Toward more precise photometric redshift estimation

We investigate how morphological information of galaxies help us to improve photometric redshift estimation. Using a catalog of morphologically classified bright galaxies derived from the Third Data Release of the Sloan Digital Sky Survey, the statistical properties of different photometrical parameters as a function of morphology are examined. Parameters that best correlates with morphology are used as an additional information to better estimate the redhift. Improvements of several percent are obtained.