We develop a useful formula for power spectrum analysis for high- and intermediate-redshift galaxy samples, as an extension of the work by Feldman, Kaiser & Peacock. An optimal weight factor, which minimizes the errors of the power spectrum estimator, is obtained so that the light cone effect and redshift-space distortions are incorporated. Using this formula, we assess the feasibility of the power spectrum analysis with the luminous red galaxy (LRG) sample in the Sloan Digital Sky Survey as a probe of the equation of state of the dark energy. Fisher matrix analysis shows that the LRG sample can be sensitive to the equation of state around redshift z = 0.13. It is also demonstrated that the LRG sample can constrain the equation of state with (1 σ) error of 10% level, if other fundamental cosmological parameters are well determined independently. For a useful constraint, we point out the importance of modeling the bias, taking the luminosity dependence into account. We also discuss the optimized strategy to constrain the equation of state using power spectrum analysis. For a sample with a fixed total number of objects, it is most advantageous to have a sample with the mean number density 10 -4 h3 Mpc-3 in the range of the redshift 0.4 ≲,z ≲, 1.
All Science Journal Classification (ASJC) codes
- Astronomy and Astrophysics
- Space and Planetary Science