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2017MNRAS.470.3395H - Mon. Not. R. Astron. Soc., 470, 3395-3416 (2017/September-3)
Using an artificial neural network to classify multicomponent emission lines with integral field spectroscopy from SAMI and S7.
HAMPTON E.J., MEDLING A.M., GROVES B., KEWLEY L., DOPITA M., DAVIES R., HO I.-T., KAASINEN M., LESLIE S., SHARP R., SWEET S.M., THOMAS A.D., ALLEN J., BLAND-HAWTHORN J., BROUGH S., BRYANT J.J., CROOM S., GOODWIN M., GREEN A., KONSTANTANTOPOULOS I.S., LAWRENCE J., LOPEZ-SANCHEZ A.R., LORENTE N.P.F., McELROY R., OWERS M.S., RICHARDS S.N. and SHASTRI P.
Abstract (from CDS):
Abstract Copyright: © 2017 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society
Journal keyword(s): methods: data analysis - techniques: imaging spectroscopy - techniques: spectroscopic - galaxies: general - galaxies: kinematics and dynamics - galaxies: kinematics and dynamics
Simbad objects: 3
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