Results from testing parametric galaxy fitting codes


This page presents catalogues used in Häußler et al. 2007 (accepted for publications in ApJ) and further catalogues, images and scripts that can be used for testing galaxy fitting codes and/or galaxy simulations. Please feel free to download and use them to test your own pipelines. The data resembles typical z-band tiles from the GEMS survey, that is HST data with a resolution of  0.03 arcsec and an exposure time of  2286 seconds.

GEMS fitting results (41,495 real objects)  
GEMS fitting results (fits-table)
GEMS fitting results (ascii-file)
GEMS fitting results README
These catalogues (both fits-table and ascii-file) contain the fitting results from all galaxies present in the GEMS survey.
It is essentially identical to Table 9 in the paper. Please be aware that the errorbars given do NOT show errorbars returned by GALFIT itself, but were derived by a more statistical approach using the simulation. Both the simulations and the estimation of the errors given are discussed in the paper.
For explanation of the different columns and formats, please read the README file.

Catalogues discussed in Häußler et al. 2007

(accepted by ApJ)
 
Disk  & README This catalogue (fits-table) contains the simulated as well as GALFIT and GIM2D parameters for the set of simulated disk galaxies (1600 simulated galaxies with n=1) that was used for the paper. For GALFIT a bigger catalogue can be obtained here (README), containing 40000 simulated galaxies with SExtractor and fitting parameters (GALFIT only!).
Errorbars in this catalogue show values returned by GALFIT.
deVauc  & README This catalogue (fits-table) contains the simulated as well as GALFIT and GIM2D parameters for the set of simulated de Vaucouleurs galaxies (1600 simulated galaxies with n=4) that was used for the paper. For GALFIT a bigger catalogue can be obtained here (README), containing 40000 simulated galaxies with SExtractor and fitting parameters (GALFIT only!).
Errorbars in this catalogue show values returned by GALFIT.
deep-shallow  & README The results from the deep-shallow testing using GEMS and the deeper GOODS data discussed in the paper. As this table has very many columns please read the README carefully if you want to use it.
GEMS-fake  & README The results catalogue from using fake GEMS tiles (realistic parameter distribution of the galaxies as derived by GALFIT).
GALFIT sky test  & README The results catalogue from testing different sky levels when using GALFIT. Please read the README file before using it.
GIM2D Model A  & README These catalogues (model A to model K, including a common README file), show the fitting results from 12 different setups (See Tables 7 & 8 in the paper) discussed in the paper in detail. Model A is the "best-fitting" setup chosen by us, model K is the setup recommended on the GIM2D webpage.
GIM2D Model B
GIM2D Model C
GIM2D Model D
GIM2D Model E
GIM2D Model F
GIM2D Model G
GIM2D Model H
GIM2D Model I
GIM2D Model J
GIM2D Model K
   
Images used for the Paper These images can be used to test other fitting codes and compare the results to our own findings as these were the images used for the paper.
Disk0001/Disk0002 (cat1cat2) & README The images containing the disk (n=1) sample (including simulation catalogues for each tile), discussed in the paper.
Bulge0001/Bulge0002 (cat1cat2) The images containing the deVauc (n=4) sample (including simulation catalogues for each tile), discussed in the paper.
additionally, 2 images of the set "GEMS-fake" (see below)
were used and discussed in the paper
(Tile GEMS03 & GEMS04).
The fake GEMS tiles discussed in the paper showing a much more realistic distribution of galaxy parameters. Please see below for further tiles and simulation catalogues
   
Images for further code testing this section shows re-simulated images of all GOODS (shallow) and GEMS tiles.
simulated images of general Sérsic indices These images were simulated using the same code as the Disk and deVauc simulations above, but using an artificial distribution of Sérsic indices rather than single values as was the case above.
Sersic0001  (catalogue), Sersic0003  (catalogue), Sersic0004  (catalogue), Sersic0005  (catalogue),
Sersic0006  (catalogue), Sersic0007  (catalogue), Sersic0008  (catalogue), Sersic0009  (catalogue)
Sersic0002 and Sersic0010 had missing files and were therefore deleted June 2009
   
GOODS data (shallow, roughly as deep as GEMS; z-band):  
GOODS 01 (catalogue), GOODS 02 (catalogue), GOODS 03 (catalogue), GOODS 04 (catalogue), GOODS 05 (catalogue),
GOODS 06 (catalogue), GOODS 07 (catalogue), GOODS 08 (catalogue), GOODS 09 (catalogue), GOODS 10 (catalogue),
GOODS 11 (catalogue), GOODS 12 (catalogue), GOODS 13 (catalogue), GOODS 14 (catalogue), GOODS 15 (catalogue
GEMS data (z-band)  
GEMS 01 (catalogue), GEMS 02 (catalogue), GEMS 03 (catalogue), GEMS 04 (catalogue), GEMS 05 (catalogue),
GEMS 06 (catalogue), GEMS 07 (catalogue), GEMS 08 (catalogue), GEMS 09 (catalogue), GEMS 10 (catalogue),
GEMS 11 (catalogue), GEMS 12 (catalogue), GEMS 13 (catalogue), GEMS 14 (catalogue), GEMS 15 (catalogue),
GEMS 16 (catalogue), GEMS 17 (catalogue), GEMS 18 (catalogue), GEMS 19 (catalogue), GEMS 20 (catalogue),
GEMS 21 (catalogue), GEMS 22 (catalogue), GEMS 23 (catalogue), GEMS 24 (catalogue), GEMS 25 (catalogue),
GEMS 26 (catalogue), GEMS 27 (catalogue), GEMS 28 (catalogue), GEMS 29 (catalogue), GEMS 30 (catalogue),
GEMS 31 (catalogue), GEMS 32 (catalogue), GEMS 33 (catalogue), GEMS 34 (catalogue), GEMS 35 (catalogue),
GEMS 36 (catalogue), GEMS 37 (catalogue), GEMS 38 (catalogue), GEMS 39 (catalogue), GEMS 40 (catalogue),
GEMS 41 (catalogue), GEMS 42 (catalogue), GEMS 43 (catalogue), GEMS 44 (catalogue), GEMS 45 (catalogue),
GEMS 46 (catalogue), GEMS 47 (catalogue), GEMS 48 (catalogue), GEMS 49 (catalogue), GEMS 50 (catalogue),
GEMS 51 (catalogue), GEMS 52 (catalogue), GEMS 53 (catalogue), GEMS 54 (catalogue), GEMS 55 (catalogue),
GEMS 56 (catalogue), GEMS 57 (catalogue), GEMS 58 (catalogue), GEMS 59 (catalogue), GEMS 60 (catalogue),
GEMS 61 (catalogue), GEMS 62 (catalogue), GEMS 63 (catalogue)
Simulation script  
simulate_galaxy.pro This script is the fundamental step in the simulation process. It creates a single profile (centered in the array) with the given parameters and does account for oversampling in the inner regions of the profile where this is important (please read the documentation in the file and the paper for further details). Putting this image on the correct spot in the final image should be done by the user. A more complete version of the simulation code might be published in the (near or not-so-near) future.
My email: boris @ mpia.de