J-PAS: forecasts on dark energy and modified gravity theories

Maroto, Antonio L.; Alcaniz, J. S.; Abramo, L. Raul; Hernández-Monteagudo, C.; Benı́tez, N.; Carneiro, S.; Cenarro, A. J.; Cristóbal-Hornillos, D.; Dupke, Renato A.; Ederoclite, A.; López-Sanjuan, C.; Marín-Franch, A.; Moles, M.; Oliveira, C. Mendes de; Sodré, L.; Taylor, Keith; Varela, J.; Ramió, H. Vázquez

doi:10.1093/mnras/staa367

Cited by 25 publications

(43 citation statements)

References 78 publications

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“…The previous results, together with the completeness shown in Fig. 16, suggest that J-PAS will be able to perform very well in the redshift range of 0.2 < z < 0.6 (Resco et al 2020;Costa et al 2019).…”

Section: Large Scale Structurementioning

confidence: 51%

“…In particular, J-PAS has the potential to provide the most precise determination of the Hubble parameter H(z) and the growth rate f σ 8 (z) at 0.2 ≤ z ≤ 0.6, outperforming past and upcoming surveys in this redshift range. A dedicated forecast analysis can be found in Costa et al (2019), Resco et al (2020), and Resco & Maroto (2020).…”

Section: Large Scale Structurementioning

confidence: 99%

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The miniJPAS survey: A preview of the Universe in 56 colors

Bonoli

Marín-Franch

Varela

et al. 2021

A&A

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The Javalambre-Physics of the Accelerating Universe Astrophysical Survey (J-PAS) will scan thousands of square degrees of the northern sky with a unique set of 56 filters using the dedicated 2.55m JST at the Javalambre Astrophysical Observatory. Prior to the installation of the main camera (4.2 deg 2 field-of-view with 1.2 Gpixels), the JST was equipped with the JPAS-Pathfinder, a one CCD camera with a 0.3 deg 2 field-of-view and plate scale of 0.23 arcsec pixel −1 . To demonstrate the scientific potential of J-PAS, the JPAS-Pathfinder camera was used to perform miniJPAS, a ∼1 deg 2 survey of the AEGIS field (along the Extended Groth Strip). The field was observed with the 56 J-PAS filters, which include 54 narrow band (NB, FWHM ∼ 145 Å) and two broader filters extending to the UV and the near-infrared, complemented by the u, g, r, i SDSS broad band (BB) filters. In this miniJPAS survey overview paper, we present the miniJPAS data set (images and catalogs), as we highlight key aspects and applications of these unique spectro-photometric data and describe how to access the public data products. The data parameters reach depths of mag AB 22 − 23.5 in the 54 narrow band filters and up to 24 in the broader filters (5σ in a 3 aperture). The miniJPAS primary catalog contains more than 64, 000 sources detected in the r band and with matched photometry in all other bands. This catalog is 99% complete at r = 23.6 (r = 22.7) mag for point-like (extended) sources. We show that our photometric redshifts have an accuracy better than 1% for all sources up to r = 22.5, and a precision of ≤ 0.3% for a subset consisting of about half of the sample. On this basis, we outline several scientific applications of our data, including the study of spatially-resolved stellar populations of nearby galaxies, the analysis of the large scale structure up to z ∼ 0.9, and the detection of large numbers of clusters and groups. Sub-percent redshift precision can also be reached for quasars, allowing for the study of the large-scale structure to be pushed to z > 2. The miniJPAS survey demonstrates the capability of the J-PAS filter system to accurately characterize a broad variety of sources and paves the way for the upcoming arrival of J-PAS, which will multiply this data by three orders of magnitude. For reference, the miniJPAS data and associated value added catalogs are publicly available http://archive.cefca.es/catalogues/minijpas-pdr201912.

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Section: Large Scale Structurementioning

confidence: 51%

Section: Large Scale Structurementioning

confidence: 99%

The miniJPAS survey: A preview of the Universe in 56 colors

Bonoli

Marín-Franch

Varela

et al. 2021

A&A

View full text Add to dashboard Cite

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“…Finally the bias of LSST galaxies follows equation (65) with b 0 = 0.95 [3]. For lensing, galaxy distribution is given by (15) with the following values of the mean redshift: z mean = 0.5 for J-PAS and z mean = 0.9 for Euclid, for LSST the galaxy density distribution is, following [3], n(z) ∝ z 2 exp −(z/0.11) 0.68 which is used instead of (15).…”

Section: Discussionmentioning

confidence: 99%

“…where n θ is the areal galaxy density and n(z) follows (15). We sum in with ∆ ln = 0.1 from min = 5 [14] to max with max = χ(z α ) k max where α = min(α, β) and k max (z i ) is defined so that σ(z i , π/2k max (z i )) = 0.35 being,…”

Section: A Multitracer Galaxy Distribution Fisher Matrixmentioning

confidence: 99%

The Fisher gAlaxy suRvey cOde (FARO)

Maroto

2021

J. Cosmol. Astropart. Phys.

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The Fisher gAlaxy suRvey cOde (FARO) is a new public Python code that computes the Fisher matrix for galaxy surveys observables. The observables considered are the linear multitracer 3D galaxy power spectrum, the linear convergence power spectrum for weak lensing, and the linear multitracer power spectrum for the correlation between galaxy distribution and convergence. The code allows for tomographic and model-independent analysis in which, for scale-independent growth, the following functions of redshift Aa(z) ≡ σ8(z) ba(z), R(z) ≡ σ8(z) f (z), L(z) ≡ Ωm σ8(z) Σ(z) and E(z) ≡ H(z)/H0, together with the function of scaleP (k), are taken as free parameters in each redshift and scale bins respectively. In addition, a module for change of variables is provided to project the Fisher matrix on any particular set of parameters required. The code is built to be as fast as possible and user-friendly. As an application example, we forecast the sensitivity of future galaxy surveys like DESI, Euclid, J-PAS and LSST and compare their performance on different redshift and scale ranges.

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“…These distortions have the advantage of carrying information about the dynamics of the galaxies inside the large-scale density field, and they can also be used to measure the growth of structures. Therefore, the effects can be employed as a test to distinguish, for instance, between dark energy and modified gravity models (Joyce et al 2016;Aparicio Resco et al 2020). The RSDs can be quantified in terms of the matter growth rate f, defined as…”

Section: Galaxy Countsmentioning

confidence: 99%

Redshifts fotométricos de quasares em levantamentos de bandas estreitas

Silva¹

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Quasars are active galactic nuclei powered by the accretion of matter onto a supermassive black hole lying at their centers. They are not only the brightest and most highly biased tracers of large-scale structure, but they are also believed to co-evolve with their host galaxies, making them invaluable sources to both cosmology and galaxy evolution studies. Their UV-optical spectra are characterized by a non-thermal continuum and a series of broad emission lines, which can be well-resolved with narrow-band filters. In this thesis, we present a method for estimating precise photometric redshifts (photo-zs) for quasars detected with narrow-band photometric surveys. Our method (dubbed QPz) finds a first-approximation best-fit model for the quasar photospectrum in terms of the socalled eigenspectra -the most relevant modes of variation of broad-line quasars, computed using as a basis a selection of SDSS spectra. At each redshift the photospectrum is modelled as a linear combination of four redshifted eigenspectra combined with an extinction power law. In this work, we utilized spectroscopically confirmed quasars detected with the miniJPAS primary catalog and the first data release of S-PLUS as test cases, and we also constructed and employed mock catalogues to demonstrate the potential that the future J-PAS will have to deliver precise photo-zs for quasars. We validate our method by comparing its performance with a new version (not publicly available yet) of the LePhare code, which is a standard template-fitting approach employed in the literature.

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J-PAS: forecasts on dark energy and modified gravity theories

Cited by 25 publications

References 78 publications

The miniJPAS survey: A preview of the Universe in 56 colors

The miniJPAS survey: A preview of the Universe in 56 colors

The Fisher gAlaxy suRvey cOde (FARO)

Redshifts fotométricos de quasares em levantamentos de bandas estreitas

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