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Manuscript Title: Alpha-decay half-life semiempirical relationships with self-improving
parameters. | ||

Authors: D.N. Poenaru, M. Ivascu, D. Mazilu | ||

Program title: SEMIEMPIRICAL ALPHA HALF-LIFE | ||

Catalogue identifier: ABQQ_v1_0Distribution format: gz | ||

Journal reference: Comput. Phys. Commun. 25(1982)297 | ||

Programming language: Fortran. | ||

Computer: IBM 370/135. | ||

Operating system: DOS/VS-310. | ||

RAM: 95K words | ||

Word size: 8 | ||

Keywords: Nuclear physics, Particle detection, Radioactivity, Alpha decay, Semiempirical formulae, Half-life. | ||

Classification: 17.5. | ||

Nature of problem:From the alpha decay Q-values, the partial half-life T is estimated by using five semiempirical relationships. The parameters of these formulae have been obtained from a fit with a given set of experimental data on four groups of alpha emitters: even-even, even-odd, odd-even and odd-odd. For each nuclide only the strongest transition is considered and the data are automatically sorted into the four groups mentioned above. There are three options: one can use either the present set of parameter values, a new one given as input data, or new values computed by using a better set of experimental data (more accurate or more complete). For each group of nuclides, up to 8 (or 9) families of curves could be plotted, optionally, with the line printer. The calculated life-time can be compared either with the experimental one, if it is available, or with the time. | ||

Solution method:Only the additive parameters of the log T formulae are modified, by requesting a vanishing mean value of the absolute errors. The B- parameters are obtained by a parabolic least square fit. | ||

Restrictions:The maximum number of alpha emitters in each of the four groups can not be larger than 300 in a given run. Up to 40 curves are accepted by the plotting subroutine. | ||

Unusual features:The subroutines MZDPLT and MZDPFT could be used in other programs to plot a family of curves, or to make a bidimensional parabolic least squares fit, respectively. | ||

Running time:For 100 alpha emitters, the typical CPU running time on an IBM 370/135 ranges from 7 s (no plot) to 20 s (9 diagrams plotted) in the self- improving mode of operation and from 6 s to 18 s with the present set of parameters. |

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