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Accurate predictions for the scale-dependent galaxy bias from primordial non-Gaussianity

Desjacques, Vincent and Jeong, Donghui and Schmidt, Fabian (2011) Accurate predictions for the scale-dependent galaxy bias from primordial non-Gaussianity. Physical Review D, 84 (6). Art. No. 061301. ISSN 2470-0010.

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The large-scale clustering of galaxies can serve as a probe of primordial non-Gaussianity in the Universe competitive with the anisotropies of the cosmic microwave background. Here, we present improved theoretical predictions which include an important, previously overlooked correction to the bias. We demonstrate that the new predictions are able to reproduce the results of N-body simulations, explaining the significant departures seen from previous theoretical results. These refined predictions open the way to accurate constraints on primordial physics with large-scale structure surveys.

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Additional Information:© 2011 American Physical Society. Received 20 May 2011; published 6 September 2011. We would like to thank S. Shandera and C. Wagner for providing the data shown in Fig. 1 and Fig. 2, respectively. D. J. and F. S. are supported by the Gordon and Betty Moore Foundation at Caltech. V. D. is supported by the Swiss National Foundation under Contract Nos. 200021-116696/1 and FK UZH 57184001.
Group:Moore Center for Theoretical Cosmology and Physics
Funding AgencyGrant Number
Gordon and Betty Moore FoundationUNSPECIFIED
Swiss National Foundation200021-116696/1
Swiss National FoundationFK UZH 57184001
Issue or Number:6
Classification Code:PACS: 98.80.Es, 95.80.+p, 98.65.Cw, 98.65.Dx
Record Number:CaltechAUTHORS:20110927-112035978
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Official Citation:Accurate predictions for the scale-dependent galaxy bias from primordial non-Gaussianity Vincent Desjacques, Donghui Jeong, and Fabian Schmidt Published 6 September 2011 (5 pages) 061301
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:25446
Deposited By: Ruth Sustaita
Deposited On:27 Sep 2011 18:38
Last Modified:03 Oct 2019 03:06

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