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Measuring redshift-space distortion with future SKA surveys

Raccanelli, Alvise and Bull, Philip and Camera, Stefano and Bacon, David and Blake, Chris and Doré, Olivier and Ferreira, Pedro and Maartens, Roy and Santos, Mario and Viel, Matteo and Zhao, Gong-Bo (2015) Measuring redshift-space distortion with future SKA surveys. In: Advancing Astrophysics with the Square Kilometre Array. Proceedings of Science. Vol.215. SISSA , Trieste, Italy, Art. No. 031. ISBN 9781909204706.

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The peculiar motion of galaxies can be a particularly sensitive probe of gravitational collapse. As such, it can be used to measure the dynamics of dark matter and dark energy as well the nature of the gravitational laws at play on cosmological scales. Peculiar motions manifest themselves as an overall anisotropy in the measured clustering signal as a function of the angle to the line-ofsight, known as redshift-space distortion (RSD). Limiting factors in this measurement include our ability to model non-linear galaxy motions on small scales and the complexities of galaxy bias. The anisotropy in the measured clustering pattern in redshift-space is also driven by the unknown distance factors at the redshift in question, the Alcock-Paczynski distortion. This weakens growth rate measurements, but permits an extra geometric probe of the Hubble expansion rate. In this short chapter we will briefly describe the scientific background to the RSD technique, and forecast the potential of the SKA phase 1 and the SKA2 to measure the growth rate using both galaxy catalogues and intensity mapping, assessing their competitiveness with current and future optical galaxy surveys.

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Doré, Olivier0000-0002-5009-7563
Additional Information:© 2015 owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-ShareAlike. Published on: 2015 May 29.
Series Name:Proceedings of Science
Record Number:CaltechAUTHORS:20180821-093521315
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:88977
Deposited By: Tony Diaz
Deposited On:21 Aug 2018 18:31
Last Modified:03 Oct 2019 20:12

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