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GALAPAGOS-C: analysis of galaxy morphologies using high-performance computing methods
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DOI：10.1093/mnras/stu1649.png)
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We present GALAPAGOS-C, a code designed to process a complete set of survey images through automation of source detection (via SEXTRACTOR), postage stamp cutting, object mask preparation, sky background estimation and complex two-dimensional light profile Sersic modelling (via GALFIT). GALAPAGOS-C is designed around the concept of MPI-parallelization, allowing the processing of large data sets in a quick and efficient manner. Further, GALAPAGOS-C is capable of fitting multiple-Sersic profiles to each galaxy, each representing distinct galaxy components (e.g. bulge, disc, bar), in addition to the option to fit asymmetric Fourier mode distortions. The modelling reliability of our core single-Sersic fitting capability is tested thoroughly using image simulations. We apply GALAPAGOS-C to the Space Telescope A901/902 Galaxy Evolution Survey to investigate the evolution of galaxy structure with cosmic time and the dependence on environment. We measure the distribution of Sersic indices as a function of local object density in the A901/902 cluster sample to provide one of the first measures of the Sersic index-density relation. We find that the fraction of galaxies with a high Sersic index (2.5 < n < 7.0) is higher in denser environments (similar to 35 per cent), halving towards sparsely populated regions (similar to 15 per cent). The population of low Sersic index galaxies (0.4 < n< 1.6) is lower in denser environments (similar to 35 per cent), increasing towards sparsely populated regions (similar to 60 per cent). The population of intermediate Sersic index galaxies (1.6 < n < 2.5) approximately follows the trend of the high Sersic index types.
Keyword:
surveys
galaxies: evolution
galaxies: statistics
galaxies: structure
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4.8
论文数:
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被引数:
25.0W
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