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Paper: Using a Novel Hybrid Algorithm for Two-Dimensional Model of Brightness Profiles in Elliptical and Spiral Galaxy Images
Volume: 351, Astronomical Data Analysis Software and Systems XV
Page: 232
Authors: Gomez, J.C.; Fuentes, O.
Abstract: In this work we present a novel two-dimensional fitting algorithm to model brightness profiles of spatially well resolved elliptical and spiral galaxies from an image. The algorithm is based on Evolution Strategies (ES), an optimization technique that has been used in other astronomical problems with good results (Gomez et al. 2004), and Locally Weighted Linear Regression (LWLR). The problem can be seen as an optimization problem because we need to minimize the difference between the observational image and the model we produce.
For the fitting we used two models: the de Vaucoleurs profile and an exponential disk. The model is constructed with generalized ellipses that fit brightness profile of the image following the equations given by the two models used. In the end, we have an artificial image that represents the light distribution in the real image. Results presented here show that ES+LWR is a well suited method to work with two-dimensional fitting in spiral and elliptical galaxy images.
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