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Published in:
2005 | OriginalPaper | Chapter
Design of Astronomical Filter Systems for Stellar Classification Using Evolutionary Algorithms
Author : Coryn A.L. Bailer-Jones
Published in: Classification — the Ubiquitous Challenge
Publisher: Springer Berlin Heidelberg
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I present a novel method for designing filter systems for astrophysical surveys. The filter system is designed to optimally sample a stellar spectrum such that its astrophysical parameters (APs: temperature, chemical composition etc.) can be determined using supervised regression methods. The problem is addressed by casting it as an optimization problem: A figure-of-merit (FoM) is constructed which measures the ability of the filter system to ‘separate’, in a vectorial sense, stars with different APs; this FoM is then maximized with respect to the parameters of the filter system using an evolutionary algorithm. The resulting filter systems are found to be competitive in performance with conventionally designed systems.