Stellar classification from simulated DIVA spectra. I. Solar metallicity stars
Open Astronomy, 1999 . The orbiting telescope with the Double Interferometer for Visual Astrometry (DIVA) will obtain, apart from astrometry, low-resolution spectra (A/AA ~ 20) covering the optical range (350 to 1000 nm) for over 10 million stars.
Elsner B. +3 more
doaj +2 more sources
Quantitative Stellar Classification with Low-Resolution Spectroscopy [PDF]
Proceedings of the International Astronomical Union, 2012 AbstractLow-resolution spectroscopy (R ≈ 1000) is used to efficiently characterize faint stars suspected to host planets. Stellar parameters, i.e. effective temperature, surface gravity, and metallicity can be assessed from these spectra by methods of quantitative classification.
Daniel Sebastian +2 more
openaire +3 more sources
Automated Stellar Classification for Large Surveys with EKF and RBF Neural Networks [PDF]
, 2005 An automated classification technique for large size stellar surveys is proposed. It uses the extended Kalman filter as a feature selector and pre-classifier of the data, and the radial basis function neural networks for the classification.
Ling Bai, Ping Guo, Zhanyi Hu
openalex +2 more sources
A Comparative Study of KBS, ANN and Statistical Clustering Techniques for Unattended Stellar Classification [PDF]
Iberoamerican Congress on Pattern Recognition, 2005 Carlos Dafonte +4 more
openalex +2 more sources
Automatic Extraction and Classification of Low-Dispersion Objective-Prism Stellar Spectra [PDF]
Open Astronomy, 2000 Bratsolis E. +5 more
doaj +4 more sources
Towards a Multi-Dimensional Stellar Classification System
Open Astronomy, 1997 Rui J. Agostinho +4 more
openaire +3 more sources
Gaia Data Release 3. Apsis. III. Non-stellar content and source classification [PDF]
Astronomy & Astrophysics, 2022 Context. As part of the third Gaia data release, we present the contributions of the non-stellar and classification modules from the eighth coordination unit (CU8) of the Data Processing and Analysis Consortium, which is responsible for the determination
L. Delchambre +80 more
semanticscholar +1 more source
The Classification of Stellar Spectra
The Astrophysical Journal, 1935 N. Russell +2 more
openaire +3 more sources
Machine learning based stellar classification with highly sparse photometry data. [PDF]
Open Res EurCody SE +5 more
europepmc +2 more sources
Mira variables in the Milky Way’s nuclear stellar disc: discovery and classification [PDF]
Monthly notices of the Royal Astronomical Society, 2022 The properties of the Milky Way’s nuclear stellar disc give crucial information on the epoch of bar formation. Mira variables are promising bright candidates to study the nuclear stellar disc, and through their period–age relation dissect its star ...
J. Sanders +5 more
semanticscholar +1 more source