2023MNRAS.520.3476Q

Query : 2023MNRAS.520.3476Q

2023MNRAS.520.3476Q - Mon. Not. R. Astron. Soc., 520, 3476-3493 (2023/April-2)

The miniJPAS survey quasar selection - I. Mock catalogues for classification.

QUEIROZ C., ABRAMO L.R., RODRIGUES N.V.N., PEREZ-RAFOLS I., MARTINEZ-SOLAECHE G., HERNAN-CABALLERO A., HERNANDEZ-MONTEAGUDO C., LUMBRERAS-CALLE A., PIERI M.M., MORRISON S.S., BONOLI S., CHAVES-MONTERO J., CHIES-SANTOS A.L., DIAZ-GARCIA L.A., FERNANDEZ-SOTO A., GONZALEZ DELGADO R.M., ALCANIZ J., BENITEZ N., CENARRO A.J., CIVERA T., DUPKE R.A., EDEROCLITE A., LOPEZ-SANJUAN C., MARIN-FRANCH A., MENDES DE OLIVEIRA C., MOLES M., MUNIESA D., SODRE L. Jr, TAYLOR K., VARELA J. and VAZQUEZ RAMIO H.

Abstract (from CDS):

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 representative sample of spectroscopically confirmed sources exists at present to train these ML algorithms, we rely on mock catalogues. In this first paper, we develop a pipeline to compute synthetic photometry of quasars, galaxies, and stars using spectra of objects targeted as quasars in the Sloan Digital Sky Survey. To match the same depths and signal-to-noise ratio distributions in all bands expected for miniJPAS point sources in the range 17.5 ≤ r < 24, we augment our sample of available spectra by shifting the original r-band magnitude distributions towards the faint end, ensure that the relative incidence rates of the different objects are distributed according to their respective luminosity functions, and perform a thorough modelling of the noise distribution in each filter, by sampling the flux variance either from Gaussian realizations with given widths, or from combinations of Gaussian functions. Finally, we also add in the mocks the patterns of non-detections which are present in all real observations. Although the mock catalogues presented in this work are a first step towards simulated data sets that match the properties of the miniJPAS observations, these mocks can be adapted to serve the purposes of other photometric surveys.

Journal keyword(s): methods: data analysis - techniques: photometric - catalogues - surveys - quasars: general

Status at CDS : Large table(s) will be appraised for possible ingestion in VizieR.

Simbad objects: 1

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Number of rows : 1

N	Identifier	Otype	ICRS (J2000) RA	ICRS (J2000) DEC	Mag U	Mag B	Mag V	Mag R	Mag I	Sp type	#ref 1850 - 2026	#notes
1	NAME Extended Groth Strip	reg	14 19	+52.8						~	1023	0

Query : 2023MNRAS.520.3476Q

Basic data :

NAME Extended Groth Strip -- Region defined in the Sky
Other object types:	`reg ()`
ICRS coord. (ep=J2000) :	`14 19 00.0 +52 48 00 [ ] E ~`
FK4 coord. (ep=B1950 eq=1950) :	`14 17 16.3 +53 01 45 [ ]`
Gal coord. (ep=J2000) :	`096.4814 +59.5977 [ ]`

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NAME EGS NAME Extended Groth Strip

References (1023 between 1850 and 2026) (Total 1023)
Simbad bibliographic survey began in 1850 for stars (at least bright stars) and in 1983 for all other objects (outside the solar system).

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