Abstract:
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Quantitative analysis of the morphology of galaxies is one of the main tools for understanding galaxy structure and studying their evolution. This analysis is based on images of galaxies which are affected by instrumental effects such as noise, background, and limited resolution, and it consists of: (a) fiting complex multi-component parametric models, and (b) calculating non-parametric moments of the images. A key challenge in this analysis is the selection of the best fit-model and the interpretation of the image moments given the noisy nature of the data and their limited resolution. I will present examples from the analysis of data obtained with ground-based as well as space telescopes, and current efforts to overcome these challenges.
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