Application of a neural network classifier for the generation of clean small magellanic cloud stellar samples

HIGHLIGHTS

• who: Jimu00e9nez-Arranz u00d3. and colleagues from the (FQA), Universitat Barcelona (UB), C Martu00ed Franquu00e8s, , Barcelona, Spain have published the article: Application of a neural network classifier for the generation of clean Small Magellanic Cloud stellar samples, in the Journal: (JOURNAL)
• what: The authors aim to develop statistical classification technique to effectively separate the SMC stars from the MW stars using wider set of Gaia data. The authors aim to reduce the possible contamination from MW stars compared to previous strategies. The authors provide three selections of SMC star samples with different degrees of purity . . .
  

   

  

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