The SDSS Co-Add: Cosmic Shear Measurement

Lin, Huan; Dodelson, Scott; Seo, Hee-Jong; Soares-Santos, M.; Annis, J.; Hao, Jiangang; Johnston, David; Kubo, Jeffrey M.; Reis, Ribamar R. R.; Simet, Melanie

doi:10.1088/0004-637x/761/1/15

Cited by 71 publications

(95 citation statements)

References 48 publications

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“…Two groups (Lin et al, 2012; have performed a cosmic shear measurement using the Sloan Digital Sky Survey deep co-added region -a 120-degree long stripe observed many times over the course of three years as part of the SDSS-II supernova survey. These analyses used different methods to co-add their data and correct for the PSF ellipticity, and they imposed different selection cuts and hence had different redshift distributions, yet the results were in agreement (and slightly more than 1σ below the WMAP prediction for σ 8 ).…”

Section: Cosmic Shearmentioning

confidence: 99%

Observational probes of cosmic acceleration

et al. 2013

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The accelerating expansion of the universe is the most surprising cosmological discovery in many decades, implying that the universe is dominated by some form of "dark energy" with exotic physical properties, or that Einstein's theory of gravity breaks down on cosmological scales. The profound implications of cosmic acceleration have inspired ambitious efforts to understand its origin, with experiments that aim to measure the history of expansion and growth of structure with percent-level precision or higher. We review in detail the four most well established methods for making such measurements: Type Ia supernovae, baryon acoustic oscillations (BAO), weak gravitational lensing, and the abundance of galaxy clusters. We pay particular attention to the systematic uncertainties in these techniques and to strategies for controlling them at the level needed to exploit "Stage IV" dark energy facilities such as BigBOSS, LSST, Euclid, and WFIRST. We briefly review a number of other approaches including redshift-space distortions, the Alcock-Paczynski effect, and direct measurements of the Hubble constant H 0 . We present extensive forecasts for constraints on the dark energy equation of state and parameterized deviations from General Relativity, achievable with Stage III and Stage IV experimental programs that incorporate supernovae, BAO, weak lensing, and cosmic microwave background data. We also show the level of precision required for clusters or other methods to provide constraints competitive with those of these fiducial programs. We emphasize the value of a balanced program that employs several of the most powerful methods in combination, both to cross-check systematic uncertainties and to take advantage of complementary information. Surveys to probe cosmic acceleration produce data sets that support a wide range of scientific investigations, and they continue the longstanding astronomical tradition of mapping the universe in ever greater detail over ever larger scales.

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Section: Cosmic Shearmentioning

confidence: 99%

Observational probes of cosmic acceleration

et al. 2013

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“…More recently the Sloan Digital Sky Survey (SDSS) Stripe 82 region of 140 to 168 square degrees was analysed by Lin et al [75] and Huff et al [52]. The recent Deep Lens Survey (DLS) cosmological constraints by Jee et al [57] [64] (hereafter K13), Heymans et al [47] (hereafter H13), Kitching et al [68] and Benjamin et al [9].…”

Section: Introductionmentioning

confidence: 99%

Cosmology from cosmic shear with Dark Energy Survey Science Verification data

Abbott¹,

Abdalla²,

Allam³

et al. 2016

Phys. Rev. D

156

113

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, UKWe present the first constraints on cosmology from the Dark Energy Survey (DES), using weak lensing measurements from the preliminary Science Verification (SV) data. We use 139 square degrees of SV data, which is less than 3% of the full DES survey area. Using cosmic shear 2-point measurements over three redshift bins we find σ8(Ωm/0.3) 0.5 = 0.81 ± 0.06 (68% confidence), after marginalising over 7 systematics parameters and 3 other cosmological parameters. We examine the robustness of our results to the choice of data vector and systematics assumed, and find them to be stable. About 20% of our error bar comes from marginalising over shear and photometric redshift calibration uncertainties. The current state-of-the-art cosmic shear measurements from CFHTLenS are mildly discrepant with the cosmological constraints from Planck CMB data; our results are consistent with both datasets. Our uncertainties are ∼30% larger than those from CFHTLenS when we carry out a comparable analysis of the two datasets, which we attribute largely to the lower number density of our shear catalogue. We investigate constraints on dark energy and find that, with this small fraction of the full survey, the DES SV constraints make negligible impact on the Planck constraints. The moderate disagreement between the CFHTLenS and Planck values of σ8(Ωm/0.3) 0.5 is present regardless of the value of w.

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“…Specifically, we generate a random realization of a shear field using input cosmological parameters Ω M = 0.25, σ 8 = 0.8, and all other inputs (including survey redshift distribution) chosen to replicate those in the simulation exercises of Lin et al (2012). In this case, we model cosmic shear as a Gaussian random field (GRF) on a grid of pixels, although future analyses would incorporate more realistic models (see Kiessling et al 2011.…”

Section: Example Applicationmentioning

confidence: 99%

“…Common examples of observables include, among others, estimates of the two-point correlation functions ξ ± or power spectrum modes C (as in, e.g., Lin et al 2012), among others. Then, the summary statistic is assumed to have a multivariate Gaussian distribution, so that the likelihood of a set of valuesθ for cosmological parameters is given by…”

Section: Introductionmentioning

confidence: 99%

The potential of likelihood-free inference of cosmological parameters with weak lensing data

Vespe

2014

Proc. IAU

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Abstract. In the statistical framework of likelihood-free inference, the posterior distribution of model parameters is explored via simulation rather than direct evaluation of the likelihood function, permitting inference in situations where this function is analytically intractable. We consider the problem of estimating cosmological parameters using measurements of the weak gravitational lensing of galaxies; specifically, we propose the use a likelihood-free approach to investigate the posterior distribution of some parameters in the ΛCDM model upon observing a large number of sheared galaxies. The choice of summary statistic used when comparing observed data and simulated data in the likelihood-free inference framework is critical, so we work toward a principled method of choosing the summary statistic, aiming for dimension reduction while seeking a statistic that is as close as possible to being sufficient for the parameters of interest.

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The SDSS Co-Add: Cosmic Shear Measurement

Cited by 71 publications

References 48 publications

Observational probes of cosmic acceleration

Observational probes of cosmic acceleration

Cosmology from cosmic shear with Dark Energy Survey Science Verification data

The potential of likelihood-free inference of cosmological parameters with weak lensing data

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