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KiDS+GAMA: Cosmology constraints from a joint analysis of cosmic shear, galaxy-galaxy lensing and angular clustering | | Edo van Uitert
; Benjamin Joachimi
; Shahab Joudaki
; Catherine Heymans
; Fabian Köhlinger
; Marika Asgari
; Chris Blake
; Ami Choi
; Thomas Erben
; Daniel J. Farrow
; Joachim Harnois-Déraps
; Hendrik Hildebrandt
; Henk Hoekstra
; Thomas D. Kitching
; Dominik Klaes
; Konrad Kuijken
; Julian Merten
; Lance Miller
; Reiko Nakajima
; Peter Schneider
; Edwin Valentijn
; Massimo Viola
; | | Date: |
15 Jun 2017 | | Abstract: | We present cosmological parameter constraints from a joint analysis of three
cosmological probes: the tomographic cosmic shear signal in $sim$450 deg$^2$
of data from the Kilo Degree Survey (KiDS), the galaxy-matter cross-correlation
signal of galaxies from the Galaxies And Mass Assembly (GAMA) survey determined
with KiDS weak lensing, and the angular correlation function of the same GAMA
galaxies. We use fast power spectrum estimators that are based on simple
integrals over the real-space correlation functions, and show that they are
unbiased over relevant angular frequency ranges. We test our full pipeline on
numerical simulations that are tailored to KiDS and retrieve the input
cosmology. By fitting different combinations of power spectra, we demonstrate
that the three probes are internally consistent. For all probes combined, we
obtain $S_8equiv sigma_8 sqrt{Omega_{
m m}/0.3}=0.801pm0.032$, consistent
with Planck and the fiducial KiDS-450 cosmic shear correlation function
results. The combination of probes results in a 21% reduction in uncertainties
over using the cosmic shear power spectra alone. The main gain from these
additional probes comes through their constraining power on nuisance
parameters, such as the galaxy intrinsic alignment amplitude or potential
shifts in the redshift distributions, which are up to a factor of two better
constrained compared to using cosmic shear alone, demonstrating the value of
large-scale structure probe combination. | | Source: | arXiv, 1706.5004 | | Services: | Forum | Review | PDF | Favorites | |
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