Results 1 to 10 of about 1,941,056 (293)

Stellar Classification with Vision Transformer and SDSS Photometric Images

open access: yesUniverse
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   +4 more sources

Machine learning based stellar classification with highly sparse photometry data [version 2; peer review: 2 approved, 1 approved with reservations] [PDF]

open access: yesOpen Research Europe
Background 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   +2 more sources

Stellar Classification by Machine Learning [PDF]

open access: yesSHS 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   +2 more sources

Galaxy morphology classification: are stellar circularities enough? [PDF]

open access: yesSerbian Astronomical Journal
We 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   +3 more sources

Beyond Spectroscopy. II. Stellar Parameters for over 20 Million Stars in the Northern Sky from SAGES DR1 and Gaia DR3

open access: yesThe 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
doaj   +1 more source

Automated Stellar Spectra Classification with Ensemble Convolutional Neural Network

open access: yesAdvances 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   +1 more source

COMMISSION 45: STELLAR CLASSIFICATION [PDF]

open access: yesProceedings 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   +2 more sources

BCD Spectrophotometry and Rotation of Active B-Type Stars: Theory and Observations

open access: yesGalaxies, 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
doaj   +1 more source

45. Stellar Classification [PDF]

open access: yesTransactions of the International Astronomical Union, 1985
During the report period (1982–1984) several symposia, colloquia, and workshops in the field of stellar classification were held. These include: IAU Symposium No. 111 ”Calibration of Fundamental Stellar Quantities” (Como, May 24 29, 1984, ed. D. S. Hayes et al.), IAU Colloquium No.
V. Straižys   +8 more
openaire   +1 more source

“In-System” Fission-Events: An Insight into Puzzles of Exoplanets and Stars?

open access: yesUniverse, 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
doaj   +1 more source

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