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A comparison of synthetic and observed spectra for G-K dwarfs using artificial neural networks *
Received 21 October 1996 / Accepted 18 December 1996
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 (1994) 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.
Key words: stars: general; atmospheres; fundamental parameters methods: statistical
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© European Southern Observatory (ESO) 1997
Online publication: June 5, 1998