The MegaMorph (Measurement of Galaxy Morphology) project developed several novel approaches to aid the decomposition of galaxy images into their constituent physical components.
The software developed by MegaMorph: GALFITM and GALAPAGOS-2, are now publicly available from the project’s main homepage. Further information is also available on that page.
We also have a new Google+ page, where updates and news will be posted.
Our QNRF funding for the project has now come to an end, but the MegaMorph team is continuing its development and science activity, and we have several papers in the pipeline. In addition, a number of external groups are now using GALFITM and GALAPAGOS-2, so we look forward to seeing their results.
From the latest models of galaxy formation and evolution, it is becoming clear that there is a more fundamental distinction in the galaxy population than the usual classification: elliptical vs. spiral galaxies. The striking difference between elliptical and spiral galaxies is a result of variation in the relative visual prominence of the spheroid and disk components. However, measuring the properties of the single components within a galaxy is considerably more difficult than measuring its overall properties. Galaxies are complex structures and, beyond the general distinction between spheroids and disks, they display a range of higher level features; in addition to spiral arms, these include bars, rings, etc. These complexities make it difficult for computational methods to extract meaningful information.
MegaMorph tackles this problem by utilizing the full set of multi-color information available for each galaxy and applying a variety of novel techniques. We are developing efficient algorithms capable of robustly measuring the properties of the internal components of tens of thousands of galaxies. It is central to our goals that we produce tools that we can put to practical scientific use, both by ourselves, but also by the wider astronomical community.
MegaMorph was led by Steven Bamford at the University of Nottingham, together with Alex Rojas at Carnegie Mellon University in Qatar. The project was primarily funded by a grant from the Qatar National Research Foundation, which provided two postdocs dedicated to tackling this problem, one at Nottingham and another at CMU-Q. These posts were filled by Boris Haeussler and Marina Vika, respectively. In addition, Benedetta Vulcani, Arianna Cortesi, Andrea Borch and Jim Cresswell were been employed to work on the project for short periods. Steven Bamford was supported by an STFC Advanced Fellowship. We have also received some funding from Amazon Web Services.