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Stellar Classification vis-à-vis Convolutional Neural Network
2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), 2023As a result of recent advancements in technology, a variety of new computational fields have emerged. Some examples of these fields are machine learning and intelligence, information science, the internet of things, and others.
Anurag Dutta +5 more
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Experimental Analysis of Stellar Classification by using Different Machine Learning Algorithms
2022 International Conference on Industry 4.0 Technology (I4Tech), 2022In advanced Astrophysics, Machine Learning has progressively attained popularity with its astounding powerful potential to analyze large amounts of data and make accurate predictions. The categorization of stars is based on their spectral features, known
Tanvi Mehta, Nishi Bhuta, S. Shinde
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Stellar Objects Classification Using Supervised Machine Learning Techniques
Automation, Control, and Information Technology, 2022Machine Learning is used in many fields of study. This paper used machine learning to classify instances from the Sloan Digital Sky Survey Data Release 17 (SDSS DR17) as a galaxy, quasar, or star.
Deen Omat, Jood Otey, Amjed Al-mousa
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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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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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Classification of Stars using Stellar Spectra collected by the Sloan Digital Sky Survey
IEEE International Joint Conference on Neural Network, 2019The classification of stellar spectra is a fundamental task in stellar astrophysics. There have been many explorations into the automated classification of stellar spectra but few that involve the Sloan Digital Sky Survey (SDSS).
Michael J. Brice, Razvan Andonie
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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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