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Paper: GIM2D: an IRAF package for the Quantitative Morphology Analysis of Distant Galaxies
Volume: 145, Astronomical Data Analysis Software and Systems VII
Page: 108
Authors: Simard, L.
Abstract: This paper describes the capabilities of GIM2D, an IRAF package for the quantitative morphology analysis of distant galaxies. GIM2D automatically decomposes all the objects on an input image as the sum of a Sérsic profile and an exponential profile. Each decomposition is then subtracted from the input image, and the results are a ``galaxy-free'' image and a catalog of quantitative structural parameters. The heart of GIM2D is the Metropolis Algorithm which is used to find the best parameter values and their confidence intervals through Monte-Carlo sampling of the likelihood function. GIM2D has been successfully used on a wide range of datasets: the Hubble Deep Field, distant galaxy clusters and compact narrow-emission line galaxies.
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