Title:GALAPAGOS - Computational study of galaxy morphologies for a high number 
of objects

Abstract:
Imaging surveys provide large galaxy samples ideally suited for statistical 
analysis of structural characteristics.
Our code GALAPAGOS can process a complete set of survey images by automating 
source detection, postage stamp cutting, object mask preparation, sky 
background estimation and two-dimensional light profile modelling (Barden et 
al. 2012).
It combines SExtractor (Bertin et al. 1996) and GALFIT (Peng et al. 2010) to 
perform Sersic fitting including possibly overlapping neighbors for a complete 
data set. Here we introduce the latest version of GALAPAGOS, which is 
programmed in C. Utilizing MPI parallelization allows to process even the 
largest data sets on modern supercomputers (Hiemer et al., in prep.).
In addition, the new version integrates GALFIT features for fitting of multiple 
components by superimposing Sersic profiles for several galaxy components as 
well as fitting asymmetrical distortions by applying a Fourier mode expansion 
on elliptical isophotes.
We are going to apply the new version of GALAPAGOS initially to the STAGES 
(Gray et al. 2008) and the GEMS surveys (Rix et al. 2004) to investigate the 
evolution with time and the dependence on environment of the structure of 
discs, bulges, bars, and galactic asymmetries.