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Manuscript Title: The code LINDA: a Monte Carlo reaction simulation for correlated fragments and evaporation residues formed in nuclear reactions.
Authors: E. Duek, L. Kowalski, J.M. Alexander
Program title: LINDA
Catalogue identifier: ABPO_v1_0
Distribution format: gz
Journal reference: Comput. Phys. Commun. 34(1985)395
Programming language: Fortran.
Computer: UNIVAC 1100/82.
Operating system: UNIVAC 1100 TIME SHARING EXEC-MULTIPROCESSOR SYS.
RAM: 37K words
Word size: 36
Keywords: Nuclear physics, Inelastic reactions, Direct particle emission, Particle evaporation, Scattering, Evaporation residues, Monte carlo method, General experiment.
Classification: 17.4.

Nature of problem:
The code LINDA is a Monte Carlo reaction simulation for fission-like products and evaporation residues from complex nuclear processes such as complete fusion, incomplete fusion, fission and deeply inelastic reactions. In these reactions it is important to consider the combined kinematic effects of the distributions in mass, energy and angle for the heavy fragments. In addition, the final properties of the heavy fragments depend on the summation of recoil kicks from the emission of light particles. The user of LINDA must specify the intrinsic energy and angular distributions for the various emitted particles. The output of LINDA gives angular and energy distributions for the heavy fragments as well as contour maps for various correlations.

Solution method:
A Monte Carlo method is employed. This allows the consideration of a large number of variables which are known to influence the kinematic properties of the fragments. An analytic approach to this problem is intractable due to this large number of variables.

Restrictions:
Some options of the program could require considerable amounts of CPU time; thus, the user is advised to make several test executions with a small number of attempts (trials).

Unusual features:
LINDA has been constructed to be used both as a tool for experiment planning and also, due to its versatile input, to aid in experimental analysis.

Running time:
17 s (CPU) per 1000 events (input deck 1).