New constraints on σ8 from a joint analysis of stacked gravitational lensing and clustering of galaxy clusters

Sereno, Mauro; Veropalumbo, Alfonso; Marulli, F.; Covone, G.; Moscardini, L.; Cimatti, A.

doi:10.1093/mnras/stv280

Cited by 46 publications

(50 citation statements)

References 64 publications

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“…In particular, clusters of galaxies can be efficiently used to probe the low redshift Universe. Their large bias and low velocity dispersion at small scales make them optimal tracers for large scale structure analyses (Sereno et al 2015;Veropalumbo et al 2014Veropalumbo et al , 2016. On the other hand, AGN samples can be exploited to push the GR test on larger redshifts.…”

Section: Discussionmentioning

confidence: 99%

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Redshift-space distortions of galaxies, clusters, and AGN

Marulli

Veropalumbo

Moscardini

et al. 2017

A&A

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Aims. Redshift-space clustering anisotropies caused by cosmic peculiar velocities provide a powerful probe to test the gravity theory on large scales. However, to extract unbiased physical constraints, the clustering pattern has to be modelled accurately, taking into account the effects of non-linear dynamics at small scales, and properly describing the link between the selected cosmic tracers and the underlying dark matter field. Methods. We use a large hydrodynamic simulation to investigate how the systematic error on the linear growth rate, f , caused by model uncertainties, depends on sample selections and comoving scales. Specifically, we measure the redshift-space two-point correlation function of mock samples of galaxies, galaxy clusters and Active Galactic Nuclei, extracted from the Magneticum simulation, in the redshift range 0.2 ≤ z ≤ 2, and adopting different sample selections. We estimate f σ 8 by modelling both the monopole and the full two-dimensional anisotropic clustering, using the dispersion model. Results. We find that the systematic error on f σ 8 depends significantly on the range of scales considered for the fit. If the latter is kept fixed, the error depends on both redshift and sample selection, due to the scale-dependent impact of non-linearities, if not properly modelled. On the other hand, we show that it is possible to get almost unbiased constraints on f σ 8 provided that the analysis is restricted to a proper range of scales, that depends non trivially on the properties of the sample. This can have a strong impact on multiple tracers analyses, and when combining catalogues selected at different redshifts.

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Section: Discussionmentioning

confidence: 99%

“…Moresco et al 2014), or by combining clustering and lensing measurements (see e.g. Sereno et al 2015). To minimise the uncertainties and systematics possibly present in the above methods, we derive bσ 8 directly from the real-space two-point correlation functions of our mock tracers, through Eq.…”

Section: Methodsmentioning

confidence: 99%

Redshift-space distortions of galaxies, clusters, and AGN

Marulli

Veropalumbo

Moscardini

et al. 2017

A&A

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“…Together with ensemble studies of the large scale structure, lensing surveys can picture the surroundings of single haloes.The environment bias be expresses the matter overdensity in the surroundings of massive halos. Observational campaigns have ascertained the halo bias and its mass dependence 8,9,13 but efforts to detect enhancing mechanisms or secondary biases for massive halos have been inconclusive. Contamination by foreground or background groups hampers the analysis in stacked cluster subsamples 11,12 .…”

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confidence: 99%

Gravitational lensing detection of an extremely dense environment around a galaxy cluster

et al. 2018

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Galaxy clusters form at the highest density nodes of the cosmic web 1,2 . The clustering of massive halos is enhanced relative to the general mass distribution and matter beyond the virial region is strongly correlated to the halo mass (halo bias) 3 . Clustering can be further enhanced depending on halo properties other than mass (secondary bias) 4-7 . The questions of how much and why the regions surrounding rich clusters are over-dense are still unanswered [8][9][10][11][12][13] . Here, we report the analysis of the environment bias in a sample of very massive clusters, selected through the Sunyaev-Zel'dovich effect by the Planck mission 14,15 . We present the first detection of the correlated dark matter associated to a single cluster, PSZ2 G099.86+58.45. The system is extremely rare in the current paradigm of structure formation. The gravitational lensing signal was traced up to 30 megaparsecs with high signalto-noise ratio (∼ 3.4). The measured shear is very large and points at environment matter density in notable excess of the cosmological mean. The boosting of the correlated dark matter density around high mass halos can be very effective. Together with ensemble studies of the large scale structure, lensing surveys can picture the surroundings of single haloes.The environment bias be expresses the matter overdensity in the surroundings of massive halos. Observational campaigns have ascertained the halo bias and its mass dependence 8,9,13 but efforts to detect enhancing mechanisms or secondary biases for massive halos have been inconclusive. Contamination by foreground or background groups hampers the analysis in stacked cluster subsamples 11,12 . Here, we measure for the first time the environment bias of a single massive cluster by detection of the weak lensing (WL) signal. WL distorts the shape of the background galaxies. The correlated matter around the halo imprints a peculiar feature in the shear profile 16 . No proxy is needed. Mass and concentration of the halo and environment bias can be determined by fitting the shear profile up to very large distances. Even though the measurement of the shear around a single cluster is very challenging due to high noise, the interpretation is much more direct than for stacked samples, where the noise is reduced at the price of averaging over heterogeneous or contaminated samples.Sunyaev-Zel'dovich (SZ) selected galaxy clusters appear to be trustful tracers of the massive end of the cosmological halo mass function 17 . We studied the environment bias in the PSZ2LenS sample 15 , which consists of the 35 galaxy clusters detected by the Planck mission 14 in the sky portion covered by the lensing surveys CFHTLenS (Canada France Hawaii Telescope Lensing Survey) 18 and RCSLenS (Red Cluster Sequence Lensing Survey) 19 . PSZ2LenS is a statistically complete and homogeneous subsample of the PSZ2 14 catalogue. It is approximately mass limited and the main halo properties are in excellent agreement with the ΛCDM (Cold Dark Matter with a cosmological constant Λ) scenario of ...

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“…Large redshift errors, as in photometric redshift surveys, lead to severe distortion effects that reflect in the 2PCF measurement, complicating its analysis and cosmological interpretation (see e.g. Marulli et al 2012;Sereno et al 2015). In order to construct spectroscopic cluster samples, we take advantage of the spectroscopic data from the SDSS.…”

Section: Sample Selectionmentioning

confidence: 99%

Measuring the distance–redshift relation with the baryon acoustic oscillations of galaxy clusters

Veropalumbo¹,

Marulli²,

Moscardini³

et al. 2016

Mon. Not. R. Astron. Soc.

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We analyse the largest spectroscopic samples of galaxy clusters to date, and provide observational constraints on the distance-redshift relation from baryon acoustic oscillations. The cluster samples considered in this work have been extracted from the Sloan Digital Sky Survey at three median redshifts, z = 0.2, z = 0.3, and z = 0.5. The number of objects is 12910, 42215, and 11816, respectively. We detect the peak of baryon acoustic oscillations for all the three samples. The derived distance con- −0.44 . This is the first time the distance-redshift relation has been constrained using only the peak of baryon acoustic oscillations of galaxy clusters.

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New constraints on σ8 from a joint analysis of stacked gravitational lensing and clustering of galaxy clusters

Cited by 46 publications

References 64 publications

Redshift-space distortions of galaxies, clusters, and AGN

Redshift-space distortions of galaxies, clusters, and AGN

Gravitational lensing detection of an extremely dense environment around a galaxy cluster

Measuring the distance–redshift relation with the baryon acoustic oscillations of galaxy clusters

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