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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Redshift-space clustering anisotropies caused by cosmic peculiar velocitiesprovide a powerful probe to test the gravity theory on large scales. However,to extract unbiased physical constraints, the clustering pattern has to bemodelled accurately, taking into account the effects of non-linear dynamics atsmall scales, and properly describing the link between the selected cosmictracers and the underlying dark matter field. We use a large hydrodynamicsimulation to investigate how the systematic error on the linear growth rate,$f$, caused by model uncertainties, depends on sample selections and comovingscales. Specifically, we measure the redshift-space two-point correlationfunction of mock samples of galaxies, galaxy clusters and Active GalacticNuclei, extracted from the Magneticum simulation, in the redshift range 0.2 < z< 2, and adopting different sample selections. We estimate $f\sigma_8$ bymodelling both the monopole and the full two-dimensional anisotropicclustering, using the dispersion model. We find that the systematic error on$f\sigma_8$ depends significantly on the range of scales considered for thefit. If the latter is kept fixed, the error depends on both redshift and sampleselection, due to the scale-dependent impact of non-linearities, if notproperly modelled. On the other hand, we show that it is possible to getunbiased constraints on $f\sigma_8$ provided that the analysis is restricted toa proper range of scales, that depends non trivially on the properties of thesample. This can have a strong impact on multiple tracers analyses, and whencombining catalogues selected at different redshifts.

astronomy and astrophysics

Redshift-space distortions of galaxies, clusters and AGN: testing how  the accuracy of growth rate measurements depends on scales and sample  selections