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The properties of decays that take place during jet formation cannot beeasily deduced from the final distribution of particles in a detector. In thiswork, we first simulate a system of particles with well defined masses, decaychannels, and decay probabilities. This presents the "true system" for which wewant to reproduce the decay probability distributions. Assuming we only havethe data that this system produces in the detector, we decided to employ aniterative method which uses a neural network as a classifier between eventsproduced in the detector by the "true system" and some arbitrary "test system".In the end, we compare the distributions obtained with the iterative method tothe "true" distributions.

Introduction and analysis of a method for the investigation of QCD-like tree data