The miniJPAS survey

Rodríguez‐Martín, Jesica; Delgado, R. M. González; Martínez-Solaeche, Ginés; Díaz-García, L. A.; Amorim, A.; García-Benito, R.; Pérez, E.; Fernandes, R. Cid; Carrasco, Eleazar R.; Maturi, M.; Finoguenov, A.; Lopes, P. A. A.; Cortesi, A.; Lucatelli, Geferson; Diego, J. M.; Chies-Santos, Ana L.; Dupke, Renato A.; Jiménez-Teja, Y.; Vı́lchez, J. M.; Abramo, L. Raul; Alcaniz, J. S.; Benítez, N.; Bonoli, Silvia; Cenarro, A. J.; Cristóbal-Hornillos, D.; Ederoclite, A.; Hernán-Caballero, A.; López-Sanjuán, C.; Marín-Franch, A.; Oliveira, C. Mendes de; Moles, M.; Sodré, L.; Taylor, Keith; Varela, J.; Ramió, H. Vázquez; Márquez, I.

doi:10.1051/0004-6361/202243245

Cited by 9 publications

(3 citation statements)

References 189 publications

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“…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.…”

Section: Introductionmentioning

confidence: 99%

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

López

et al. 2023

A&A

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Studies indicate strong evidence of a scaling relation in the local Universe between the supermassive black hole mass (MBH) and the stellar mass of their host galaxies (M⋆). They even show similar histories across cosmic times of their differential terms: the star formation rate (SFR) and black hole accretion rate (BHAR). However, a clear picture of this coevolution is far from being understood. We selected an X-ray sample of active galactic nuclei (AGN) up to z = 2.5 in the miniJPAS footprint. Their X-ray to infrared spectral energy distributions (SEDs) have been modeled with the CIGALE code, constraining the emission to 68 bands, from which 54 are the narrow filters from the miniJPAS survey. For a final sample of 308 galaxies, we derived their physical properties, such as their M⋆, SFR, star formation history (SFH), and the luminosity produced by the accretion process of the central BH (LAGN). For a subsample of 113 sources, we also fit their optical spectra to obtain the gas velocity dispersion from the broad emission lines and estimated the MBH. We calculated the BHAR in physical units depending on two radiative efficiency regimes. We find that the Eddington ratios (λEdd) and its popular proxy (LX/M⋆) have a difference of 0.6 dex, on average, and a KS test indicates that they come from different distributions. Our sources exhibit a considerable scatter on the MBH − M⋆ scaling relation, which can explain the difference between λEdd and its proxy. We also modeled three evolution scenarios for each source to recover the integral properties at z = 0. Using the SFR and BHAR, we show a notable diminution in the scattering between MBH − M⋆. For the last scenario, we considered the SFH and a simple energy budget for the AGN accretion, and we retrieved a relation similar to the calibrations known for the local Universe. Our study covers ∼1 deg2 in the sky and is sensitive to biases in luminosity. Nevertheless, we show that, for bright sources, the link between the differential values (SFR and BHAR) and their decoupling based on an energy limit is the key that leads to the local MBH − M⋆ scaling relation. In the future, we plan to extend this methodology to a thousand degrees of the sky using JPAS with an X-ray selection from eROSITA, to obtain an unbiased distribution of BHAR and Eddington ratios.

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Section: Introductionmentioning

confidence: 99%

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

López

et al. 2023

A&A

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“…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).…”

Section: Introductionmentioning

confidence: 99%

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

Hernán-Caballero

Willmer

Varela

et al. 2023

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The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will observe approximately one-third of the northern sky with a set of 56 narrow-band filters using the dedicated 2.55 m Javalambre Survey Telescope (JST) at the Javalambre Astrophysical Observatory. Prior to the installation of the main camera, in order to demonstrate the scientific potential of J-PAS, two small surveys were performed with the single-CCD Pathfinder camera: miniJPAS (~1 deg2 along the Extended Groth Strip), and J-NEP (~0.3 deg2 around the JWST North Ecliptic Pole Time Domain Field), including all 56 J-PAS filters as well as u, g, r, and i. J-NEP is ~0.5–1.0 mag deeper than miniJPAS, providing photometry for 24,618 r-band-detected sources and photometric redshifts (photo-z) for the 6662 sources with r < 23. In this paper, we describe the photometry and photo-z of J-NEP and demonstrate a new method for the removal of systematic offsets in the photometry based on the median colours of galaxies, which we call ‘galaxy locus recalibration’. This method does not require spectroscopic observations except in a few reference pointings and, unlike previous methods, is directly applicable to the whole J-PAS survey. We use a spectroscopic sample of 787 galaxies to test the photo-z performance for J-NEP and in comparison to miniJPAS. We find that the deeper J-NEP observations result in a factor ~1.5–2 decrease in σNMAD (a robust estimate of the standard deviation of the photo-z error) and η (the outlier rate) relative to miniJPAS for r > 21.5 sources, but no improvement in brighter ones, which is probably because of systematic uncertainties. We find the same relation between σNMAD and odds in J-NEP and miniJPAS, which suggests that we will be able to predict the σNMAD of any set of J-PAS sources from their odds distribution alone, with no need for additional spectroscopy to calibrate the relation. We explore the causes of photo-z outliers and find that colour-space degeneracy at low S/N, photometry artefacts, source blending, and exotic spectra are the most important factors.

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“…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.…”

Section: Introductionmentioning

confidence: 99%

J-PAS: Measuring emission lines with artificial neural networks

Martínez-Solaeche

Delgado

García-Benito

et al. 2021

A&A

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In the years to come, the Javalambre-Physics of the Accelerated Universe Astrophysical Survey (J-PAS) will observe 8000 deg2 of the northern sky with 56 photometric bands. J-PAS is ideal for the detection of nebular emission objects. This paper presents a new method based on artificial neural networks (ANNs) that is aimed at measuring and detecting emission lines in galaxies up to z = 0.35. These lines are essential diagnostics for understanding the evolution of galaxies through cosmic time. We trained and tested ANNs with synthetic J-PAS photometry from CALIFA, MaNGA, and SDSS spectra. To this aim, we carried out two tasks. First, we clustered galaxies in two groups according to the values of the equivalent width (EW) of Hα, Hβ, [N II], and [O III] lines measured in the spectra. Then we trained an ANN to assign a group to each galaxy. We were able to classify them with the uncertainties typical of the photometric redshift measurable in J-PAS. Second, we utilized another ANN to determine the values of those EWs. Subsequently, we obtained the [N II]/Hα, [O III]/Hβ, and O 3N 2 ratios, recovering the BPT diagram ([O III]/Hβ versus [N II]/Hα). We studied the performance of the ANN in two training samples: one is only composed of synthetic J-PAS photo-spectra (J-spectra) from MaNGA and CALIFA (CALMa set) and the other one is composed of SDSS galaxies. We were able to fully reproduce the main sequence of star-forming galaxies from the determination of the EWs. With the CALMa training set, we reached a precision of 0.092 and 0.078 dex for the [N II]/Hα and [O III]/Hβ ratios in the SDSS testing sample. Nevertheless, we find an underestimation of those ratios at high values in galaxies hosting an active galactic nuclei. We also show the importance of the dataset used for both training and testing the model. Such ANNs are extremely useful for overcoming the limitations previously expected concerning the detection and measurements of the emission lines in such surveys as J-PAS. Furthermore, we show the capability of the method to measure a EW of 10 Å in Hα, Hβ, [N II] and [O III] lines with a signal-to-noise ratio (S/N) of 5, 1.5, 3.5, and 10, respectively, in the photometry. Finally, we compare the properties of emission lines in galaxies observed with miniJPAS and SDSS. Despite the limitation of such a comparison, we find a remarkable correlation in their EWs.

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The miniJPAS survey

Cited by 9 publications

References 189 publications

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

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

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

J-PAS: Measuring emission lines with artificial neural networks

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