English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The combination of Galaxy-Galaxy Lensing (GGL) and Redshift Space Distortionof galaxy clustering (RSD) is a privileged technique to test General Relativitypredictions, and break degeneracies between the growth rate of structureparameter $f$ and the amplitude of the linear power-spectrum $\sigma_8$. Weperform a joint GGL and RSD analysis on 250 sq. degrees using shape cataloguesfrom CFHTLenS and CFHT-Stripe 82, and spectroscopic redshifts from the BOSSCMASS sample. We adjust a model that includes non-linear biasing, RSD andAlcock-Paczynski effects. We find $f(z=0.57) =0.95\pm0.23$,$\sigma_8(z=0.57)=0.55\pm0.07$ and $\Omega_{\rm m} = 0.31\pm0.08$, in agreementwith Planck cosmological results 2018. We also estimate the probe of gravity$E_{\rm G} = 0.43\pm0.10$ in agreement with $\Lambda$CDM-GR predictions of$E_{\rm G} = 0.40$. This analysis reveals that RSD efficiently decreases theGGL uncertainty on $\Omega_{\rm m}$ by a factor of 4, and by 30\% on$\sigma_8$. We use an N-body simulation supplemented by an abundance matchingprescription for CMASS to build a set of overlapping lensing and clusteringmocks. Together with additional spectroscopic data, this helps us to quantifyand correct several systematic errors, such as photometric redshifts. We makeour mock catalogues available on the Skies and Universe database.

Testing gravity with galaxy-galaxy lensing and redshift-space distortions using CFHT-Stripe 82, CFHTLenS and BOSS CMASS datasets