CFD-Optimization: a new approach to computational astrophysics

The process of comparing astronomical observations with numerical models is a critical aspect of modern astrophysical research. This comparison is typically done qualitatively and/or by running a grid of models and then selecting the model that best fits the available observational data. However, this process can be very computationally intensive and often does not allow to capture the true complexity of astrophysical systems. In this talk, I will describe a new approach to computational astrophysics, in which the optimal solution of a model is iteratively determined by coupling hydrodynamics modeling with optimization methods. I will demonstrate how these techniques can achieve detailed modeling of astrophysical objects, requiring only a tiny fraction of the time needed when using traditional methods. I will present applications of this method in studying astrophysical objects, particularly focusing on the dynamics of shock waves associated with radio emitting supernovae.