Cosmic voids and void lensing in the Dark Energy Survey Science Verification data

Sánchez, C.; Clampitt, Joseph; Kovács, András; Jain, Bhuvnesh; García-Bellido, J.; Nadathur, Seshadri; Gruen, D.; Hamaus, Nico; Huterer, Dragan; Vielzeuf, P.; Amara, Adam; Bonnett, C.; DeRose, Joseph J.; Hartley, W. G.; Jarvis, Mike; Lahav, O.; Miquel, R.; Rozo, Eduardo; Rykoff, E. S.; Sheldon, E.; Wechsler, Risa H.; Zuntz, J.; Abbott, T. M. C.; Abdalla, F. B.; Annis, J.; Benoit-Lévy, A.; Bernstein, G. M.; Bernstein, R. A.; Bertin, E.; Brooks, D.; Buckley-Geer, E.; Rosell, A. Carnero; Kind, M. Carrasco; Carretero, J.; Crocce, M.; Cunha, C. E.; D’Andrea, C. B.; Costa, L. N. da; Desai, S.; Diehl, H. T.; Dietrich, J. P.; Doel, P.; Evrard, A. E.; Neto, A. Fausti; Flaugher, B.; Fosalba, P.; Frieman, Joshua A.; Gaztañaga, E.; Gruendl, R. A.; Gutiérrez, G.; Honscheid, K.; James, D. J.; Krause, E.; Kuêhn, K.; Lima, M.; Maia, M. A. G.; Marshall, J. L.; Melchior, P.; Plazas, A. A.; Reil, K.; Romer, A. K.; Sánchez, E.; Schubnell, M.; Sevilla-Noarbe, I.; Smith, R. C.; Soares-Santos, M.; Sobreira, F.; Suchyta, E.; Tarlè, G.; Thomas, Daniel; Walker, A. R.; Weller, J.

doi:10.1093/mnras/stw2745

Cited by 111 publications

(126 citation statements)

References 102 publications

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“…The shear signal around our actual underdense and overdense lines of sight as measured from these rotated source catalogs represents a random realization of the shape noise (cf., e.g., [62], for a similar technique for shear peak statistics, [63] for void lensing, and [61] for cluster lensing).…”

Section: A Shape Noisementioning

confidence: 99%

Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

Gruen¹,

Friedrich²,

Krause³

et al. 2018

Phys. Rev. D

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107

114

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We derive cosmological constraints from the probability distribution function (PDF) of evolved large-scale matter density fluctuations. We do this by splitting lines of sight by density based on their count of tracer galaxies, and by measuring both gravitational shear around and counts-in-cells in overdense and underdense lines of sight, in Dark Energy Survey (DES) First Year and Sloan Digital Sky Survey (SDSS) data. Our analysis uses a perturbation theory model [O. Friedrich et al., Phys. Rev. D 98, 023508 (2018)] and is validated using N-body simulation realizations and log-normal mocks. It allows us to constrain cosmology, bias and stochasticity of galaxies with respect to matter density and, in addition, the skewness of the matter density field. From a Bayesian model comparison, we find that the data weakly prefer a connection of galaxies and matter that is stochastic beyond Poisson fluctuations on ≤ 20 arcmin angular smoothing scale. The two stochasticity models we fit yield DES constraints on the matter density Ω m ¼ 0.26 −0.07 for the two stochasticity models), but consistent with each other and with the 3 x 2pt results if stochasticity is at the low end of the posterior range. As an additional test of gravity, counts and lensing in cells allow to compare the skewness S 3 of the matter density PDF to its ΛCDM prediction. We find no evidence of excess skewness in any model or data set, with better than 25 per cent relative precision in the skewness estimate from DES alone.

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Section: A Shape Noisementioning

confidence: 99%

Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

Gruen¹,

Friedrich²,

Krause³

et al. 2018

Phys. Rev. D

Self Cite

107

114

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show abstract

“…Large-scale galaxy surveys can be used to measure the weak lensing signal of voids (e.g. Clampitt & Jain 2015;Sánchez et al 2017). Particularly promising is the measurement of weak lensing by voids with forthcoming wide-field surveys, such as EUCLID (Laureijs et al 2011) and LSST (LSST Science Collaboration et al 2009), which will have a sky coverage of 20, 000 and 18, 000 square degrees, respectively.…”

Section: Predictions For Euclid and Lsstmentioning

confidence: 99%

The Santiago–Harvard–Edinburgh–Durham void comparison II: unveiling the Vainshtein screening using weak lensing

Paillas

Cautun

et al. 2019

Monthly Notices of the Royal Astronomical Society

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We study cosmic voids in the normal-branch Dvali-Gabadadze-Porrati (nDGP) braneworld models, which are representative of a class of modified gravity theories where deviations from General Relativity are usually hidden by the Vainshtein screening in high-density environments. This screening is less efficient away from these environments, which makes voids ideally suited for testing this class of models. We use N-body simulations of Λ-cold dark matter (ΛCDM) and nGDP universes, where dark matter haloes are populated with mock galaxies that mimic the clustering and number densities of the BOSS CMASS galaxy sample. We measure the force, density and weak lensing profiles around voids identified with six different algorithms. Compared to ΛCDM, voids in nDGP are more under-dense due to the action of the fifth force that arises in these models, which leads to a faster evacuation of matter from voids. This leaves an imprint on the weak lensing tangential shear profile around nDGP voids, an effect that is particularly strong for 2D underdensities that are identified in the plane-ofthe-sky. We make predictions for the feasibility of distinguishing between nDGP and ΛCDM using void lensing in upcoming large-scale surveys such as LSST and EUCLID. We compare with the analysis of voids in chameleon gravity theories and find that the weak lensing signal for 3D voids is similar to nDGP, whereas for 2D voids the differences with ΛCDM are much stronger for the chameleon gravity case, a direct consequence of the different screening mechanisms operating in these theories.

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“…Deviations from GR can be observed also measuring the matter density profile of cosmic voids, which can be reconstructed exploiting voids as weak gravitational (anti-)lenses to infer their projected surface mass density (see e.g. Melchior et al 2014;Clampitt & Jain 2015;Sánchez et al 2017;Davies, Cautun & Li 2018). Modified gravity also causes a faster expansion around these objects, that can be revealed measuring the redshift-space distortions (RSD) in the cross-correlation of galaxies and void centres Cai et al 2016;Hamaus et al 2017;Achitouv 2017;Hawken et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Cosmological exploitation of the size function of cosmic voids identified in the distribution of biased tracers

Contarini

Ronconi

Marulli

et al. 2019

Monthly Notices of the Royal Astronomical Society

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Cosmic voids are large underdense regions that, together with galaxy clusters, filaments and walls, build up the large-scale structure of the Universe. The void size function provides a powerful probe to test the cosmological framework. However, to fully exploit this statistics, the void sample has to be properly cleaned from spurious objects. Furthermore, the bias of the mass tracers used to detect these regions has to be taken into account in the size function model. In our work we test a cleaning algorithm and a new void size function model on a set of simulated dark matter halo catalogues, with different mass and redshift selections, to investigate the statistics of voids identified in a biased mass density field. We then investigate how the density field tracers' bias affects the detected size of voids. The main result of this analysis is a new model of the size function, parameterised in terms of the linear effective bias of the tracers used, which is straightforwardly inferred from the large-scale two-point correlation function. This method is a crucial step in exploiting real surveys. The proposed size function model has been accurately calibrated on halo catalogues, and used to validate the possibility to provide forecasts on the cosmological constraints, namely on the matter density contrast, Ω M , and on the normalisation of the linear matter power spectrum, σ 8 , at different redshifts.

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Cosmic voids and void lensing in the Dark Energy Survey Science Verification data

Cited by 111 publications

References 102 publications

Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

The Santiago–Harvard–Edinburgh–Durham void comparison II: unveiling the Vainshtein screening using weak lensing

Cosmological exploitation of the size function of cosmic voids identified in the distribution of biased tracers

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