COMPLEMENTARITY OF PECULIAR VELOCITY SURVEYS AND REDSHIFT SPACE DISTORTIONS FOR TESTING GRAVITY
| dc.contributor.author | Kim, Alex G. | |
| dc.contributor.author | Linder, Eric V. | |
| dc.date.accessioned | 2022-07-05T10:42:01Z | |
| dc.date.available | 2022-07-05T10:42:01Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Peculiar-velocity surveys of the low-redshift universe have significant leverage to constrain the growth rate of cosmic structure and test gravity. Wide-field imaging surveys combined with multiobject spectrographs [e.g., ZTF2, Large Synoptic Survey Telescope (LSST), DESI, and 4MOST] can use type Ia supernovae as informative tracers of the velocity field, reaching few percent constraints on the growth rate fσ8 at z ≲ 0.2 where density tracers cannot do better than ∼10%. Combining the high-redshift DESI survey mapping redshift space distortions with a low-redshift supernova peculiar velocity survey using LSST and DESI can determine the gravitational growth index to σðγÞ ≈ 0.02, testing general relativity. We study the characteristics needed for the peculiar velocity survey, and how its complementarity with clustering surveys improves when going from a ΛCDM model assumption to a w0–wa cosmology | en_US |
| dc.identifier.citation | Kim, A. G., & Linder, E. V. (2020). Complementarity of peculiar velocity surveys and redshift space distortions for testing gravity. Physical Review D, 101(2). https://doi.org/10.1103/physrevd.101.023516 | en_US |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/6373 | |
| dc.language.iso | en | en_US |
| dc.publisher | PHYSICAL REVIEW D | en_US |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
| dc.subject | Type of access: Open Access | en_US |
| dc.subject | Cosmology | en_US |
| dc.subject | gravity | en_US |
| dc.title | COMPLEMENTARITY OF PECULIAR VELOCITY SURVEYS AND REDSHIFT SPACE DISTORTIONS FOR TESTING GRAVITY | en_US |
| dc.type | Article | en_US |
| workflow.import.source | science |