  MOCAT-SSEM is a Source-Sink model that predicts the Low Earth Orbit (LEO)
space population divided into families using a predefined set of interaction
parameters. Thanks to data from the Monte Carlo version of the model
(MOCAT-MC), which propagates singularly every object, it is possible to
estimate such parameters, assumed as additional stochastic variables. Thus,
this paper proposed a new set of parameters so that the new Source-Sink model
prediction better fits the computationally expensive and accurate MOCAT-MC
simulation. Estimation is performed by extracting stochastic quantities from
the space population, which has been analyzed to fit common probability density
functions.
