Results 1 to 10 of about 271,900 (341)
Classification of Stellar Spectra with LLE [PDF]
The Astronomical Journal, 142 (2011) 203, 2011 We investigate the use of dimensionality reduction techniques for the classification of stellar spectra selected from the SDSS. Using local linear embedding (LLE), a technique that preserves the local (and possibly non-linear) structure within high dimensional data sets, we show that the majority of stellar spectra can be represented as a one ...
Abazajian +15 more
arxiv +9 more sources
Automated Stellar Spectral Classification and Parameterization for the Masses [PDF]
arXiv, 2002 Stellar spectroscopic classification has been successfully automated by a number of groups. Automated classification and parameterization work best when applied to a homogeneous data set, and thus these techniques primarily have been developed for and applied to large surveys. While most ongoing large spectroscopic surveys target extragalactic objects,
Prieto, Carlos Allende +2 more
arxiv +8 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 +2 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
openalex +4 more sources
The Carnegie-Irvine Galaxy Survey. X. Bulges in Stellar Mass–based Scaling Relations [PDF]
The Astrophysical Journal Supplement Series, 2022 We measure optical colors for the bulges of 312 disk galaxies from the Carnegie-Irvine Galaxy Survey and convert their previously available R -band structural parameters to stellar-mass parameters.
Hua Gao, Luis C. Ho, Zhao-Yu Li
doaj +2 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
Machine Learning Techniques for Stellar Light Curve Classification [PDF]
The 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 MAST to classify according to ten distinct physical properties ...
Hinners, Trisha +2 more
core +7 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 +10 more
openalex +4 more sources
Kepler Input Catalog: Photometric Calibration and Stellar Classification [PDF]
The Astronomical Journal, 2011 We describe the photometric calibration and stellar classification methods used to produce the Kepler Input Catalog (KIC). The KIC is a catalog containing photometric and physical data for sources in the Kepler Mission field of view; it is used by the ...
+22 more
core +4 more sources