Pycosmicstar

Python Cosmic Star Formation Rate

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Introduction.

The cosmic star formation rate (CSFR) represents the rate of gas conversion in star into a given comove volume and time, typically in units of $M_{\odot}$ Mpc$^{-3}$ yr$^{-1}$. A semi-analytical approach of the CSFR can be used for understanding process that might have been occurred in the called cosmological dark age.  This kind of models are computationally inexpensive when compared to N-body/hydrodynamical simulations.

The pycosmicstar is a computational program based in the self-consistent semi-analitical model for
the CSFR of the work of Pereira & Miranda (2010).

The pycosmicstar is diveded in tree basic layers

1. Cosmological background;
2. Hierarchical scenario of structure formation based in the like Press-Schechter formalism;
3. The  cosmic star formation rate evolution.

In the package existe two abstract classes, cosmology and structureabstract. The class cosmology is passed as a parameter for the classes that implements structureabstract. This approach was used to take into account the polymorphism. In this case, the modeling of structures and star formation are not strong dependent of the cosmology. Thus just to generate a new cosmological class, that implements the methods of abstract class cosmology, to study, for example, the role of dark energy in the CSFR evolution.

Contact:

pereira.somoza@gmail.com

Support:

        

Brazilian Agency FAPESP (Fundação de Amparo a Pesquisa do Estado de São Paulo);

INPE/DAS  (Instituto Nacional de Pesquisas Espaciais - Divisão de Astrofísica)