Automated Classification of Sloan Digital Sky Survey SDSS Stellar Spectra using Artificial Neural Networks - AstrophysicsReportar como inadecuado




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Abstract: Automated techniques have been developed to automate the process ofclassification of objects or their analysis. The large datasets provided byupcoming spectroscopic surveys with dedicated telescopes urges scientists touse these automated techniques for analysis of such large datasets which arenow available to the community. Sloan Digital Sky Survey SDSS is one of suchsurveys releasing massive datasets. We use Probabilistic Neural Network PNNfor automatic classification of about 5000 SDSS spectra into 158 spectral typeof a reference library ranging from O type to M type stars.



Autor: Mahdi Bazarghan, Ranjan Gupta

Fuente: https://arxiv.org/







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