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Machine learning based stellar classification with highly sparse photometry data [version 2; peer review: 2 approved, 1 approved with reservations] [PDF]
Open Research EuropeBackground Identifying stars belonging to different classes is vital in order to build up statistical samples of different phases and pathways of stellar evolution.
Sebastian Scher +5 more
doaj +4 more sources
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 Techniques for Stellar Light Curve Classification [PDF]
Astronomical Journal, 2018 We apply machine learning techniques in an attempt to predict and classify stellar properties from noisy and sparse time-series data. We preprocessed over 94 GB of Kepler light curves from the Mikulski Archive for Space Telescopes (MAST) to classify ...
Trisha A. Hinners +2 more
semanticscholar +7 more sources
Galaxy morphology classification: are stellar circularities enough? [PDF]
Serbian Astronomical JournalWe present a preliminary study exploring whether the stellar orbital circularity of simulated galaxies, available from precomputed catalogs in the IllustrisTNG project, can be used as a proxy for a broad morphological classification. We focus on
Baucalo Katarina, Mitrašinović Ana
doaj +7 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 with Vision Transformer and SDSS Photometric Images
UniverseWith 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
Application of convolutional neural networks for stellar spectral classification [PDF]
Monthly notices of the Royal Astronomical Society, 2019 Due to the ever-expanding volume of observed spectroscopic data from surveys such as SDSS and LAMOST, it has become important to apply artificial intelligence (AI) techniques for analysing stellar spectra to solve spectral classification and regression
Kaushal Kumar Sharma +5 more
openalex +3 more sources
COMMISSION 45: STELLAR CLASSIFICATION [PDF]
Proceedings of the International Astronomical Union, 2005 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.
Corbally, Christopher +10 more
openaire +3 more sources
Stellar classification of CoRoT targets [PDF]
Astronomy & Astrophysics, 2016 24 pages, 30 figures, accepted for publication in A& ...
Damiani, C. +7 more
openaire +5 more sources