Testing ΛCDM at the lowest redshifts with SN Ia and galaxy velocities

Huterer, Dragan; Shafer, D.; Scolnic, D.; Schmidt, Fabian

doi:10.1088/1475-7516/2017/05/015

Cited by 162 publications

(110 citation statements)

References 82 publications

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“…In Fig. 9, we also compare the measured f σ 8 , including our f σ 8 measurements and those from a small selection of recent surveys (Blake et al 2011;Beutler et al 2012;Carrick et al 2015;Howlett et al 2017b;Alam et al 2017;Huterer et al 2017;Adams & Blake 2017;Shi et al 2018;Dupuy et al 2019), to the theoretical prediction. Although these measurements are all largely in agreement with the GR prediction, there is some hint of tension when they are all taken together.…”

Section: Comparison With Theorymentioning

confidence: 97%

“…Both Huterer et al (2017) and Howlett et al (2017b) used similar techniques to Adams & Blake (2017) but for the velocity field alone. Like Adams & Blake (2017), Huterer et al (2017) used 6dFGSv to measure f σ 8 , but include an additional 164 Type Ia supernovae (SNIa) into their data set. The total number of SNIa they have used is small, however the precise distance estimates significantly improve the measurement error of f σ 8 , even comparing to Adams & Blake (2017).…”

Section: Detailed Comparison With Other Measurementsmentioning

confidence: 99%

“…These peculiar velocities arise directly from the gravitational interactions between galaxies and the underlying density field. The use of peculiar velocity surveys to measure the growth rate and galaxy bias has a long history (see Strauss & Willick 1995 for a review) but can be broadly categorised into measurements of the velocity correlation function (Gorski et al 1989;Juszkiewicz et al 2000;Feldman et al 2003;Dupuy et al 2019), velocity power spectrum Zaroubi et al 1997;Silberman et al 2001;Johnson et al 2014;Howlett et al 2017b;Huterer et al 2017) or via comparison of the reconstructed/measured density and velocity fields (Nusser & Davis 1994;Erdoǧdu et al 2006;Lavaux et al 2010).…”

Section: Introductionmentioning

confidence: 99%

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The redshift-space momentum power spectrum – II. Measuring the growth rate from the combined 2MTF and 6dFGSv surveys

Qin

Howlett

2019

Monthly Notices of the Royal Astronomical Society

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Measurements of the growth rate of structure, f σ 8 in the low-redshift Universe allow stringent tests of the cosmological model. In this work, we provide new constraints on f σ 8 at an effective redshift of z = 0.03 using the combined density and velocity fields measured by the 2MTF and 6dFGSv surveys. We do this by applying a new estimator of the redshift-space density and momentum (density-weighted velocity) power spectra, developed in the first paper of this series, to measured redshifts and peculiar velocities from these datasets. We combine this with models of the density and momentum power spectra in the presence of complex survey geometries and with an ensemble of simulated galaxy catalogues that match the survey selection functions and galaxy bias. We use these simulations to estimate the errors on our measurements and identify possible systematics. In particular, we are able to identify and remove biases caused by the non-Gaussianity of the power spectra by applying the Box-Cox transformation to the power spectra prior to fitting. After thorough validation of our methods we recover a constraint of f σ 8 (z eff = 0.03) = 0.404 +0.082 −0.081 from the combined 2MTF and 6dFGSv data. This measurement is fully consistent with the expectations of General Relativity and the Λ Cold Dark Matter cosmological model. It is also comparable and complementary to constraints using different techniques on similar data, affirming the usefulness of our method for extracting cosmology from velocity fields.

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Section: Comparison With Theorymentioning

confidence: 97%

Section: Detailed Comparison With Other Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The redshift-space momentum power spectrum – II. Measuring the growth rate from the combined 2MTF and 6dFGSv surveys

Qin

Howlett

2019

Monthly Notices of the Royal Astronomical Society

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“…Hamaus et al 2016;Achitouv et al 2017;Hawken et al 2017), and from other different tracers of the peculiar velocity field (e.g. Percival et al 2004;Davis et al 2011;Feix et al 2015;Huterer et al 2017;Adams & Blake 2017). Moreover, it has been shown that RSD provide a powerful probe to constrain the mass of relic cosmological neutrinos (Marulli et al 2011;Upadhye 2019) and the main parameters of interacting DE models (Marulli et al 2012a;Costa et al 2017), as well as helping in breaking the degeneracy between modified gravity and massive neutrino cosmologies (Moresco & Marulli 2017;Wright et al 2019;García-Farieta et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Validating the methodology for constraining the linear growth rate from clustering anisotropies

García-Farieta

Marulli

Moscardini

et al. 2020

Monthly Notices of the Royal Astronomical Society

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Redshift-space clustering distortions provide one of the most powerful probes to test the gravity theory on the largest cosmological scales. In this paper we perform a systematic validation study of the state-of-the-art statistical methods currently used to constrain the linear growth rate from redshift-space distortions in the galaxy two-point correlation function. The numerical pipelines are tested on mock halo catalogues extracted from large N-body simulations of the standard cosmological framework, in the redshift range 0.5 z 2. We consider both the monopole and quadrupole multipole moments of the redshift-space two-point correlation function, as well as the radial and transverse clustering wedges, in the comoving scale range 10 < r[h −1 Mpc] < 55. Moreover, we investigate the impact of redshift measurement errors, up to δz ∼ 0.5%, which introduce spurious clustering anisotropies. We quantify the systematic uncertainties on the growth rate and linear bias measurements due to the assumptions in the redshiftspace distortion model. Considering both the dispersion model and two widely-used models based on perturbation theory, that is the Scoccimarro (2004) model and the Taruya et al. (2010) model, we find that the linear growth rate is underestimated by about 5 − 10% at z < 1, while limiting the analysis at larger scales, r > 30 h −1 Mpc, the discrepancy is reduced below 5%. At higher redshifts, we find instead an overall good agreement between measurements and model predictions. The Taruya et al. (2010) model is the one which performs better, with growth rate uncertainties below about 3%. The effect of redshift errors is degenerate with the one of small-scale random motions, and can be marginalised over in the statistical analysis, not introducing any statistically significant bias in the linear growth constraints, especially at z ≥ 1.

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“…estimated the power spectrum by first reconstructing the density field on a grid from a set of PV measurements. Many studies (Zaroubi et al 1997;Macaulay et al 2012;Johnson et al 2014;Howlett et al 2017b;Huterer et al 2017) have also successfully used a likelihood based method to estimate the velocity power spectrum from existing datasets. This was extended in Adams & Blake (2017) to include measurements of the galaxy density power spectrum, and the cross-power spectrum between the density and velocity fields.…”

Section: Introductionmentioning

confidence: 99%

The redshift-space momentum power spectrum – I. Optimal estimation from peculiar velocity surveys

Howlett

2019

Monthly Notices of the Royal Astronomical Society

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Low redshift surveys of galaxy peculiar velocities provide a wealth of cosmological information. We revisit the idea of extracting this information by directly measuring the redshift-space momentum power spectrum from such surveys. We provide a comprehensive theoretical and practical framework for estimating and fitting this from data, analogous to well understood techniques used to measure the galaxy density power spectrum from redshift surveys. We formally derive a new estimator, which includes the effects of shot noise and survey geometry; we evaluate the variance of the estimator in the Gaussian regime; we compute the optimal weights for the estimator; we demonstrate that the measurements are Gaussian distributed, allowing for easy extraction of cosmological parameters; and we explore the effects of peculiar velocity measurement errors. We finish with a proof-of-concept using realistic mock galaxy catalogues, which demonstrates that we can measure and fit both the redshift-space galaxy density and momentum power spectra from peculiar velocity surveys and that including the latter substantially improves our constraints on the growth rate of structure. We also provide theoretical descriptions for modelling the non-linear redshift-space density and momentum power spectrum multipoles, and forecasting the constraints on cosmological parameters using the Fisher information contained in these measurements for arbitrary weights. These may be useful for measurements of the galaxy density power spectrum even in the absence of peculiar velocities.

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Testing ΛCDM at the lowest redshifts with SN Ia and galaxy velocities

Cited by 162 publications

References 82 publications

The redshift-space momentum power spectrum – II. Measuring the growth rate from the combined 2MTF and 6dFGSv surveys

The redshift-space momentum power spectrum – II. Measuring the growth rate from the combined 2MTF and 6dFGSv surveys

Validating the methodology for constraining the linear growth rate from clustering anisotropies

The redshift-space momentum power spectrum – I. Optimal estimation from peculiar velocity surveys

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