Results 11 to 20 of about 71,994 (275)
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
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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
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Information–Entropy Analysis of Stellar Evolutionary Stages with Application to FS CMa Objects [PDF]
EntropyTheoretical foundations are presented for the application of information–entropy methods from statistical physics to the determination of stellar evolutionary stages. A balance equation involving normalized conditional information and entropy is proposed.
Zeinulla Zhanabaev +2 more
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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
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Classification of Stellar Spectra with LLE
, 2011 15 pages, 13 figures; accepted for publication in The Astronomical ...
Daniel, Scott F. +4 more
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The Astrophysical Journal, 2023 We present precise photometric estimates of stellar parameters, including effective temperature, metallicity, luminosity classification, distance, and stellar age, for nearly 26 million stars using the methodology developed in the first paper of this ...
Yang Huang +20 more
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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
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BCD Spectrophotometry and Rotation of Active B-Type Stars: Theory and Observations
Galaxies, 2023 This review has two parts. The first one is devoted to the Barbier–Chalonge–Divan (BCD) spectrophotometric system, also known as the Paris spectral classification system.
Juan Zorec
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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
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“In-System” Fission-Events: An Insight into Puzzles of Exoplanets and Stars?
Universe, 2021 In expansion of our recent proposal that the solar system’s evolution occurred in two stages—during the first stage, the gaseous giants formed (via disk instability), and, during the second stage (caused by an encounter with a particular stellar-object ...
Elizabeth P. Tito, Vadim I. Pavlov
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