Corral Luis J.
Contact
- Position:
- Instituto de Astronomía y Meteorología, Universidad de Guadalajara
- Address
- Mexico
Miscellaneous Information
- Miscellaneous Information
-
Abstract Reference: 30341
Identifier: P1.10
Presentation: Poster presentation
Key Theme: 1 Reduction and Analysis Algorithms for Large Databases and Vice-versa
Effect of the signal to noise ratio on the accuracy of the automatic spectral classification of stellar spectraAuthors:
Corral Luis J., Navarro Silvana G., Villavicencio EdgarThe signal to noise ratio (S/N) is an important parameter that greatly affect the accuracy of the automatic spectral classification. We present the analysis made over the automatic spectral classification of stellar spectra with different levels of S/N. We trained specialized neural networks with spectra at different S/N levels in order to minimize such effect and present here the quantitative analysis of the accuracy in the spectral classification.
