The miniJPAS survey

Abstract

The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) is a photometric survey that is poised to scan several thousands of square degrees of the sky. It will use 54 narrow-band filters, combining the benefits of low-resolution spectra and photometry. Its offshoot, miniJPAS, is a 1 deg 2 survey that uses J-PAS filter system with the Pathfinder camera. In this work, we study mJPC2470-1771, the most massive cluster detected in miniJPAS. We survey the stellar population properties of the members, their star formation rates (SFR), star formation histories (SFH), the emission line galaxy (ELG) population, spatial distribution of these properties, and the ensuing effects of the environment. This work shows the power of J-PAS to study the role of environment in galaxy evolution. We used a spectral energy distribution (SED) fitting code to derive the stellar population properties of the galaxy members: stellar mass, extinction, metallicity, (u − r) res and (u − r) int colours, mass-weighted age, the SFH that is parametrised by a delayed-τ model (τ, t 0 ), and SFRs. We used artificial neural networks for the identification of the ELG population via the detection of the Hα, [NII], Hβ, and [OIII] nebular emission. We used the Ew(Hα)-[NII] (WHAN) and [OIII]/Hα-[NII]/Hα (BPT) diagrams to separate them into individual star-forming galaxies and AGNs. We find that the fraction of red galaxies increases with the cluster-centric radius; and at 0.5 R 200 the red and blue fractions are both equal. The redder, more metallic, and more massive galaxies tend to be inside the central part of the cluster, whereas blue, less metallic, and less massive galaxies are mainly located outside of the inner 0.5 R 200 . We selected 49 ELG, with 65.3 % of the them likely to be star-forming galaxies, dominated by blue galaxies, and 24 % likely to have an AGN (Seyfert or LINER galaxies). The rest are difficult to classify and are most likely composite galaxies. These latter galaxies are red, and their abundance decreases with the cluster-centric radius; in contrast, the fraction of star-forming galaxies increases outwards up to R 200 . Our results are compatible with an scenario in which galaxy members were formed roughly at the same epoch, but blue galaxies have had more recent star formation episodes, and they are quenching out from within the cluster centre. The spatial distribution of red galaxies and their properties suggest that they were quenched prior to the cluster accretion or an earlier cluster accretion epoch. AGN feedback or mass might also stand as an obstacle in the quenching of these galaxies.

The miniJPAS survey: AGN and host galaxy coevolution of X-ray-selected sources

“…2.1). This survey has demonstrated adequate capacity for galaxy evolution studies through the J-spectra retrieved from the narrow band filters (e.g., González Delgado et al 2021;Rodríguez Martín et al 2022). AGN studies are also suitable on miniJPAS; Queiroz et al (2022) provides a selection of quasar candidates obtained with machine learning methods, and Rahna et al (2022) detects a double-core Lyα morphology on two quasars using the narrowband images.…”

J-NEP: 60-band photometry and photometric redshifts for the James Webb Space Telescope North Ecliptic Pole Time-Domain Field

“…Most of the observing time with Pathfinder was devoted to performing a ∼1 deg 2 survey of the Extended Groth Strip with the 56 filters of J-PAS along with u, g, r, and i, reaching depths comparable to those expected for J-PAS (Bonoli et al 2021). This survey, dubbed miniJPAS, has been used to test the performance of the telescope and the Pathfinder camera (Bonoli et al 2021;Xiao et al 2021), the algorithms for detection of emission lines (Martínez-Solaeche et al 2021;Iglesias-Páramo et al 2022), star, galaxy, and quasar classification (Baqui et al 2021;Queiroz et al 2022), and photo-z calculation (Hernán-Caballero et al 2021;Laur et al 2022), as well as to obtain the first scientific results on the properties of J-PAS galaxies (González Martínez-Solaeche et al 2022;Rodríguez-Martín et al 2022) and quasars (Chaves-Montero et al 2022).…”

J-PAS: Measuring emission lines with artificial neural networks

“…These unique characteristics enable observation and analysis of galaxies and QSOs in continuous redshift ranges, 0 z 1 and 0.5 z 4, respectively (Bonoli et al 2021). Different studies have proved the capability of J-PAS to address several topics within the astrophysical field, for instance, the evolution of the stellar population properties of galaxies up to z ∼ 1 (González Delgado et al 2021), the properties of the nebular emission lines of galaxies down to z ≤ 0.35 (Martínez-Solaeche et al 2022), the measurement of black hole virial masses for the QSO population (Chaves-Montero et al 2021), or the study of galaxy properties within galaxy clusters (Rodríguez-Martín et al 2022) and groups (González . Unfortunately, the data available for spectroscopically confirmed sources in the miniJPAS area are not sufficient to train and test ML algorithms for our purpose.…”