Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/3241
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGulati, R. K-
dc.contributor.authorGupta, R-
dc.contributor.authorKameswara Rao, N-
dc.date.accessioned2008-08-22T10:09:43Z-
dc.date.available2008-08-22T10:09:43Z-
dc.date.issued1997-06-
dc.identifier.citationAstronomy and Astrophysics , Vol. 322, No. 3, pp. 933 - 937en
dc.identifier.issn0004-6361-
dc.identifier.urihttp://hdl.handle.net/2248/3241-
dc.description.abstractA 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.extent164455 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherEuropean Southern Observatoryen
dc.relation.urihttp://aa.springer.de/bibs/7322003/2300933/small.htmen
dc.subjectStars: Generalen
dc.subjectAtmospheresen
dc.subjectFundamental Parametersen
dc.subjectMethods: Statisticalen
dc.titleA comparison of synthetic and observed spectra for G-K dwarfs using artificial neural networksen
dc.typeArticleen
Appears in Collections:IIAP Publications



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.