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55 papers
The miniJPAS & J-NEP surveys: Identification and characterization of the Ly Emitter population and the Ly Luminosity Function
Alberto Torralba-Torregrosa, Siddhartha Gurung-López, Pablo Arnalte-Mur +27
We present the Lyman- (Lya) Luminosity Function (LF) at , estimated from a sample of 67 Lya-emitter (LAE) candidates in the J-PAS Pathfinder surveys: miniJPAS and J…
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…
The miniJPAS Survey: Detection of double-core Lyα morphology of two high-redshift (z>3) QSOs
P. T. Rahna, Zhen-Ya Zheng, Ana L. Chies-Santos +30
The Ly emission is an important tracer of neutral gas in a circum-galactic medium (CGM) around high-z QSOs. The origin of Lya emission around QSOs is still under debate which ha…
The miniJPAS survey: Identification and characterization of the emission line galaxies down to in the AEGIS field
G. Martínez-Solaeche, R. M. González Delgado, R. García-Benito +28
The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) is expected to map thousands of square degrees of the northern sky with 56 narrowband filters in th…
The miniJPAS survey: White dwarf science with 56 optical filters
C. López-Sanjuan, P. -E. Tremblay, A. Ederoclite +21
We analyze the white dwarf population in miniJPAS, the first square degree observed with 56 medium-band, 145 A in width optical filters by the Javalambre Physics of the acceleratin…
The miniJPAS survey quasar selection I: Mock catalogues for classification
Carolina Queiroz, L. Raul Abramo, Natália V. N. Rodrigues +27
In this series of papers, we employ several machine learning (ML) methods to classify the point-like sources from the miniJPAS catalogue, and identify quasar candidates. Since no r…