-*Description:* As dark matter can not be seen, one way to measure its distribution in galaxies is through the internal motions of their gas and stars. The goal of this project is to develop a modular software to study rotation curves of dwarf galaxies by fitting them with theoretical models for their dark matter distribution using Monte Carlo. This includes estimating the best-model parameters and their uncertainties through X2 minimization and the analysis of likelihood contours, as well as the cross-comparison of different models based on the goodness of the fit. The students will receive support in good programming practices and object-oriented programming.
-*Sources:*
+ [See Sec. 1.2/1.3/1.4/1.4.1/1.4.3](https://www.iag.usp.br/pos/sites/default/files/t_juan_c_b_pineda_corrigida.pdf)
