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Process Instruments (United States)

United States

1 paper here1 citations across 1
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  • astro-ph.IM1
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most citedThe miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation

1 citations

researchers with a paper here
  • A. Ederoclite1 · h 20
  • A. Hern'an-Caballero1 · h 12
  • A. Marín-Franch1 · h 2
  • Ana Paula Jeakel1 · h 0
  • C. Hern'andez-Monteagudo1 · h 59
  • C. L. Mendes de Oliveira1 · h 9
  • C. López-Sanjuan1 · h 17
  • C. Willmer1 · h 76
  • D. Crist'obal-Hornillos1 · h 2
  • F. Roig1 · h 1
  • Gabriel Vieira dos Santos1 · h 0
  • H. Vázquez Ramió1 · h 8
collaborating institutions
  • Centro de Estudios de Física del Cosmos de AragónES1 paper
  • Chinese Academy of SciencesCN1 paper
  • Donostia International Physics CenterES1 paper
  • Institute for Fundamental Physics of the UniverseIT1 paper
  • Instituto de Astrofísica de AndalucíaES1 paper
  • Instituto de Astrofísica de CanariasES1 paper
  • Instituto de Geofísica y AstronomíaCU1 paper
  • National Astronomical ObservatoriesCN1 paper
  • National ObservatoryBR1 paper
  • Parc Científic de la Universitat de ValènciaES1 paper
  • Trieste Astronomical ObservatoryIT1 paper
  • Universidade de São PauloBR1 paper

1 paper

astro-ph.IM2025★ 1 cited

The miniJPAS and J-NEP surveys: Machine learning for star-galaxy separation

Ana Paula Jeakel, Gabriel Vieira dos Santos, Valerio Marra +27

We present a supervised machine learning classification of sources from the Javalambre Physics of the Accelerating Universe Astrophysical Survey (J-PAS) Pathfinder datasets: miniJP…

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