Cosmology from large-scale galaxy clustering and galaxy–galaxy lensing with Dark Energy Survey Science Verification data

Kwan, Juliana; Sánchez, C.; Clampitt, Joseph; Blazek, Jonathan; Crocce, M.; Jain, Bhuvnesh; Zuntz, Joe; Amara, Adam; Becker, M. R.; Bernstein, G. M.; Bonnett, C.; DeRose, J.; Dodelson, Scott; Eifler, T. F.; Gaztañaga, E.; Giannantonio, T.; Gruen, David; Hartley, W. G.; Kacprzak, T.; Kirk, D.; Krause, E.; MacCrann, N.; Miquel, R.; Park, Y.; Ross, Ashley J.; Rozo, Eduardo; Rykoff, E. S.; Sheldon, E.; Troxel, M. A.; Wechsler, Risa H.; Abbott, T. M. C.; Abdalla, F. B.; Allam, S.; Benoit-Lévy, A.; Brooks, D.; Burke, D. L.; Rosell, A. Carnero; Kind, M. Carrasco; Cunha, C. E.; D’Andrea, C. B.; Costa, L. N. da; Desai, S.; Diehl, H. T.; Dietrich, J. P.; Doel, P.; Evrard, A. E.; Fernández, E.; Finley, D. A.; Flaugher, B.; Fosalba, P.; Frieman, J.; Gerdes, D. W.; Gruendl, R. A.; Gutiérrez, G.; Honscheid, K.; James, D. J.; Jarvis, Mike; Kuêhn, K.; Lahav, O.; Lima, M.; Maia, M. A. G.; Marshall, J. L.; Martini, Paul; Melchior, P.; Mohr, J. J.; Nichol, R. C.; Nord, B.; Plazas, A. A.; Reil, K.; Romer, A. K.; Roodman, A.; Sánchez, E.; Scarpine, V.; Sevilla-Noarbe, I.; Smith, R. C.; Soares-Santos, M.; Sobreira, F.; Suchyta, E.; Swanson, M. E. C.; Tarlè, G.; Thomas, Daniel; Vikram, V.; Walker, A. R.

doi:10.1093/mnras/stw2464

Cited by 68 publications

(76 citation statements)

References 118 publications

(195 reference statements)

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“…Thus, our main tests are against SP maps, which are particular to DES observations. Once we identify the most significant contaminant SP maps, we define weights to be applied to the galaxy sample in order to remove the dependency, following a method close to that of the latest LSS survey analysis [5,[46][47][48]. Note however that we identify systematics using a rigorous χ 2 threshold significance criteria, based on a large set of Gaussian realizations, which to our knowledge was not done before.…”

Section: B Systematic Correctionsmentioning

confidence: 99%

See 1 more Smart Citation

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

Elvin-Poole¹,

Crocce²,

Ross³

et al. 2018

Phys. Rev. D

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160

235

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We measure the clustering of DES year 1 galaxies that are intended to be combined with weak lensing samples in order to produce precise cosmological constraints from the joint analysis of large-scale structure and lensing correlations. Two-point correlation functions are measured for a sample of 6.6 × 10 5 luminous red galaxies selected using the REDMAGIC algorithm over an area of 1321 square degrees, in the redshift range 0.15 < z < 0.9, split into five tomographic redshift bins. The sample has a mean redshift uncertainty of σ z =ð1 þ zÞ ¼ 0.017. We quantify and correct spurious correlations induced by spatially variable survey properties, testing their impact on the clustering measurements and covariance. We demonstrate the sample's robustness by testing for stellar contamination, for potential biases that could arise from the systematic correction, and for the consistency between the two-point auto-and cross-correlation functions. We show that the corrections we apply have a significant impact on the resultant measurement of cosmological parameters, but that the results are robust against arbitrary choices in the correction method. We find the linear galaxy bias in each redshift bin in a fiducial cosmology to be bðσ 8 =0.81Þj z¼0.24 ¼ 1.40 AE 0.07, bðσ 8 =0.81Þj z¼0.38 ¼ 1.60 AE 0.05, bðσ 8 =0.81Þj z¼0.53 ¼ 1.60 AE 0.04 for galaxies with luminosities L=L Ã > 0.5, bðσ 8 =0.81Þj z¼0.68 ¼ 1.93 AE 0.04 for L=L Ã > 1 and bðσ 8 =0.81Þj z¼0.83 ¼ 1.98 AE 0.07 for L=L Ã > 1.5, broadly consistent with expectations for the redshift and luminosity dependence of the bias of red galaxies. We show these measurements to be consistent with the linear bias obtained from tangential shear measurements.

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Section: B Systematic Correctionsmentioning

confidence: 99%

“…The galaxy autocorrelation contains two factors of the galaxy bias and again two factors of the matter field. Thus, the combination of the two measurements can break the degeneracy between the two quantities, and it is a sensitive probe of the late-time matter field (see, e.g., [4,5]). …”

Section: Introductionmentioning

confidence: 99%

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

Elvin-Poole¹,

Crocce²,

Ross³

et al. 2018

Phys. Rev. D

Self Cite

160

235

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“…Typically the most extreme OWLs simulation is chosen, the AGN feedback scenario, such that the impact of baryonic effects is maximized to provide an upper bound. This technique was applied by the Dark Energy Survey Collaboration (2016) and Kwan et al (2017) to estimate the effect of baryonic physics on the power spectrum of cosmic shear and tangential shear for galaxy-galaxy lensing respectively.…”

Section: Range Of Validitymentioning

confidence: 99%

The Mira-Titan Universe. II. Matter Power Spectrum Emulation

Lawrence

Heitmann

Kwan

et al. 2017

ApJ

151

205

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We introduce a new cosmic emulator for the matter power spectrum covering eight cosmological parameters. Targeted at optical surveys, the emulator provides accurate predictions out to a wavenumber k ∼ 5Mpc −1 and redshift z ≤ 2. Besides covering the standard set of ΛCDM parameters, massive neutrinos and a dynamical dark energy of state are included. The emulator is built on a sample set of 36 cosmological models, carefully chosen to provide accurate predictions over the wide and large parameter space. For each model, we have performed a high-resolution simulation, augmented with sixteen medium-resolution simulations and TimeRG perturbation theory results to provide accurate coverage of a wide k-range; the dataset generated as part of this project is more than 1.2Pbyte. With the current set of simulated models, we achieve an accuracy of approximately 4%. Because the sampling approach used here has established convergence and error-control properties, follow-on results with more than a hundred cosmological models will soon achieve ∼ 1% accuracy. We compare our approach with other prediction schemes that are based on halo model ideas and remapping approaches. The new emulator code is publicly available. Subject headings: methods: statistical -cosmology: large-scale structure of the universe

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“…These catalogues have previously been used for several DES studies (see e.g. Becker et al 2016;Chang et al 2015;Leistedt et al 2016;Clampitt et al 2016b;Kwan et al 2017). The underlying N-body simulation is based on three cosmological boxes, a 1050 Mpc h −1 box with 1400 3 particles, a 2600 Mpc h −1 box with 2048 3 particles and a 4000 Mpc h −1 box with 2048 3 particles, which are combined along the LOS producing a light cone reaching DES full depth.…”

Section: Void Tracer Galaxies: the Redmagic Cataloguementioning

confidence: 99%

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

Sánchez

Clampitt

Kovács

et al. 2016

Mon. Not. R. Astron. Soc.

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112

121

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Cosmic voids are usually identified in spectroscopic galaxy surveys, where 3D information about the large-scale structure of the Universe is available. Although an increasing amount of photometric data is being produced, its potential for void studies is limited since photometric redshifts induce line-of-sight position errors of ≥50 Mpc h −1 which can render many voids undetectable. We present a new void finder designed for photometric surveys, validate it using simulations, and apply it to the high-quality photo-z redMaGiC galaxy sample of the DES Science Verification data. The algorithm works by projecting galaxies into 2D slices and finding voids in the smoothed 2D galaxy density field of the slice. Fixing the line-of-sight size of the slices to be at least twice the photo-z scatter, the number of voids found in simulated spectroscopic and photometric galaxy catalogues is within 20 per cent for all transverse void sizes, and indistinguishable for the largest voids (R v ≥ 70 Mpc h −1 ). The positions, radii, and projected galaxy profiles of photometric voids also accurately match the spectroscopic void sample. Applying the algorithm to the DES-SV data in the redshift range 0.2 < z < 0.8, we identify 87 voids with comoving radii spanning the range 18-120 Mpc h −1 , and carry out a stacked weak lensing measurement. With a significance of 4.4σ , the lensing measurement confirms that the voids are truly underdense in the matter field and hence not a product of

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Cosmology from large-scale galaxy clustering and galaxy–galaxy lensing with Dark Energy Survey Science Verification data

Cited by 68 publications

References 118 publications

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

The Mira-Titan Universe. II. Matter Power Spectrum Emulation

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

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