Bus demeo taxonomy11/8/2023 ![]() ![]() The spectral resolution has allowed the consistent identification of absorption features that have been used to distinguish between classes (Fig. This is possibly due to spectral features being closely tied to surface mineralogy and spectral reddening of the slope believed to be tied to the effects of space weathering. The Bus-DeMeo taxonomy benefits from much higher spectral resolution than the Tholen taxonomy as well as a much longer wavelength cutoff since the 12.5 m region was added. The overall robustness of the Bus-DeMeo taxonomy is corroborated through the relatively similar grouping structure between the C-, S-, and X-complexes in both wavelength ranges, suggesting an overall relationship between slope and qualities present across multiple wavelength regimes. The overall accuracy scores (>80%) of the machine learning test dataset validate the methodology, but fall short of the threshold necessary to replace current methods of classification (>95%). The Tholen tax-onomy describes 7 B types (plus 11 Bambiguous and about 50 F and Fambiguous) of a total of 589 objects (12), and the BusBinzel taxonomy describes 63 B types of 1190 objects (5) Bus and Binzel, 2002b. The results support the visible wavelength region as more diagnostic of spectral slope and the NIR wavelength region as more diagnostic for surface mineralogy. (1), are described in the recent paper presenting the Bus DeMeo taxonomy DeMeo et al., 2009. Using a dataset of spectrophotometric color indices derived from combined visible and near-infrared (NIR) observations and paired with Bus-DeMeo taxonomic class, I created a training dataset for the model to learn. 2009) taxonomic classification schema to test if machine learning can take the place of Principal Component Analysis. In this study, I selected the machine learning algorithm, k-Nearest Neighbor in combination with the current Bus-DeMeo (DeMeo, et al. The current method of Principal Component Analysis is computationally expensive and leaves ambiguous results. ![]() Taxonomic studies of asteroids have been ongoing for more than fifty years without a clear understanding of the class parameters. ![]()
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