2003
DOI: 10.1002/qua.10467
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Numerical determination of complex resonance energies by using a superposition of δ‐potentials

Abstract: ABSTRACT:A method using a superposition of a finite but varied number of ␦-potentials has been applied to treat the integral Schrö dinger equation with three different potentials. Positions of scattering resonances are numerically determined as complex poles of the partial-wave S-matrix. The method, in principle, makes it possible to obtain several resonances for short-range potentials like a square well (or barrier). The numerical method is elaborated to treat integral equations and is applicable to solve pro… Show more

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Cited by 4 publications
(6 citation statements)
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“…This implies that U( z) decreases as r 3 ϱ only if ͉͉ Ͻ /2, i.e., if the ray (27) is in the right half plane. At the same time, the more ͉͉ is increasing, the slower the decrease of the potential.…”
Section: Complex Scalingmentioning
confidence: 93%
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“…This implies that U( z) decreases as r 3 ϱ only if ͉͉ Ͻ /2, i.e., if the ray (27) is in the right half plane. At the same time, the more ͉͉ is increasing, the slower the decrease of the potential.…”
Section: Complex Scalingmentioning
confidence: 93%
“…This method has proved a successful technique for solving homogeneous integral equations [27]. If the parameter r N is large enough, the contribution from the potential's tail U ( ) (r N ) at large r N can be neglected in Eq.…”
Section: Numerical Treatmentmentioning
confidence: 99%
“…Thus, using (8) and (9) we can obtain exact analytical solution of the Dirac equation with superposition of δ-potentials and numerical solution for a smooth potential.…”
Section: -2mentioning
confidence: 99%
“…To calculate the phase shifts (8) it is necessary to have the coordinates array a q and the coefficient array V q . In this method of solution the step between δ-functions can be different, therefore accuracy of numerical solution can be improved through increasing of density distribution of the δ-functions near sharp variation of the potential field.…”
Section: Smooth Potential Numerical Solutionmentioning
confidence: 99%
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