4.7 Article

Testing cosmological structure formation using redshift-space distortions

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 393, Issue 1, Pages 297-308

Publisher

OXFORD UNIV PRESS
DOI: 10.1111/j.1365-2966.2008.14211.x

Keywords

large-scale structure of Universe

Funding

  1. STFC
  2. Leverhulme Trust
  3. European Research Council
  4. NASA
  5. STFC [ST/F002335/1, PP/E001033/1] Funding Source: UKRI
  6. Science and Technology Facilities Council [ST/F002335/1, PP/C50613X/1, PP/E001033/1] Funding Source: researchfish

Ask authors/readers for more resources

Observations of redshift-space distortions in spectroscopic galaxy surveys offer an attractive method for observing the build-up of cosmological structure. In this paper, we develop and test a new statistic based on anisotropies in the measured galaxy power spectrum, which is independent of galaxy bias and matches the matter power spectrum shape on large scales. The amplitude provides a constraint on the derivative of the linear growth rate through f sigma(8)(mass). This demonstrates that spectroscopic galaxy surveys offer many of the same advantages as weak lensing surveys, in that they both use galaxies as test particles to probe all matter in the Universe. They are complementary as redshift-space distortions probe non-relativistic velocities and therefore the temporal metric perturbations, while weak lensing tests the sum of the temporal and spatial metric perturbations. The degree to which our estimator can be pushed into the non-linear regime is considered and we show that a simple Gaussian damping model, similar to that previously used to model the behaviour of the power spectrum on very small scales, can also model the quasi-linear behaviour of our estimator. This enhances the information that can be extracted from surveys for A cold dark matter (ACDM) models.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available