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

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 <sup>2

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

Received 21 October 1996 / Accepted 18 December 1996

Abstract

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

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Contents

• 1. Introduction
• 2. The input data
  • 2.1. Spectroscopic observations
  • 2.2. Data selection and reduction
  • 2.3. Synthetic spectra
• 3. Determination of effective temperature () using ANN
  • 3.1. Methodology
  • 3.2. Application
  • 3.3. Comparison of results from two methods
• 4. Conclusion
• Acknowledgements
• References

© European Southern Observatory (ESO) 1997

Online publication: June 5, 1998

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