Commission 29. (Stellar Classification.)

O 29: Autoimmune Myasthenia Gravis Introduction, Immunopathogenesis and Classification

Autoimmune Myasthenia Gravis (MG) is a unique disease among all autoimmune disorders in two ways. First, there are a wide range of sub-specialties involved in the diagnosis and management of MG; secondly MG is an autoimmune disorder whose autoimmunity is well established. In this paper I will cover these topics: history and epidemiology of MG followed by a brief overview on physiology of neurom...

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...