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Manuscript Title: The MCEF code for nuclear evaporation and fission calculations.
Authors: A. Deppman, O.A.P. Tavares, S.B. Duarte, E.C. de Oliveira, J.D.T. Arruda-Neto, S.R. de Pina, V.P. Likhachev, O. Rodriguez, J. Mesa, M. Goncalves
Program title: MCEF
Catalogue identifier: ADQC_v1_0
Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 145(2002)385
Programming language: Java.
Computer: Pentium Intel 233.
Operating system: MS-DOS 6.00, Windows 95/NT 4.0, Linux.
RAM: 12M words
Word size: 16
Keywords: Photonuclear reactions, Evaporation, Fission, Monte Carlo method, Nuclear physics, Nuclear reaction.
Classification: 17.8.

Nature of problem:
The competition between evaporation and fission is an important problem in intermediate and high energy nuclear reactions. Here, neutrons, protons, alphas and possibly other particles escape from the excited nucleus in competition with the fission process. Considering the fact that an exact calculation including all the channels in this nuclear reaction could be a complex problem, a statistical description of all these possible decaying modes could be a major simplification. In fact, rough analytic approximations are possible, and the results are in reasonable agreement with the experimental data for relatively low reaction energies, where the most important reaction channels are just the neutron evaporation and fission. At higher energies, other channels, like proton and alpha particle evaporation, become important, and the analytical calculation of the reaction process is much more complex.

Solution method:
The most reasonable way to avoid the complexity of these problems, and to obtain the required data is the Monte Carlo (MC) simulation. In fact, this method is particularly suited for processes which are intrinsically statistical in their nature, as the nuclear reactions described above. Also, the object oriented approach for the algorithm is useful for solving this problem, since it is appropriate for the atomic nucleus problems, and turns the MC calculation clear stated problem.

Running time:
Depends on the desirable statistical accuracy. For the particular set of initial parameters shown as an example in this work, the running time is approximately 5s.