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

dc.contributor.author	Gulati, R. K
dc.contributor.author	Gupta, R
dc.contributor.author	Kameswara Rao, N
dc.date.accessioned	2008-08-22T10:09:43Z
dc.date.available	2008-08-22T10:09:43Z
dc.date.issued	1997-06
dc.identifier.citation	Astronomy and Astrophysics , Vol. 322, No. 3, pp. 933 - 937	en
dc.identifier.issn	0004-6361
dc.identifier.uri	http://hdl.handle.net/2248/3241
dc.description.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.	en
dc.format.extent	164455 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en	en
dc.publisher	European Southern Observatory	en
dc.relation.uri	http://aa.springer.de/bibs/7322003/2300933/small.htm	en
dc.subject	Stars: General	en
dc.subject	Atmospheres	en
dc.subject	Fundamental Parameters	en
dc.subject	Methods: Statistical	en
dc.title	A comparison of synthetic and observed spectra for G-K dwarfs using artificial neural networks	en
dc.type	Article	en