The EFIGI (Extraction de Formes Idealisées de Galaxies en Imagerie) project proposes to address the computational aspects of galaxy morphometry and to develop a robust and scalable solution to measure galaxy morphologies for numbers of objects in wide imaging surveys. The participating laboratories are the IAP, the LTCI and the LRDE in Paris, the LAM in Marseille, the OMP in Toulouse and the CRAL in Lyon.
What’s new?
Download the latest version of the EFIGI reference dataset (V.1.6.2)
The EFIGI reference dataset (Baillard et al. 2011) provides detailed morphological information as well as imaging data for a subset of 4458 galaxies from the RC3 catalogue.
Notes:
May 16, 2011: V1.6.1 fixes an issue where the α and δ coordinates would be inadvertently swapped for some objects.
Jul 28, 2011: V1.6.2 fixes corrupted B/T values for some early type galaxies.
Jan 1, 2012: added archive containing colour g,r,i composite images in PNG format.
 Data tables |
SDSS u images |
SDSS g images |
SDSS r images |
SDSS i images |
SDSS z images |
PSF images |
colour images |
Collaboration papers
- A. Baillard, E. Bertin, V. de Lapparent, P. Fouqué, S. Arnouts, Y. Mellier, R. Pelló, J.-F. Leborgne, P. Prugniel, D. Makarov, L. Makarova, H.J. McCracken, A. Bijaoui, L. Tasca, 2011: The EFIGI catalogue of 4458 nearby galaxies with detailed morphology, A&A 532, 74
- V. de Lapparent, A. Baillard, E. Bertin, 2011: The EFIGI catalogue of 4458 nearby galaxies with morphology II. Statistical properties along the Hubble sequence, A&A 532, 75
- J. Dumoncel, M. Campedel, H. Maître, A. Baillard, E. Bertin, V. de Lapparent, P. Fouqué, J.-F. Le Borgne, R. Pelló, D. Makarov, L. Makarova, P. Prugniel, S. Arnouts, 2008: An automatic method to determinate the degree of flocculence of a galaxy, in Astronomical Data Analysis Software and Systems XVII, ASP Conf. Series 394, 497
- O. Ricou, A. Baillard, E. Bertin, F. Magnard, C. Marmo, Y. Mellier, 2008: Web services at TERAPIX, in Astronomical Data Analysis Software and Systems XVII, ASP Conf. Series 394, 277
- C. Berger, T. Géraud, R. Levillain, N. Widynski, A. Baillard, E. Bertin, 2007: Effective Component Tree Computation with Application to Pattern Recognition in Astronomical Imaging, in Proceedings of the IEEE International Conference on Image Processing (ICIP)
- A. Baillard, C. Berger, E. Bertin, T. Géraud, R. Levillain, N. Widynski, 2007: Algorithme de Calcul de l’Arbre des Composantes avec Applications à la Reconnaissance des Formes en Imagerie Satellitaire (in French), in Proceedings of the 21st Symposium on Signal and Image Processing (GRETSI)
- A. Baillard, E. Bertin, Y. Mellier, H.J. McCracken, T. Géraud, R. Pelló, J.-F. Le Borgne, P. Fouqué, 2006: Project EFIGI: Automatic classification of galaxies, in Astronomical Data Analysis Software and Systems XV, ASP Conf. Series 351, 236
On the web
Acknowledgements
This work has been supported by grant 04-5500 (“ACI masse de données”) from the French Ministry of Research.
This research made use of the HyperLeda database, the VizieR catalogue access tool (Ochsenbein et al. 2000) and the Sesame service at CDS (Strasbourg, France), as well as the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.
This research also made use of the Sloan Digital Sky Survey. Funding for the SDSS and SDSS-II has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, the U.S. Department of Energy, the National Aeronautics and Space Administration, the Japanese Monbukagakusho, the Max Planck Society, and the Higher Education Funding Council for England. The SDSS is managed by the Astrophysical Research Consortium for the Participating Institutions. The Participating Institutions are the American Museum of Natural History, Astrophysical Institute Potsdam, University of Basel, University of Cambridge, Case Western Reserve University, University of Chicago, Drexel University, Fermilab, the Institute for Advanced Study, the Japan Participation Group, Johns Hopkins University, the Joint Institute for Nuclear Astrophysics, the Kavli Institute for Particle Astrophysics and Cosmology, the Korean Scientist Group, the Chinese Academy of Sciences (LAMOST), Los Alamos National Laboratory, the Max-Planck-Institute for Astronomy (MPIA), the Max-Planck-Institute for Astrophysics (MPA), New Mexico State University, Ohio State University, University of Pittsburgh, University of Portsmouth, Princeton University, the United States Naval Observatory, and the University of Washington.