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Cosmology on the Largest Scales with the SKA

Camera, Stefano and Raccanelli, Alvise and Bull, Philip and Bertacca, Daniele and Chen, Xuelei and Ferreira, Pedro G. and Kunz, Martin and Maartens, Roy and Mao, Yi and Santos, Mário G. and Shapiro, Paul R. and Viel, Matteo and Xu, Yidong (2015) Cosmology on the Largest Scales with the SKA. In: Advancing Astrophysics with the Square Kilometre Array. Proceedings of Science. Vol.215. SISSA , Trieste, Italy, Art. No. 025. ISBN 9781909204706. http://resolver.caltech.edu/CaltechAUTHORS:20180821-093024581

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Abstract

The study of the Universe on ultra-large scales is one of the major science cases for the Square Kilometre Array (SKA). The SKA will be able to probe a vast volume of the cosmos, thus representing a unique instrument, amongst next-generation cosmological experiments, for scrutinising the Universe’s properties on the largest cosmic scales. Probing cosmic structures on extremely large scales will have many advantages. For instance, the growth of perturbations is well understood for those modes, since it falls fully within the linear régime. Also, such scales are unaffected by the poorly understood feedback of baryonic physics. On ultra-large cosmic scales, two key effects become significant: primordial non-Gaussianity and relativistic corrections to cosmological observables. Moreover, if late-time acceleration is driven not by dark energy but by modifications to general relativity, then such modifications should become apparent near and above the horizon scale. As a result, the SKA is forecast to deliver transformational constraints on non-Gaussianity and to probe gravity on super-horizon scales for the first time.


Item Type:Book Section
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https://doi.org/10.22323/1.215.0025DOIArticle
Additional Information:© 2015 owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-ShareAlike. Published on: 2015 May 29.
Record Number:CaltechAUTHORS:20180821-093024581
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20180821-093024581
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:88976
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:21 Aug 2018 18:32
Last Modified:21 Aug 2018 18:32

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