Programs in Physics & Physical Chemistry
|[Licence| Download | New Version Template] abie_v1_0.gz(13 Kbytes)|
|Manuscript Title: Matrix elements of the reaction matrix in finite nuclei.|
|Authors: R.J.W. Hodgson|
|Program title: REFERENCE REACTION MATRIX|
|Catalogue identifier: ABIE_v1_0|
Distribution format: gz
|Journal reference: Comput. Phys. Commun. 11(1976)113|
|Programming language: Fortran.|
|Computer: IBM 360/65.|
|Operating system: HASP OS/360 LEVEL 21.8.|
|RAM: 31K words|
|Word size: 32|
|Keywords: Nuclear physics, Reference reaction Matrix, Finite nuclei, Compound nucleus.|
|ABIF_v1_0||REACTION MATRIX||CPC 11(1976)113|
Nature of problem:
Matrix elements of the reaction matrix in finite nuclei are computed in the relative center-of-mass (RCM) harmonic-oscillator representation. A harmonic oscillator Pauli operator is employed together with purely kinetic particle states. The approach used follows that of Sauer. The Reid soft-core potential is employed in the code discussed.
A reference reaction matrix is first computed by matrix inversion, and harmonic-oscillator matrix elements of this evaluated by a double integration. The reaction matrix element can then be determined by solving a set of linear algebraic equations.
Matrix inversion is used to solve for the reference reaction matrix, as well as in the evaluation of the operators involved in the determination of the reaction matrix. The maximum dimension allowed is 16. However very good results are obtained using a dimension of 6.
During the first run of ABIF (REACTION MATRIX), data is output for use with ABIE (REFERENCE REACTION MATRIX), which in turn outputs required data for subsequent runs of ABIF.
The run of REACTION MATRIX to obtain a punched data deck takes approximately 5 s for each 10 matrix elements. REFERENCE REACTION MATRIX requires roughly 10 s for each 4 T-matrix elements. This figure was obtained from the test run. If a large number of elements are computed, this figure improves, as more use is made of stored intermediate results. REACTION MATRIX needs about 10 s for each 5 matrix elements. Both these times are exclusive of compile times.
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