Biology – Quantitative Biology – Quantitative Methods
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...211.1316w&link_type=abstract
American Astronomical Society, AAS Meeting #211, #13.16; Bulletin of the American Astronomical Society, Vol. 39, p.757
Biology
Quantitative Biology
Quantitative Methods
Scientific paper
Galaxy classification is important for obtaining a better understanding of galaxy evolution and morphology. Quantitative methods of classification need to improve so that morphological classification schemes can become more detailed, which will help further our knowledge of the physics governing galactic behavior. We worked on determining a quantitative means for classifying galaxies as either barred or non-barred. We studied a sample of 43 galaxy images, each of which was clearly noted as either barred or non-barred, using Fourier data obtained by Fourier series reconstructions of the images. The Fourier data of each galaxy came from Fourier series used to model the flux around several elliptical annuli centered on the galaxy. Focusing only on the features characterizing each galaxy as barred or non-barred, we searched for parameters that, when applied to the sample galaxies, provided a separation between the two classification types. The parameters were developed from the Fourier amplitude and azimuthal profiles. We found that several important factors had to be considered when inspecting the outcome of various parameter sets, including the centering of the annuli on the bright galactic nucleus and the number of annuli used to create the Fourier model. The best results came from a parameter set consisting of the ratio and the mean measure of the two highest peaks in azimuthal profiles composed of 16 Fourier terms. The success of parameters based on azimuthal profiles hints of possible approaches to begin work on classification and quantification of spirals, rings, and other detailed morphological features of galaxies. This project was completed in ten weeks during the McDonald Observatory REU and was supported under NSF AST-0649128.
Odewahn Stephen
Williams Ben
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