Mathematics – Logic
Scientific paper
Dec 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006aas...209.1801b&link_type=abstract
2007 AAS/AAPT Joint Meeting, American Astronomical Society Meeting 209, #18.01; Bulletin of the American Astronomical Society, V
Mathematics
Logic
Scientific paper
Morphological classification of galaxies is a crucial foundation for understanding the physics of each galaxy type. This classification has historically been a matter of visually inspecting galaxy images and organizing the galaxies in categorical bins according to their appearance. Recently, however, more efficient, continuous and quantitatively meaningful classification methods have been required for insight into galaxy formation and evolution that must be extracted from the ever-growing amount of data available to the astronomical community. Our goal was to develop an automated method of recognizing structures in spiral galaxies and to quantify their strength for classification purposes. We present a preliminary automated method of reconstructing select galaxy images from the Ohio State University Bright Spiral Galaxy Survey using two-dimensional Fourier models of galaxies. Particular harmonics in the Fourier series were analyzed to recognize and quantify bars and spiral arms. One barred spiral galaxy and one non-barred spiral galaxy were used to illustrate the technique and to come to some preliminary conclusions. This work was carried out over ten weeks at the McDonald Observatory REU program supported under NSF AST-0243745.
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