An artificial neural network approach for ranking quenching parameters in central galaxies Article

Teimoorinia, Hossen, Bluck, Asa FL, Ellison, Sara L. (2016). An artificial neural network approach for ranking quenching parameters in central galaxies . MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 457(2), 2086-2106. 10.1093/mnras/stw036

Open Access International Collaboration

cited authors

  • Teimoorinia, Hossen; Bluck, Asa FL; Ellison, Sara L

authors

publication date

  • April 1, 2016

published in

keywords

  • ACTIVE GALACTIC NUCLEI
  • Astronomy & Astrophysics
  • BULGE MASS
  • DIGITAL SKY SURVEY
  • HOST GALAXIES
  • LAMBDA-CDM
  • MOLECULAR GAS
  • Physical Sciences
  • SCALING RELATIONS
  • STAR-FORMATION RATES
  • STELLAR MASS
  • SUPERMASSIVE BLACK-HOLES
  • Science & Technology
  • galaxies: active
  • galaxies: evolution
  • galaxies: formation
  • galaxies: star formation
  • galaxies: statistics
  • methods: data analysis

Digital Object Identifier (DOI)

publisher

  • OXFORD UNIV PRESS

start page

  • 2086

end page

  • 2106

volume

  • 457

issue

  • 2