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

Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/3241

Title:	A comparison of synthetic and observed spectra for G-K dwarfs using artificial neural networks
Authors:	Gulati, R. K Gupta, R Kameswara Rao, N
Keywords:	Stars: General Atmospheres Fundamental Parameters Methods: Statistical
Issue Date:	Jun-1997
Publisher:	European Southern Observatory
Citation:	Astronomy and Astrophysics , Vol. 322, No. 3, pp. 933 - 937
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 (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.
URI:	http://hdl.handle.net/2248/3241
ISSN:	0004-6361
Appears in Collections:	IIAP Publications

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