Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing

Bonnett, C.; Troxel, M. A.; Hartley, W. G.; Amara, Adam; Leistedt, Boris; Becker, M. R.; Bernstein, G. M.; Bridle, Sarah; Bruderer, C.; Busha, Michael T.; Kind, M. Carrasco; Childress, M.; Castander, F. J.; Chang, C.; Crocce, M.; Davis, Tamara M.; Eifler, T. F.; Frieman, J.; Gangkofner, C.; Gaztañaga, E.; Glazebrook, Karl; Gruen, David; Kacprzak, T.; King, A.; Kwan, Juliana; Lahav, O.; Lewis, Geraint F.; Lidman, C.; Lin, Huan; MacCrann, N.; Miquel, R.; O’Neill, C. R.; Palmese, A.; Peiris, Hiranya V.; Réfrégier, Alexandre; Rozo, Eduardo; Rykoff, E. S.; Sadeh, I.; Sánchez, C.; Sheldon, E.; Uddin, S. A.; Wechsler, Risa H.; Zuntz, Joe; Abbott, T. D.; Abdalla, F. B.; Allam, S.; Armstrong, R.; Banerji, M.; Bauer, A.; Benoit-Lévy, A.; Bertin, E.; Brooks, D.; Buckley-Geer, E.; Burke, D. L.; Capozzi, D.; Rosell, A. Carnero; Carretero, J.; Cunha, C. E.; D’Andrea, C. B.; Costa, L. N. da; DePoy, D. L.; Desai, S.; Diehl, H. T.; Dietrich, J. P.; Doel, P.; Neto, A. Fausti; Fernández, E.; Flaugher, B.; Fosalba, P.; Gerdes, D. W.; Gruendl, R. A.; Honscheid, K.; Jain, Bhuvnesh; James, D. J.; Jarvis, M.; Kim, A. G.; Kuêhn, K.; Kuropatkin, N.; Li, T. S.; Lima, M.; Maia, M. A. G.; March, M.; Marshall, J. L.; Martini, Paul; Melchior, P.; Miller, Christopher J.; Neilsen, Eric H.; Nichol, R. C.; Nord, B.; Ogando, R. L. C.; Plazas, A. A.; Reil, K.; Romer, A. K.; Roodman, A.; Šako, M.; Sánchez, E.; Santiago, B.; Smith, R. C.; Soares-Santos, M.; Sobreira, F.; Suchyta, E.; Swanson, M. E. C.; Tarlè, G.; Thaler, J. J.; Thomas, Daniel; Vikram, V.; Walker, A. R.

doi:10.1103/physrevd.94.042005

Cited by 147 publications

(135 citation statements)

References 82 publications

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“…Photometric data for the host galaxies of the DES3YR cosmology analysis (Brout et al 2019b; DES Collaboration 2019) were determined from the DES SVA1-GOLD catalogue. This catalogue, has 10σ limiting magnitudes of (g, r, i, z) = (24.0, 23.8, 23.0, 22.3), as described in Rykoff et al (2016) and Bonnett et al (2016). It was constructed from DES Science Verification (SV) data collected prior to the DES-SN data used in the DES3YR sample.…”

Section: Host Galaxy Photometrymentioning

confidence: 99%

First cosmology results using type Ia supernovae from the Dark Energy Survey: the effect of host galaxy properties on supernova luminosity

Smith

Sullivan

Wiseman

et al. 2020

Monthly Notices of the Royal Astronomical Society

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We present improved photometric measurements for the host galaxies of 206 spectroscopically confirmed type Ia supernovae discovered by the Dark Energy Survey Supernova Program (DES-SN) and used in the first DES-SN cosmological analysis. Fitting spectral energy distributions to the griz photometric measurements of the DES-SN host galaxies, we derive stellar masses and star-formation rates. For the DES-SN sample, when considering a 5D (z, x 1 , c, α, β) bias correction, we find evidence of a Hubble residual 'mass step', where SNe Ia in high mass galaxies (> 10 10 M ) are intrinsically more luminous (after correction) than their low mass counterparts by γ = 0.040 ± 0.019mag. This value is consistent with other recent supernova samples that use a 5D correction, and is larger by 0.031mag than the value found in the first DES-SN cosmological analysis. This difference is due to a combination of updated photometric measurements and improved star formation histories and is not from hostgalaxy misidentification. When using a 1D (redshift-only) bias correction the inferred mass step is larger, with γ = 0.066 ± 0.020mag. The 1D-5D γ difference for DES-SN is 0.026 ± 0.009mag. We show that this difference is due to a strong correlation between host galaxy stellar mass and the x 1 component of the 5D distance-bias correction. To better understand this effect, we include an intrinsic correlation between light-curve width and stellar mass in simulated SN Ia samples. We show that a 5D fit recovers γ with −9mmag bias compared to a +2mmag bias for a 1D fit. This difference can explain part of the discrepancy seen in the data. Improvements in modeling correlations between galaxy properties and SN is necessary to determine the implications for γ and ensure unbiased precision estimates of the dark energy equation-of-state as we enter the era of LSST.

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Section: Host Galaxy Photometrymentioning

confidence: 99%

First cosmology results using type Ia supernovae from the Dark Energy Survey: the effect of host galaxy properties on supernova luminosity

Smith

Sullivan

Wiseman

et al. 2020

Monthly Notices of the Royal Astronomical Society

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“…The resulting constraints are shown in Fig. 13, illustrating that differences in the shape of the redshift distribution are subdominant for cosmic shear when matching the mean at the current statistical precision (see also [147]). The independent constraint from clustering cross-correlations is unavailable in the fourth redshift bin, because the REDMAGIC sample ends at redshift z ¼ 0.9.…”

Section: Photometric Redshift Comparisonmentioning

confidence: 99%

Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear

Troxel¹,

MacCrann²,

Zuntz³

et al. 2018

Phys. Rev. D

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566

564

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We use 26 × 10 6 galaxies from the Dark Energy Survey (DES) Year 1 shape catalogs over 1321 deg 2 of the sky to produce the most significant measurement of cosmic shear in a galaxy survey to date. We constrain cosmological parameters in both the flat ΛCDM and the wCDM models, while also varying the neutrino mass density. These results are shown to be robust using two independent shape catalogs, two independent photo-z calibration methods, and two independent analysis pipelines in a blind analysis. We find a 3.5% fractional uncertainty on σ 8 ðΩ m =0.3Þ 0.5 ¼ 0.782 −0.39 . We find results that are consistent with previous cosmic shear constraints in σ 8 -Ω m , and we see no evidence for disagreement of our weak lensing data with data from the cosmic microwave background. Finally, we find no evidence preferring a wCDM model allowing w ≠ −1. We expect further significant improvements with subsequent years of DES data, which will more than triple the sky coverage of our shape catalogs and double the effective integrated exposure time per galaxy.

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“…The performance and accuracy of these estimates was extensively tested with science verification (SV) data, using a variety of photometric redshift algorithms and matched spectroscopy from different surveys [49,50].…”

Section: Photometric Redshifts For the Source Samplementioning

confidence: 99%

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

Prat¹,

Sánchez²,

Fang³

et al. 2018

Phys. Rev. D

Self Cite

105

106

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We present galaxy-galaxy lensing measurements from 1321 sq. deg. of the Dark Energy Survey (DES) Year 1 (Y1) data. The lens sample consists of a selection of 660,000 red galaxies with high-precision photometric redshifts, known as redMaGiC, split into five tomographic bins in the redshift range 0.15 < z < 0.9. We use two different source samples, obtained from the METACALIBRATION (26 million galaxies) and IM3SHAPE (18 million galaxies) shear estimation codes, which are split into four photometric redshift bins in the range 0.2 < z < 1.3. We perform extensive testing of potential systematic effects that can bias the galaxy-galaxy lensing signal, including those from shear estimation, photometric redshifts, and * Corresponding author. jprat@ifae.es † Corresponding author. csanchez@ifae.es J. PRAT et al. PHYS. REV. D 98, 042005 (2018) 042005-2 observational properties. Covariances are obtained from jackknife subsamples of the data and validated with a suite of log-normal simulations. We use the shear-ratio geometric test to obtain independent constraints on the mean of the source redshift distributions, providing validation of those obtained from other photo-z studies with the same data. We find consistency between the galaxy bias estimates obtained from our galaxy-galaxy lensing measurements and from galaxy clustering, therefore showing the galaxymatter cross-correlation coefficient r to be consistent with one, measured over the scales used for the cosmological analysis. The results in this work present one of the three two-point correlation functions, along with galaxy clustering and cosmic shear, used in the DES cosmological analysis of Y1 data, and hence the methodology and the systematics tests presented here provide a critical input for that study as well as for future cosmological analyses in DES and other photometric galaxy surveys.

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Redshift distributions of galaxies in the Dark Energy Survey Science Verification shear catalogue and implications for weak lensing

Cited by 147 publications

References 82 publications

First cosmology results using type Ia supernovae from the Dark Energy Survey: the effect of host galaxy properties on supernova luminosity

First cosmology results using type Ia supernovae from the Dark Energy Survey: the effect of host galaxy properties on supernova luminosity

Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

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