Programs in Physics & Physical Chemistry
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|Manuscript Title: A microcanonical model of hot nuclei.|
|Authors: A.R. DeAngelis, D.H.E. Gross|
|Program title: MCFRAG|
|Catalogue identifier: ACNH_v1_0|
Distribution format: gz
|Journal reference: Comput. Phys. Commun. 76(1993)113|
|Programming language: Fortran.|
|Computer: CONVEX C-240.|
|Operating system: UNIX.|
|RAM: 1900K words|
|Word size: 32|
|Keywords: Nuclear physics, Nuclear disassembly, Statistical Fragmentation, Heavy ion collisions, Microcanonical, Thermodynamics.|
Nature of problem:
Recently it has been shown experimentally that highly excited nuclei will deexcite by fragmentation into one or more heavy pieces. New detectors enable experimentalists to measure exclusive quantities, including fluctuations and correlations. It is desirable to have models of this process capable of generating a large sample of events covering a wide region of the relevant phase space.
The decay of the excited nucleus can be calculated using statistical models. In our model we explicitly compute the probability (weight) of different decay channels. Using a Metropolis Monte Carlo algorithm we generate millions of theoretical events in proportion to their weights. Energy, mass and charge are exactly conserved in every event.
Our code assumes a statistical distribution, so it is applicable to thermalized systems as well as collections of systems which represent a statistical ensemble. These assumptions are generally valid in an energy range of about 1-20 MeV/nucleon.
Approximately 0.35 CPU-seconds per 1000 fragments produced without Coulomb trajectories on a VAX 6000-510, 0.20 CPU-seconds per 1000 fragments on a Convex C-240 (unvectorized).
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