Modeling Energetic Heavy Ion Reactions: Calculation of Measurables from Collective Models

The planned post-doctoral project is targeting studies of fundamental matter under extreme conditions by means of high energy heavy ion reactions. This field is of high priority of current international physics research. One of the largest CERN projects, ALICE, is addressing this subject. The Universities of Oslo and Bergen are strongly involved, as part of the Norwegian CERN Programme. Under conditions of high density and high temperature, normal hadronic matter is expected to undergo a phase transition to deconfined quark matter, the so-called Quark-Gluon Plasma (QGP). The aim of heavy ion collisions is to create immensely high energy densities, which can break down the forces confining quarks inside more complex particles. In order to understand what happens in the experiments, one needs a complete theoretical description of all the stages of the heavy ion reaction. A realistic model should contain at least three modules for the three main stages of the collisison - initial, middle and freeze out pro cesses - where the different stages are each described by suitable theoretical approaches. Thus, a so-called Multi Module Model is required. Our goal is to develop a model, which fulfill this requirement, and gain information on the statistical propertie s of the Quark-Gluon Plasma by using this model. Lots of work has already been done to build such a Multi Module Model, but further development is necessary to bring this task to an end. Especially, the module describing the final - Freeze Out (FO) - stag e must be improved. This module is particularly important, because it describes the observables, which are then compared to the experimental results. Our aim is to work out and demonstrate a Freeze Out model and evaluate measurables in different levels o f approximation of the post FO distribution function. Our model results then will be checked by comparison to the experimental data. We also plan to make the Multi Module Model applicable for GRID computing.