Galaxy bias from galaxy-galaxy lensing in the DES Science Verification Data

Author
Prat, J · Sánchez, C · Miquel, R · Kwan, J · Blazek, J · Bonnett, C · Amara, A · Bridle, S. L · Clampitt, J · Crocce, M · Fosalba, P · Gaztanaga, E · Giannantonio, T · Hartley, W. G · Jarvis, M · MacCrann, N · Percival, W. J · Ross, A. J · Sheldon, E · Zuntz, J · Abbott, T. M. C · Abdalla, F. B · Annis, J · Benoit-Lévy, A · Bertin, E · Brooks, D · Burke, D. L · Rosell, A. Carnero · Kind, M. Carrasco · Carretero, J et al.
Year 2016
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Abstract

We present a measurement of galaxy-galaxy lensing around a magnitude-limited ($i_{AB} < 22.5$) sample of galaxies selected from the Dark Energy Survey Science Verification (DES-SV) data. We split these lenses into three photometric-redshift bins from 0.2 to 0.8, and determine the product of the galaxy bias $b$ and cross-correlation coefficient between the galaxy and dark matter overdensity fields $r$ in each bin, using scales above 4 Mpc/$h$ comoving, where we find the linear bias model to be valid given our current uncertainties. We compare our galaxy bias results from galaxy-galaxy lensing with those obtained from galaxy clustering (Crocce et al. 2016) and CMB lensing (Giannantonio et al. 2016) for the same sample of galaxies, and find our measurements to be in good agreement with those in Crocce et al. (2016), while, in the lowest redshift bin ($z\sim0.3$), they show some tension with the findings in Giannantonio et al. (2016). Our results are found to be rather insensitive to a large range of systematic effects. We measure $b\cdot r$ to be $0.87\pm 0.11$, $1.12 \pm 0.16$ and $1.24\pm 0.23$, respectively for the three redshift bins of width $\Delta z = 0.2$ in the range $0.2

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Title
Galaxy bias from galaxy-galaxy lensing in the DES Science Verification Data
Author
Prat, J · Sánchez, C · Miquel, R · Kwan, J · Blazek, J · Bonnett, C · Amara, A · Bridle, S. L · Clampitt, J · Crocce, M · Fosalba, P · Gaztanaga, E · Giannantonio, T · Hartley, W. G · Jarvis, M · MacCrann, N · Percival, W. J · Ross, A. J · Sheldon, E · Zuntz, J · Abbott, T. M. C · Abdalla, F. B · Annis, J · Benoit-Lévy, A · Bertin, E · Brooks, D · Burke, D. L · Rosell, A. Carnero · Kind, M. Carrasco · Carretero, J · Castander, F. J · da Costa, L. N · DePoy, D. L · Desai, S · Diehl, H. T · Doel, P · Eifler, T. F · Evrard, A. E · Neto, A. Fausti · Flaugher, B · Frieman, J · Gerdes, D. W · Gruen, D · Gruendl, R. A · Gutierrez, G · Honscheid, K · James, D. J · Kuehn, K · Kuropatkin, N · Lahav, O · Lima, M · Marshall, J. L · Melchior, P · Menanteau, F · Nord, B · Plazas, A. A · Reil, K · Romer, A. K · Roodman, A · Sanchez, E · Scarpine, V · Schubnell, M · Sevilla-Noarbe, I · Smith, R. C · Soares-Santos, M · Sobreira, F · Suchyta, E · Swanson, M. E. C · Tarle, G · Thomas, D · Walker, A. R
Year
2016
Type
Research Article
Language
eng
Comment
18 pages, 8 figures, submitted to MNRAS
History
2016-09-26 00:00:00
This is Version 1 of this record. We added this version on September 29, 2016. This version is based on an original data import from arXiv.org e-Print archive.