Annealing a follow-up program: Improvement of the dark energy figure of merit for optical galaxy cluster surveys

Hao Yi Wu, Eduardo Rozo, Risa H. Wechsler

Research output: Contribution to journalReview articlepeer-review

25 Scopus citations

Abstract

The precision of cosmological parameters derived from galaxy cluster surveys is limited by uncertainty in relating observable signals to cluster mass. We demonstrate that a small mass-calibration follow-up program can significantly reduce this uncertainty and improve parameter constraints, particularly when the follow-up targets are judiciously chosen. To this end, we apply a simulated annealing algorithm to maximize the dark energy information at fixed observational cost, and find that optimal follow-up strategies can reduce the observational cost required to achieve a specified precision by up to an order of magnitude. Considering clusters selected from optical imaging in the Dark Energy Survey, we find that approximately 200 low-redshift X-ray clusters or massive Sunyaev-Zel'dovich clusters can improve the dark energy figure of merit by 50%, provided that the follow-up mass measurements involve no systematic error. In practice, the actual improvement depends on (1) the uncertainty in the systematic error in follow-up mass measurements, which needs to be controlled at the 5% level to avoid severe degradation of the results and (2) the scatter in the optical richness-mass distribution, which needs to be made as tight as possible to improve the efficacy of follow-up observations.

Original languageEnglish (US)
Pages (from-to)1207-1218
Number of pages12
JournalAstrophysical Journal
Volume713
Issue number2
DOIs
StatePublished - 2010
Externally publishedYes

Keywords

  • Cosmological parameters
  • Cosmology: theory
  • Galaxies: clusters: general
  • Galaxies: halos
  • Methods: statistical

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

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