English

Designing a space-based galaxy redshift survey to probe dark energy

Cosmology and Nongalactic Astrophysics 2015-05-19 v2 General Relativity and Quantum Cosmology High Energy Physics - Phenomenology

Abstract

A space-based galaxy redshift survey would have enormous power in constraining dark energy and testing general relativity, provided that its parameters are suitably optimized. We study viable space-based galaxy redshift surveys, exploring the dependence of the Dark Energy Task Force (DETF) figure-of-merit (FoM) on redshift accuracy, redshift range, survey area, target selection, and forecast method. Fitting formulae are provided for convenience. We also consider the dependence on the information used: the full galaxy power spectrum P(k, P(k) marginalized over its shape, or just the Baryon Acoustic Oscillations (BAO). We find that the inclusion of growth rate information (extracted using redshift space distortion and galaxy clustering amplitude measurements) leads to a factor of ~ 3 improvement in the FoM, assuming general relativity is not modified. This inclusion partially compensates for the loss of information when only the BAO are used to give geometrical constraints, rather than using the full P(k) as a standard ruler. We find that a space-based galaxy redshift survey covering ~20,000 deg^2 over 0.5< z < 2 with \sigma_z/(1+z)<= 0.001 exploits a redshift range that is only easily accessible from space, extends to sufficiently low redshifts to allow both a vast 3-D map of the universe using a single tracer population, and overlaps with ground-based surveys to enable robust modeling of systematic effects. We argue that these parameters are close to their optimal values given current instrumental and practical constraints.

Keywords

Cite

@article{arxiv.1006.3517,
  title  = {Designing a space-based galaxy redshift survey to probe dark energy},
  author = {Yun Wang and Will Percival and Andrea Cimatti and Pia Mukherjee and Luigi Guzzo and Carlton M. Baugh and Carmelita Carbone and Paolo Franzetti and Bianca Garilli and James E. Geach and Cedric G. Lacey and Elisabetta Majerotto and Alvaro Orsi and Piero Rosati and Lado Samushia and Giovanni Zamorani},
  journal= {arXiv preprint arXiv:1006.3517},
  year   = {2015}
}

Comments

13 pages, 5 figures. Version with slightly modified text. Accepted by MNRAS

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