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Title: Galaxy bias from galaxy–galaxy lensing in the DES science verification data

Journal Article · · Monthly Notices of the Royal Astronomical Society

We present a measurement of galaxy-galaxy lensing around a magnitude-limited ($$i_{AB} < 22.5$$) sample of galaxies 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). 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<0.8$$, defined with the photometric-redshift algorithm BPZ. Using a different code to split the lens sample, TPZ, leads to changes in the measured biases at the 10-20\% level, but it does not alter the main conclusion of this work: when comparing with Crocce et al. (2016) we do not find strong evidence for a cross-correlation parameter significantly below one in this galaxy sample, except possibly at the lowest redshift bin ($$z\sim 0.3$), where we find $$r = 0.71 \pm 0.11$$ when using TPZ, and $$0.83 \pm 0.12$$ with BPZ.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
The DES Collaboration; DES
Grant/Contract Number:
AC05-00OR22725; AC02-07CH11359
OSTI ID:
1409251
Alternate ID(s):
OSTI ID: 1362055
Report Number(s):
FERMILAB-PUB-16-389-AE; arXiv:1609.08167; 105601; TRN: US1703191
Journal Information:
Monthly Notices of the Royal Astronomical Society, Vol. 473, Issue 2; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 13 works
Citation information provided by
Web of Science

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Cited By (8)

KiDS+2dFLenS+GAMA: testing the cosmological model with the EG statistic journal June 2018
Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data journal October 2018
Dark Energy Survey year 1 results: Galaxy-galaxy lensing journal August 2018
Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing text January 2017
Dark Energy Survey Year 1 Results: Galaxy-Galaxy Lensing text January 2017
Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data text January 2017
KiDS+2dFLenS+GAMA: Testing the cosmological model with the $E_{\rm G}$ statistic text January 2017
Measuring Linear and Non-linear Galaxy Bias Using Counts-in-Cells in the Dark Energy Survey Science Verification Data text January 2018