| Abstract [eng] |
Understanding of star formation processes in galaxy disks is one of the most important problems of the contemporary astrophysics. Despite fast-growing amounts of observational data, which allow studies of star formation in galaxy disks, there is a lack of fast and robust models for the analysis of observations. For this purpose we developed a stochastic 2-D galaxy disk evolution model. The star formation in the model is simulated as a stochastic self-propagating process. Additionally, the model takes into account gas and star flows in the disk and outflows of the metal-enriched gas from the galaxy. We also developed a software package to study 2-D chemical and spectrophotometric galaxy properties over the evolution time by producing synthetic colour-magnitude diagrams of stellar populations at any time and at any position in the disk. We applied our model for the simulation of star formation history in the M33 galaxy. Based on the detailed analysis of the M33 galaxy evolution, we showed that, in order to resolve the evolution parameter degeneracy problem, it is necessary to use 2-D capabilities of the model as well as synthetic colour-magnitude diagrams of the resolved stellar photometry, which are the most informative measures to study nearby galaxies. |
