1999
DOI: 10.1016/s0009-2614(99)00576-x
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SU(2) approximation to the coupling of Morse oscillators

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Cited by 64 publications
(82 citation statements)
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“…Their relation with the structure constants, however, was still lacking. Recently, it was shown that the U(2) model automatically gives the correct coupling between Morse oscillators as long as they only interact via the dominant ⌬v ϭ Ϯ1 selection rule (43). This result not only clarifies the approximation involved when considering the U(2) group, but also suggest a procedure to extend the model to obtain a description closer to the Morse oscillators results (44).…”
Section: Su(2) Approximationmentioning
confidence: 67%
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“…Their relation with the structure constants, however, was still lacking. Recently, it was shown that the U(2) model automatically gives the correct coupling between Morse oscillators as long as they only interact via the dominant ⌬v ϭ Ϯ1 selection rule (43). This result not only clarifies the approximation involved when considering the U(2) group, but also suggest a procedure to extend the model to obtain a description closer to the Morse oscillators results (44).…”
Section: Su(2) Approximationmentioning
confidence: 67%
“…where the coefficients ␤ i ⌫,␥, x are identical to the ones appearing in the coordinate projection [42]- [43]. Transformation [55] provides a realization of the tensors -Ϯ, x ⌫,␥ , and consequently of the Hamiltonian [50], in terms of local operators a i † (a i ).…”
Section: Normal-mode Descriptionmentioning
confidence: 99%
“…Here b † i (b i ) with i = 1, 2 are creation and annihilation operators acting on the Morse eigenfunctions [57]. The anhar-monization (59) is equivalent to consider the linear approximation [29,30,60] …”
Section: Force Constants In the Algebraic Approachmentioning
confidence: 99%
“…The exact connection of the U (2) model with the Morse and Pöschl-Teller potentials was established in Refs. [29,30,33]. This connection opened up the possibility of obtaining force constants from the optimized values of Hamiltonian parameters [31,32,40].…”
Section: Introductionmentioning
confidence: 99%
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