Designer cosmology

Bassett, Bruce A., Parkinson, David and Nichol, Robert C. (2005) Designer cosmology. The Astrophysical Journal, 626 1: L1-L4. doi:10.1086/431650

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Author Bassett, Bruce A.
Parkinson, David
Nichol, Robert C.
Title Designer cosmology
Journal name The Astrophysical Journal   Check publisher's open access policy
ISSN 0004-637X
1538-4357
Publication date 2005-06-10
Sub-type Article (original research)
DOI 10.1086/431650
Open Access Status File (Publisher version)
Volume 626
Issue 1
Start page L1
End page L4
Total pages 4
Place of publication Philadelphia, PA, United States
Publisher Institute of Physics Publishing
Language eng
Formatted abstract
The IPSO framework allows us to optimally design experiments and surveys. We discuss the utility of IPSO with a simplified 10-parameter MCMC D-optimization of a dark energy survey. The resulting optimal number of redshift bins is typically two or three, all situated at z < 2. By exploiting optimization we show how the statistical power of the survey is significantly enhanced. Experiment design is aided by the richness of the figure of merit landscape that shows strong degeneracies, which means one can impose secondary optimization criteria at little cost. For example, one may choose either to maximally test a single model (e.g., ΛCDM) or to get the best model-independent constraints possible (e.g., on a whole space of dark energy models). Such bifurcations point to a future where cosmological experiments become increasingly specialized and optimization increasingly important.
Keyword Cosmological parameters
Large-scale structure of universe
Surveys
Probing dark energy
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Faculty of Science Publications
ERA 2012 Admin Only
 
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Created: Mon, 28 Feb 2011, 09:45:10 EST