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Astron. Astrophys. 322, 933-937 (1997)

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

R.K. Gulati 1, Ranjan Gupta 1 and N.K. Rao 2

1 IUCAA, Post Bag 4, Ganeshkhind, Pune-411007, India
2 IIA, Kormangala, Bangalore-560034, India

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

* Based on observations using Vainu Bappu Telescope, VBO, Kavalur, India.

Send offprint requests to: R.K. Gulati

© European Southern Observatory (ESO) 1997

Online publication: June 5, 1998