Automatic spectral classification of stellar spectra with low signal-to-noise ratio using artificial neural networks

Astronomy and Astrophysics

Volumn 538, Issue , 2012, Pages

  Navarro, S G ^a,b   Corradi, R L M ^b,c   Mampaso, A ^b,c  

^a INSTITUTO DE ASTRONOMÍA Y METEOROLOGÍA   (Mexico)

^b INSTITUTO DE ASTROFÍSICA DE CANARIAS   (Spain)

^c UNIVERSIDAD DE LA LAGUNA   (Spain)

Author keywords

Astronomical databases: miscellaneous; Methods: data analysis; Planetary nebulae: general

Indexed keywords

ASTRONOMICAL DATABASES: MISCELLANEOUS; EMISSION LINES; LOW SIGNAL-TO-NOISE RATIO; LOWER PRECISION; LUMINOSITY CLASS; METHODS: DATA ANALYSIS; PLANETARY NEBULAE; PLANETARY NEBULAE: GENERAL; SIGNAL TO NOISE; SPECTRAL CLASSIFICATION; SPECTRAL LINE; SPECTRAL TYPES; STELLAR SPECTRA; VALIDATION PROCESS;

IMAGE CLASSIFICATION; LUMINANCE; NEURAL NETWORKS; SIGNAL TO NOISE RATIO;

STARS;

EID: 84856700246     PISSN: 00046361     EISSN: 14320746     Source Type: Journal    
DOI: 10.1051/0004-6361/201016422     Document Type: Article

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