Prediction of spectral classification from photometric observations-application to the UVBY beta photometry and the MK spectral classification. I - Prediction assuming a luminosity class

Details Prediction of spectral classification from photometric observations-application to the UVBY beta photometry and the MK spectral classification. I - Prediction assuming a luminosity class Prediction of spectral classification from photometric observations-application to the UVBY beta photometry and the MK spectral classification. I - Prediction assuming a luminosity class

Mar 1980

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1980a%26a....83..287h&link_type=abstract

Astronomy and Astrophysics, vol. 83, no. 3, Mar. 1980, p. 287-296.

Astronomy and Astrophysics

Astrophysics

6

Classifications, Stellar Luminosity, Stellar Spectra, Stellar Spectrophotometry, Ubv Spectra, Algorithms, Data Processing, Prediction Analysis Techniques

Scientific paper

An algorithm based on multiple stepwise and isotonic regressions is developed for the prediction of spectral classification from photometric data. The prediction assumes a luminosity class with reference to uvbybeta photometry and the MK spectral classification. The precision attained is about 90 percent and 80 percent probability of being within one spectral subtype respectively for luminosity groups I and V and for luminosity groups III and IV. A list of stars for which discrepancies appear between photometry and spectral classification is given.

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