AIDA: a software package for 2D model fitting analysis of astronomical images

Michela Uslenghi; Renato Falomo

doi:10.1117/12.913305

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24 September 2011 AIDA: a software package for 2D model fitting analysis of astronomical images

Michela Uslenghi, Renato Falomo

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Proceedings Volume 8135, Applications of Digital Image Processing XXXIV; 813524 (2011) https://doi.org/10.1117/12.913305
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

AIDA (Astronomical Image Decomposition and Analysis) is a software package originally developed to analyze images of galaxies with a bright nucleus and to perform the decomposition into the nuclear and the galaxy components. The package is able to perform photometrical and morphological study of faint galaxies as well as standard photometry of stellar fields. With the use of graphical interfaces, AIDA assists interactively the user in selecting sources and preparing them for the analysis. Since the decomposition into the galactic and nuclear components, in particular in the case where the nucleus is dominant, requires a careful characterization of the PSF, AIDA has been designed to manage complex 2-D models (both analytical and empirical, or a combinations of them), even variable in the field of view, making it suitable for Adaptive Optics observations. PSF models can be provided by the user or modeled by AIDA itself using reference stars in the images. Relevant parameters of the target sources are then extracted by fitting source models convolved with the PSF. In addition to the standard (interactive) mode AIDA can also perform automatic processing of a large numbers of images, extracting the PSF model from each image and evaluating source parameters for targets (stars, galaxies, AGN or QSO) by model fitting. With this automatic mode, AIDA can process, in a fully automatic way, large datasets of targets distributed in several images.

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Michela Uslenghi and Renato Falomo "AIDA: a software package for 2D model fitting analysis of astronomical images", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 813524 (24 September 2011); https://doi.org/10.1117/12.913305

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