A Tree-­based SPH Algorithm to investigate the interaction of a young Binary Star and its gaseous disk.

The scientific target of my PhD activity in Astronomy, Astrophysics and Space Science, consists in studying several kinds of protostellar gaseous disks around young binary systems, to understand the role of the two stars on the dynamical and thermal evolution of gas. In this context, I will present some preliminary work, consisting in the implementation of a Tree-based 3D Smoothed Particle Hydrodynamics code. This algorithm is designed to treat multi phase systems made of gas and point-mass particles which can represent both stars and planets. The numerical code is suitably implemented to take efficiently into account both gravitational interactions and the internal thermodynamics in a full Lagrangian approach. The code has been parallelized on shared memory architectures. Some preliminary tests and applications on gas distributions around single and binary systems will be shown. The main motivation to start writing a new algorithm is to provide a suitable and flexible tool to study a wide ensemble of gas and stars systems, in support of the several topics (in Planetology and in self-gravitating systems) of the research groups I am involved with. In this framework, the study of the role of gas in stellar aggregates represents an important part of the research. To perform such investigations, my algorithm will be easily provided with several additional physical effects, and its level of parallelization will be increased to exploit dedicated hardware of multicore platforms, such as the composite CPU+GPU architectures