ))... [Pg.44]

These points indicate that the continuum theory expression of the free energy of activation, which is based on the Born solvation equation, has no relevance to the process of activation of ions in solution. The activation of ions in solution should involve the interaction energy with the solvent molecules, which depends on the structure of the ions, the solvent, and their orientation, and not on the Born charging energy in solvents of high dielectric constant (e.g., water). Consequently, the continuum theory of activation, which depends on the Born equation,fails to correlate (see Fig. 1) with experimental results. Inverse correlations were also found between the experimental values of the rate constant for an ET reaction in solvents having different dielectric constants with those computed from the continuum theory expression. Continuum theory also fails to explain the well-known Tafel linearity of current density at a metal electrode. ... [Pg.75]

These are not gasses they are vapors and/or air borne particles. The agent must be delivered in sufficient quantity to kill/injure, and that defines when/how it s used. Every day we have a morning and evening inversion where stuff, suspended in the air gets pushed down. This inversion is why allergies (pollen) and air pollution are worst at these times of the day. [Pg.263]

The second parameter, the initial mass function, serves to weight the contributions of stars with different masses in proportion to their number within a single generation. The initial mass function has been established empirically and appears to remain fairly stable in time. The number of stars of mass M is inversely proportional to the cube of M, to a first approximation, provided we exclude the slightest of them M < Mq). Looking at the mass distribution at birth, once established, we notice immediately how rare the massive stars are. For every star born at 10 Mq, there are a thousand births of solar-mass stars. [Pg.227]


See other pages where Born inversion is mentioned: [Pg.79]    [Pg.290]    [Pg.475]    [Pg.79]    [Pg.290]    [Pg.475]    [Pg.326]    [Pg.256]    [Pg.59]    [Pg.173]    [Pg.259]    [Pg.29]    [Pg.253]    [Pg.460]    [Pg.129]    [Pg.42]    [Pg.162]    [Pg.193]    [Pg.72]    [Pg.25]    [Pg.27]    [Pg.409]    [Pg.245]    [Pg.17]    [Pg.240]    [Pg.253]    [Pg.407]    [Pg.5]   


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