45. Stellar Classification

Classification of Stellar Spectral Data Using SVM

In this paper a new technique is developed on stellar spectral classification. Because stellar spectral data sets are usually extremely noisy, wavelet de-noising method is proposed to reduce noise first. Then the support vector machines (SVM) is used for the classification. Experimental results show that in most cases, there will be a better performance using this composite classifier than usin...

Classification & Stellar Content of Galaxies - A. Sandage

Hybrid Strategy for Automatic Stellar Classification

This paper describes an hybrid approach to the unattended classification of optical spectra of stars. The classification of stars in the standard MK system constitutes an important problem in the Astrophysics area, since it helps to carry out proper stellar evolution studies. Manual methods, based on the visual study of stellar spectra, have been frequently and successfully used by researchers ...

Quantitative Stellar Spectral Classification . Iii . Spectral Resolution

The method developed by Stock & Stock (1999) to derive absolute magnitudes and intrinsic colors is applied to simulated low-resolution spectra. The simulation is made by convolving real spectra with a Gaussian function, σ (the full width at half maximum), related to the final spectral resolution. The accuracy with which the stellar parameters are determined indicates that the method may be appl...

Structure-based classification of 45 FK506-binding proteins.

The FK506-binding proteins (FKBPs) are a unique group of chaperones found in a wide variety of organisms. They perform a number of cellular functions including protein folding, regulation of cytokines, transport of steroid receptor complexes, nucleic acid binding, histone assembly, and modulation of apoptosis. These functions are mediated by specific domains that adopt distinct tertiary conform...