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Application of random forest to stellar spectral classification
2010 3rd International Congress on Image and Signal Processing, 2010Classifying stellar spectra is an important work in astronomy. Numerous automated classification techniques have been explored for spectra data classification. But achieving high accuracy of spectral classification is still a goal of study. Random Forest is a recently available ensemble learning algorithm.
Jingchang Pan, Zhenping Yi
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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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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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UV Stellar Spectral Classification
1987Stellar observers in the ultraviolet tend to use the MK classification system as a spectral reference also in this spectral range, implying that it characterizes the whole spectrum, even if it is defined only from the visible range. However, an analysis of about two thousand spectra collected by the S2/68 experiment on board the TD1 satellite showed ...
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Automated classification of stellar spectra
2020Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: Josep Maria Solanes ...
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Cooperative AI Techniques for Stellar Spectra Classification
2006This chapter describes a hybrid approach to the unattended classification of low-resolution 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,
Alejandra Rodriguez +4 more
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A Stratified Approach for Automatic Stellar Spectra Classification
2008 Congress on Image and Signal Processing, 2008In this paper we present an automatic stellar spectra classification system to achieve two goals: one is the main-class and subclass classification, the other is luminosity type recognition. The system is composed of 3 functional units, namely main-class and subclass classification, continuum spectra normalization, luminosity type determination.
J. N. Zhang, L. P. Tu, A-Li Luo
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Classification of stellar spectra with SVM based on within-class scatter and between-class scatter
Astrophysics and Space Science, 2018Zhong-bao Liu +4 more
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The Staging of Cancer: A Retrospective and Prospective Appraisal
Ca-A Cancer Journal for Clinicians, 2008Hong Liu
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