A comparison of synthetic and observed spectra for G-K dwarfs using artificial neural networks.

Details A comparison of synthetic and observed spectra for G-K dwarfs using artificial neural networks. A comparison of synthetic and observed spectra for G-K dwarfs using artificial neural networks.

Jun 1997

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997a%26a...322..933g&link_type=abstract

Astronomy and Astrophysics, v.322, p.933-937

Astronomy and Astrophysics

Astrophysics

13

Stars: General, Atmospheres, Fundamental Parameters, Methods: Statistical

Scientific paper

A library of synthetic spectra, based on Kurucz model atmospheres, has been used to compare the spectroscopic observations in the wavelength range 4850-5384 Å by using statistical and supervised artificial neural network methods. The effective temperatures assigned by these methods for G-K dwarfs are compared with those given in Gray and Corbally (1994AJ....107..742G) and found to be closely matching their calibration curve. This result provides a promising new technique for determination of fundamental stellar atmospheric parameters on the basis of comparison between the model generated synthetic spectra and observed stellar spectra.

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