Spectral preprocess and its influence on galaxy and quasar classification

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Galaxies: Fundamental Parameters (Classification), Quasars: General, Methods: Data Analysis

Scientific paper

Celestial spectra should be preprocessed before automated classification to eliminate the disturbance of noise, unstableness of observation environment, and flux aberrance, etc. In this work, methods for data representation and flux normalization are studied. First, the necessity of proper data representation and flux normalization is clarified by analyzing their influence on spectra automated analysis. Second, a flux varying model is proposed and several different normalization schemes are assessed. While on galaxy and quasar classification, experiment results show that the log-wavelength representation performs better than the wavelength representation, and surprisingly the commonly used normalization scheme performs worse than others, for example, a median-based one.

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