GALAH — Estrelas Extremamente Pobres em Metais

Em resumo

Usa ~600.000 espectros de alta resolução do GALAH + algoritmo de machine learning para encontrar 54 candidatos a estrelas extremamente pobres em metais (EMP, [Fe/H]<-3,0).

Hughes, Arvind C.~N. (1907)

Síntese

Usa ~600.000 espectros de alta resolução do GALAH + algoritmo de machine learning para encontrar 54 candidatos a estrelas extremamente pobres em metais (EMP, [Fe/H]<-3,0). Mostra que ML em grandes levantamentos espectroscópicos é poderoso para descoberta — direto ao tema de anomalias/detecção de raras.

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Citação

@ARTICLE{Hughes2022,
       author = {{Hughes}, Arvind C.~N. and {Spitler}, Lee R. and {Zucker}, Daniel B. and {Nordlander}, Thomas and {Simpson}, Jeffrey and {da Costa}, Gary S. and {Ting}, Yuan-Sen and {Li}, Chengyuan and {Bland-Hawthorn}, Joss and {Buder}, Sven and {Casey}, Andrew R. and {de Silva}, Gayandhi M. and {D'Orazi}, Valentina and {Freeman}, Ken C. and {Hayden}, Michael R. and {Kos}, Janez and {Lewis}, Geraint F. and {Lin}, Jane and {Lind}, Karin and {Martell}, Sarah L. and {Schlesinger}, Katharine J. and {Sharma}, Sanjib and {Zwitter}, Toma{\v{z}} and {GALAH Collaboration}},
        title = "{The GALAH Survey: A New Sample of Extremely Metal-poor Stars Using a Machine-learning Classification Algorithm}",
      journal = {\apj},
     keywords = {Galactic archaeology, Stellar abundances, Stellar classification, Classification, CEMP stars, Population II stars, Population III stars, Galaxy stellar content, High resolution spectroscopy, 2178, 1577, 1589, 1907, 2105, 1284, 1285, 621, 2096, Astrophysics - Astrophysics of Galaxies, Astrophysics - Solar and Stellar Astrophysics},
         year = 2022,
        month = may,
       volume = {930},
       number = {1},
          eid = {47},
        pages = {47},
          doi = {10.3847/1538-4357/ac5fa7},
archivePrefix = {arXiv},
       eprint = {2203.10843},
 primaryClass = {astro-ph.GA},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022ApJ...930...47H},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}