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Stellar Spectral Classification Based on Capsule Network
Chinese Astronomy and Astrophysics, 2021Abstract The rapid development of large-scale sky survey project has produced a large amount of stellar spectral data, which make the automatic classification of stellar spectral data a challenging task. In this paper, we have proposed a stellar spectral classification method based on a capsule network.
XU Ting-ting +7 more
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Stellar Classification (Classification Stellaire)
1997This report rovers research in the field of stellar classification in the period July 1993 to June 1996. It is divided into several sections which were written by experts in each subfield. I want to thank them for their effort and cooperation. To conserve space, all references are given with only one name followed by a + sign if there are additional ...
C. Garmany +10 more
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Classification of stellar populations in globular clusters
Research in Astronomy and Astrophysics, 2017Possessing multiple stellar populations has been accepted as a common feature of globular clusters (GCs). Different stellar populations manifest themselves with different chemical features, e.g. the well-known O−Na anti-correlation. Generally, the first (primordial) population has O and Na abundances consistent with those of field stars with similar ...
Haining Li, Gang Zhao, Yue Wang
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Infrared Classification of Young Stellar Objects
1996The radiative transfer equation for a dusty envelope as close as possible to an embedded central source possesses scaling properties. For a given dust chemical composition, the solution depends only on overall optical depth and the functional form of the radial dust distribution.
Željko Ivezić, Moshe Elitzur
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Stellar spectra classification with twin hypersphere model
New Astronomy, 2021Abstract With the increase of stellar spectra, how to automatically classify these spectra have attracted astronomer's attention. Support Vector Machine (SVM), as a typical classifier, has widely used in stellar spectra classification. Due to its limited performance in various classification problems and higher training time, a model with a pair of ...
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Mixture of Experts for Stellar Data Classification
2005In this paper, mixture of experts model is first applied to stellar data classification. In order to obtain input patterns of mixture of experts model, we present a feature extraction method for stellar data based on wavelet packet transformation. Then a mixture of experts model is built for classifying the feature vectors.
Ping Guo, Yu-Gang Jiang
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Neural Network Classification of Stellar Spectra
1997We have developed an automated stellar spectral classifier using a feed-forward artificial neural network and principal components analysis for front-end data compression. This classifier has been developed to classify spectra in the two-parameter domain (spectral type and luminosity class) of the MK system.
Mike Irwin +2 more
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On the classification of phase mixing in collisionless stellar systems
Astronomical & Astrophysical Transactions, 1995Abstract A classification of various kinds of mixing in collisionless stellar systems is suggested. An increase of the quasi-entropy (i.e. a functional S* = ∫ C(f*)d 3rd 3v where f*(r, v) is the coarse-grained distribution function and C(f*) is an arbitrary convex function) is an unavoidable feature of any mixing.
V. A. Antonov +2 more
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Classification and Description of Stellar Spectra
1932To Joseph von Fraunhofer we are indebted for the first analyses of the spectra of fixed stars. Though he was concerned with the study of spectra primarily from the standpoint of an optician and maker of achromatic objectives, Fraunhofer’s truly scientific interest led him instinctively to record and describe new phenomena which came under his ...
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