Prediction of spectral classification from photometric observations - Application of the UVBY beta photometry and the MK spectra classification. II - General case

Details Prediction of spectral classification from photometric observations - Application of the UVBY beta photometry and the MK spectra classification. II - General case Prediction of spectral classification from photometric observations - Application of the UVBY beta photometry and the MK spectra classification. II - General case

May 1980

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1980a%26a....85...93m&link_type=abstract

Astronomy and Astrophysics, vol. 85, no. 1-2, May 1980, p. 93-100.

Astronomy and Astrophysics

Astrophysics

6

Astronomical Photometry, Prediction Analysis Techniques, Stellar Spectrophotometry, Ubv Spectra, Covariance, Stellar Luminosity

Scientific paper

This paper deals with the generalization of an algorithm to predict the spectral classification from photometric data, the particular case considered being that of the MK spectral classification and the uvbyβ photometry. The precision reached is about 80% and 87% chance of being within one spectral subtype respectively for luminosity groups I, III, and IV, and for luminosity group V. The prediction of the luminosity group gives respectively 44%, 28%, 45%, and 56% of being in the correct group. This poor performance suggests that the uvbyβ photometry is unable to distinguish luminosity classes clearly. A list of stars for which discrepancies appear between photometry and spectral classification is given.

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