Effective temperature, surface gravity, and metallicity are basic stellar parameters necessary to characterize a star. Once these parameters are obtained, we can in turn, infer their chemical abundances of various elements and in conjunction with evolutionary models to estimate their evolution, i.e., mass and radius. In this work, we use spectroscopy as a powerful tool to extract this information from stellar atmospheres applied to stars with spectral type FGK both dwarfs and giants. FASMA is a Python package to derive the main stellar atmospheric parameters based on the spectral synthesis technique. FASMA is run via terminal by setting the user options in a configuration file. FASMA includes all the inputs for spectral synthesis along with a manual for the derivation of stellar parameters and chemical abundances. The user has to provide solely the stellar spectrum for the analysis.

{"references": ["Tsantaki et al. (2020)", "Tsantaki et al. (2018)"]}