I will present the newly developed STATMORPH code (https://statmorph.readthedocs.io), which calculates non-parametric morphological diagnostics -- including the Gini-M20 and concentration-asymmetry-smoothness (CAS) statistics -- and performs 2D Sersic fits. The code has been applied successfully to galaxy images from various surveys. As a case study, I generated synthetic images of ~27,000 galaxies from the IllustrisTNG and the original Illustris hydrodynamic cosmological simulations, designed to match Pan-STARRS observations of log10(M*/Msun) = 9.8-11.3 galaxies at z = 0.05. Most of the synthetic images were created with the SKIRT radiative transfer code, including the effects of dust attenuation and scattering. The STATMORPH code was applied both to the synthetic images and to real images from the Pan-STARRS 3pi survey. This represents an "apples-to-apples" comparison between theory and observations, which can be used to assess the strengths and weaknesses of the IllustrisTNG galaxy formation model. I will present some results from this comparison.
Enviado por v.rodriguez@irya.unam.mx, 2019 Sep