Clarifying Forecasts of Dark Energy Constraints from Baryon Acoustic Oscillations

TL;DR

This paper clarifies the assumptions behind forecasts of dark energy constraints from BAO measurements, analyzing how survey parameters and systematic errors influence the precision of dark energy constraints.

Contribution

It provides a detailed analysis of how assumptions about galaxy density and systematic errors affect dark energy forecast accuracy from BAO surveys.

Findings

Assuming nP_{0.2}/G^2(z)=10 approximates realistic galaxy densities.

Galaxy density assumptions significantly impact dark energy constraints.

Systematic errors up to 0.5% per redshift slice do not greatly reduce the Figure-of-Merit.

Abstract

The measurement of baryon acoustic oscillations (BAO) from a galaxy redshift survey provides one of the most promising methods for probing dark energy. In this paper, we clarify the assumptions that go into the forecasts of dark energy constraints from BAO. We show that assuming a constant nP_{0.2}/G^2(z) (where P_{0.2} is the real space galaxy power spectrum at k=0.2h/Mpc and redshift z) gives a good approximation of the observed galaxy number density expected from a realistic flux-limited galaxy redshift survey. We find that assuming nP_{0.2}/G^2(z)=10 gives very similar dark energy constraints to assuming nP_{0.2}=3, but the latter corresponds to a galaxy number density larger by ~70% at z=2. We show how the Figure-of-Merit (FoM) for constraining dark energy depends on the assumed galaxy number density, redshift accuracy, redshift range, survey area, and the systematic errors due to calibration and uncertainties in the theory of nonlinear evolution and galaxy biasing. We find that an additive systematic noise of up to 0.4-0.5% per dz=0.1 redshift slice does not lead to significant decrease in the BAO FoM.