Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies

Hoyle, B.; Gruen, D.; Bernstein, G. M.; Rau, Markus; Vicente, J. De; Hartley, W. G.; Gaztañaga, E.; DeRose, Joseph J.; Troxel, M. A.; Davis, C.; Alarcón, A.; MacCrann, N.; Prat, J.; Sánchez, C.; Sheldon, E.; Wechsler, Risa H.; Asorey, J.; Becker, M. R.; Bonnett, C.; Rosell, A. Carnero; Carollo, D.; Kind, M. Carrasco; Castander, F. J.; Cawthon, R.; Chang, C. L.; Childress, M.; Davis, Tamara M.; Drlica-Wagner, A.; Gatti, M.; Glazebrook, Karl; Gschwend, J.; Hinton, S. R.; Hoormann, J. K.; Kim, A G; King, A.; Kuêhn, K.; Lewis, Geraint F.; Lidman, C.; Lin, Huan; Macaulay, E.; Maia, M. A. G.; Martini, Paul; Mudd, D.; Möller, A.; Nichol, R. C.; Ogando, R. L. C.; Rollins, R. P.; Roodman, A.; Ross, Ashley J.; Rozo, Eduardo; Rykoff, E. S.; Samuroff, S.; Sevilla-Noarbe, I.; Sharp, Robert; Sommer, N. E.; Tucker, B.; Uddin, S. A.; Varga, T. N.; Vielzeuf, P.; Yuan, F.; Zhang, B.; Abbott, T. M. C.; Abdalla, F. B.; Allam, S.; Annis, J.; Bechtol, K.; Benoit-Lévy, A.; Bertin, E.; Brooks, D.; Buckley-Geer, E.; Burke, D. L.; Busha, Michael T.; Capozzi, D.; Carretero, J.; Crocce, M.; D’Andrea, C. B.; Costa, L. N. da; DePoy, D. L.; Desai, S.; Diehl, H. T.; Doel, P.; Eifler, T. F.; Estrada, J.; Evrard, A. E.; Fernández, E.; Flaugher, B.; Fosalba, P.; Frieman, Joshua A.; García-Bellido, J.; Gerdes, D. W.; Giannantonio, T.; Goldstein, Daniel A.; Gruendl, R. A.; Gutiérrez, G.; Honscheid, K.; James, D. J.; Jarvis, Mike; Jeltema, T.; Johnson, M. W. G.; Johnson, Michael D.; Kirk, D.; Krause, E.; Kuhlmann, S.; Kuropatkin, N.; Lahav, O.; Li, T S; Lima, M.; March, M.; Marshall, J. L.; Melchior, P.; Menanteau, F.; Miquel, R.; Nord, B.; O’Neill, C. R.; Plazas, A. A.; Romer, A. K.; Šako, M.; Sánchez, E.; Santiago, B.; Scarpine, V.; Schindler, R. H.; Schubnell, M.; Smith, M.; Smith, R. C.; Soares-Santos, M.; Sobreira, F.; Suchyta, E.; Swanson, M. E. C.; Tarlè, G.; Thomas, Daniel; Tucker, D. L.; Vikram, V.; Walker, A. R.; Weller, J.; Wester, W.; Wolf, R. C.; Yanny, B.; Zuntz, Joe

doi:10.1093/mnras/sty957

Cited by 207 publications

(262 citation statements)

References 66 publications

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“…Both the shear calibration biases associated with the shear catalogs and the biases in the photo-z catalog are well characterized in Hoyle et al (2018) and Zuntz et al (2017). We do not account for these in the modeling, since it mainly contributes to a scale-independent multiplicative factor at ∼2% and does not impact the inference of the splashback feature.…”

Section: The Weak Lensing Shear and Photo-z Catalogsmentioning

confidence: 88%

“…We use the photo-z catalog described in Hoyle et al (2018), which is based on the template-based Bayesian photometric redshifts (BPZ) algorithm (Benítez 2000). Following T. McClintock et al (2018, in preparation), we use both the mean of the probability density function (PDF) and a random draw from the full PDF for each galaxy when estimating the weak lensing mass profile.…”

Section: The Weak Lensing Shear and Photo-z Catalogsmentioning

confidence: 99%

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The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles

Chang¹,

Baxter²,

Jain³

et al. 2018

ApJ

102

131

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Splashback refers to the process of matter that is accreting onto a dark matter halo reaching its first orbital apocenter and turning around in its orbit. The clustercentric radius at which this process occurs, r sp , defines a halo boundary that is connected to the dynamics of the cluster. A rapid decline in the halo profile is expected near r sp . We measure the galaxy number density and weak lensing mass profiles around REDMAPPER galaxy clusters in the first-year Dark Energy Survey (DES) data. For a cluster sample with mean M 200m mass ≈2.5×1014 M e , we find strong evidence of a splashback-like steepening of the galaxy density profile and measure r sp =1.13± 0.07 h −1 Mpc, consistent with the earlier Sloan Digital Sky Survey measurements of More et al. and Baxter et al. Moreover, our weak lensing measurement demonstrates for the first time the existence of a splashback-like steepening of the matter profile of galaxy clusters. We measure r sp =1.34±0.21 h −1 Mpc from the weak lensing data, in good agreement with our galaxy density measurements. For different cluster and galaxy samples, we find that, consistent with ΛCDM simulations, r sp scales with R 200m and does not evolve with redshift over the redshift range of 0.3-0.6. We also find that potential systematic effects associated with the REDMAPPER algorithm may impact the location of r sp . We discuss the progress needed to understand the systematic uncertainties and fully exploit forthcoming data from DES and future surveys, emphasizing the importance of more realistic mock catalogs and independent cluster samples.

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Section: The Weak Lensing Shear and Photo-z Catalogsmentioning

confidence: 88%

Section: The Weak Lensing Shear and Photo-z Catalogsmentioning

confidence: 99%

The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles

Chang¹,

Baxter²,

Jain³

et al. 2018

ApJ

102

131

View full text Add to dashboard Cite

show abstract

“…The fiducial photometric redshifts used in this work are estimated with a modified version of the Bayesian photometric redshifts (BPZ) code [34,51]. BPZ defines the mapping between color and redshift by drawing upon physical knowledge of stellar population models, galaxy evolution and empirical spectral energy distributions of galaxies at a range of redshifts.…”

Section: Photometric Redshifts For the Source Samplementioning

confidence: 99%

“…Instead, we rely on complementary comparisons to (1) matched COSMOS high-precision photometric redshifts and (2) constraints on our redshift distributions from DES galaxy clustering cross-correlations. We refer the reader to the four dedicated redshift papers [34][35][36]52]. In addition, in this work we will provide further independent validation of their calibration, using weak gravitational lensing (Sec.…”

Section: Photometric Redshifts For the Source Samplementioning

confidence: 99%

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Dark Energy Survey year 1 results: Galaxy-galaxy lensing

Prat¹,

Sánchez²,

Fang³

et al. 2018

Phys. Rev. D

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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Weak Lensing by Large-Scale Structure

Congdon

Keeton

2018

Principles of Gravitational Lensing

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Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies

Cited by 207 publications

References 66 publications

The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles

The Splashback Feature around DES Galaxy Clusters: Galaxy Density and Weak Lensing Profiles

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

Weak Lensing by Large-Scale Structure

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