Automated knowledge-based analysis and classification of stellar spectra using fuzzy reasoning

摘要

This paper presents the application of artificial intelligence techniques to optical spectroscopy, a specific field of Astrophysics. We propose the analysis, design and implementation of an intelligent system for the analysis and classification of the low-resolution optical spectra of supergiant, giant and dwarf stars, with luminosity levels I, III and V, respectively.The developed system automatically and objectively collects the most important spectral features, and determines the temperature and luminosity of the stars according to the current standard system.The system development combines signal processing, expert systems and fuzzy logic techniques, and integrates them through the use of a relational database, which allows us to structure the collected astronomical data and to contrast the results of the different classification methods.As an additional research, we have designed and implemented several models of artificial neural networks, including them as an alternative method for the classification of spectra.