Prediction of Spectral and Luminosity Classes from Spectral Indices with Artificial Neural Networks

Details Prediction of Spectral and Luminosity Classes from Spectral Indices with Artificial Neural Networks Prediction of Spectral and Luminosity Classes from Spectral Indices with Artificial Neural Networks

Sep 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000ap%26ss.273...73g&link_type=abstract

Astrophysics and Space Science, v. 273, Issue 1/4, p. 73-81 (2000).

Astronomy and Astrophysics

Astrophysics

1

Scientific paper

This paper deals with the application of artificial neural networks to predict the spectral types and luminosity classes from spectral indices. The precision reached in predicting spectral classes is 2-subclasses for 90% of the test stars. The success rate in prediction of luminosity classes is more than 90\% for the classes III and V. The results provide a new method to predict spectral and luminosity classes from the spectral indices, which will be useful when data from large survey like 2dF and Sloan Digital Sky Survey will come into effect.

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