Results 21 to 30 of about 2,699,264 (331)
TESS Data for Asteroseismology (T’DA) Stellar Variability Classification Pipeline: Setup and Application to the Kepler Q9 Data [PDF]
Astronomical Journal, 2021 The NASA Transiting Exoplanet Survey Satellite (TESS) is observing tens of millions of stars with time spans ranging from ∼27 days to about 1 yr of continuous observations.
J. Audenaert +18 more
semanticscholar +1 more source
Stellar Classification based on Various Star Characteristics using Machine Learning Algorithms
Journal of student-scientists' research, 2023 The task of stellar classification can be tedious and lengthy when done manually. One can expedite stellar classification by creating an artificial intelligence model to automate the process.
Jesus Tamez Villarreal, S. Barton
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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 +2 more sources
On the use of logistic regression for stellar classification [PDF]
Experimental astronomy (Print), 2018 We are totally immersed in the Big Data era and reliable algorithms and methods for data classification are instrumental for astronomical research. Random Forest and Support Vector Machines algorithms have become popular over the last few years and they ...
L. Beitia-Antero +2 more
semanticscholar +1 more source
45. Stellar Classification [PDF]
Transactions 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
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Stellar classification from single-band imaging using machine learning [PDF]
, 2016 Information on the spectral types of stars is of great interest in view of the exploitation of space-based imaging surveys. In this article, we investigate the classification of stars into spectral types using only the shape of their diffraction pattern ...
T. Kuntzer, M. Tewes, F. Courbin
semanticscholar +1 more source
Mass classification of dark matter perturbers of stellar tidal streams [PDF]
Physics of the Dark Universe, 2020 Stellar streams formed by tidal stripping of progenitors orbiting around theMilkyWay are expected to be perturbed by encounters with dark matter subhalos.
Francesco Montanari, J. Garc'ia-Bellido
semanticscholar +1 more source
The Nature of Blue Stars with Mid-infrared Excesses in the Large Magellanic Cloud
The Astrophysical Journal Supplement Series, 2023 We present low-resolution optical spectra and classifications of 92 blue objects with mid-infrared excesses in the Large Magellanic Cloud. The majority of these objects were selected with the criteria of U − B < 0 and V < 17 from the potential young ...
Ryoko Ishioka +5 more
doaj +1 more source