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Stellar Classification by Machine Learning [PDF]

SHS Web of Conferences, 2022
As an emerging subject with strong comprehensiveness, machine learning has made varying degrees of progress in various fields. In the field of astronomy, it has also been generally used, and there have been quantities of research using machine learning ...
Qi Zhuliang
doaj   +3 more sources

Machine learning based stellar classification with highly sparse photometry data. [PDF]

Open Res Eur
Background Identifying stars belonging to different classes is vital in order to build up statistical samples of different phases and pathways of stellar evolution.
Cody SE, Scher S, McDonald I, Zijlstra A, Alexander E, Cox N.   +5 more
europepmc   +4 more sources

Notes on Stellar Classification [PDF]

Nature, 1915
Norman Lockyer
semanticscholar   +12 more sources

45. Stellar Classification [PDF]

Transactions of the International Astronomical Union, 1982
The years covered in this report (1979-81) have been active ones in the field of stellar classification, as is made obvious in the following sections. In addition to the individual references listed there, a number of symposia, colloquia, and workshops were held during the report period which included papers relevant to stellar classification.
Arne Slettebak
semanticscholar   +5 more sources

COMMISSION 45: STELLAR CLASSIFICATION [PDF]

Proceedings of the International Astronomical Union, 2007
The Business Meeting of Commission 45 was held on 16 August 2006. It was attended by the president and vice-president of the Commission as well as by twenty other members of the Commission. Attendance was limited, as usual, by the unavoidable occurrence of parallel sessions.
C. J. Corbally, Sunetra Giridhar, Thomas H. Evans, Coryn A. L. Bailer‐Jones, R. M. Humphreys, J. Davy Kirkpatrick, X. Luri, D. Minniti, Laura E. Pasinetti, Vytautas P. Straižys, W. W. Weiß   +10 more
semanticscholar   +5 more sources

Automated Stellar Spectra Classification with Ensemble Convolutional Neural Network

Advances in Astronomy, 2022
Large sky survey telescopes have produced a tremendous amount of astronomical data, including spectra. Machine learning methods must be employed to automatically process the spectral data obtained by these telescopes. Classification of stellar spectra by
Zhuang Zhao, Jiyu Wei, Bin Jiang
doaj   +2 more sources

Stellar classification of CoRoT targets [PDF]

Astronomy & Astrophysics, 2016
24 pages, 30 figures, accepted for publication in A& ...
C. Moutou, Magali Deleuil, C. Meunier, Frédéric Baudin, Hans J. Deeg, Hans J. Deeg, J. C. Meunier, Nathalie Ysard, Cilia Damiani   +8 more
openaire   +6 more sources

CLASSIFICATION OF STELLAR SPECTRA WITH LOCAL LINEAR EMBEDDING [PDF]

The Astronomical Journal, 2011
15 pages, 13 figures; accepted for publication in The Astronomical ...
Scott F. Daniel, Andrew J. Connolly, Jeff Schneider, Jake Vanderplas, Liang Xiong   +4 more
openalex   +6 more sources

Solar stellar and substellar environment. II. Classification and determination of main characteristics [PDF]

Вісник Астрономічної школи, 2012
The problem of classification of celestial bodies of the Galaxy which takes into account the astrophysical and cosmogonic criteria is discussed. The main ideas and arguments of the stellar, substellar and planetary minimum mass calculation are considered.
V. A. Zakhozhay, M. O. Babenko
doaj   +2 more sources

Stellar Classification with Vision Transformer and SDSS Photometric Images

Universe
With the development of large-scale sky surveys, an increasing number of stellar photometric images have been obtained. However, most stars lack spectroscopic data, which hinders stellar classification.
Yi Yang, Xin Li
doaj   +2 more sources