Abstract
A galaxy spectrum can be represented as a linear combination of its stellar population components. In this work we design a new algorithm with a dynamical base (not static) of 2 Simple Stellar Population spectrum, which are used to recover the linear combination coefficients and also the age of the base of spectra that produce the best fitting. The Dynamical Base algorithm (DINBAS2D) was applied to a sample of 21290 galaxy spectra from the Sloan Digital Sky Survey (SDSS) with redshift between 0.15 and 0.16, as a result, a catalog of stellar population properties such as: Star formation History, metallicity, mass and mean age, was made. We also found a Mass-Age relation where older galaxies are more massive than younger ones.
