Unsupervised classification of cigale galaxy spectra

HIGHLIGHTS

  • who: Dubois J. and collaborators from the UnivGrenoble Alpes, CNRS, IPAG, Grenoble, France have published the research work: Unsupervised classification of CIGALE galaxy spectra, in the Journal: (JOURNAL)
  • what: The authors investigate the capacity of this algorithm to segregate the physical parameters used to generate mock spectra and the influence of the noise on the classification. The authors aim at bringing some insight into the power and limitation of the use of the algorithm Fisher-EM on a simple mock sample of spectra. In Sect 4 the authors describe the classifications obtained on the noiseless . . .

     

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