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National Instruments (Ireland)

Ireland

1 paper here12 citations across 1
fields
  • astro-ph.GA1
ROR 03b4j0710OpenAlex

affiliations via OpenAlex

most citedThe miniJPAS survey quasar selection II: Machine learning classification with photometric measurements and uncertainties

12 citations

researchers with a paper here
  • A. Ederoclite1
  • A. Hernán-Caballero1
  • A. J. Cenarro1
  • A. Marín-Franch1
  • C. López-Sanjuán1
  • C. Mendes de Oliveira1
  • G. Martínez-Solaeche1
  • Ignasi Pérez-Ràfols1
  • I. Márquez1
  • J. Chaves-Montero1
  • J. Varela1
  • Keith Taylor1
collaborating institutions
  • Aix-Marseille UniversitéFR1 paper
  • Centre National de la Recherche ScientifiqueFR1 paper
  • Centro de Estudios de Física del Cosmos de AragónES1 paper
  • Donostia International Physics CenterES1 paper
  • IkerbasqueES1 paper
  • Institute for Fundamental Physics of the UniverseIT1 paper
  • Institute for High Energy PhysicsES1 paper
  • Institut National de Physique Nucléaire et de Physique des ParticulesFR1 paper
  • Instituto de Astrofísica de AndalucíaES1 paper
  • Instituto de Geofísica y AstronomíaCU1 paper
  • Laboratoire de Physique Nucléaire et de Hautes ÉnergiesFR1 paper
  • National ObservatoryBR1 paper

1 paper

astro-ph.GA2023★ 12 cited

The miniJPAS survey quasar selection II: Machine learning classification with photometric measurements and uncertainties

Natália V. N. Rodrigues, L. Raul Abramo, Carolina Queiroz +23

Astrophysical surveys rely heavily on the classification of sources as stars, galaxies or quasars from multi-band photometry. Surveys in narrow-band filters allow for greater discr…

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