Toward More Realistic Forecasting of Dark Energy Constraints from Galaxy Redshift Surveys

TL;DR

This paper enhances dark energy constraint forecasts from galaxy redshift surveys by incorporating a more realistic 'dewiggled' galaxy power spectrum, aligning predictions closely with actual data analysis and improving forecast accuracy.

Contribution

It introduces the use of the 'dewiggled' power spectrum in Fisher matrix calculations for more realistic dark energy forecasts from galaxy surveys.

Findings

The approach aligns well with SDSS DR7 data analysis.

Forecasts for Stage IV surveys are provided.

Results show improved realism over previous models.

Abstract

Galaxy redshift surveys are becoming increasingly important as a dark energy probe. We improve the forecasting of dark energy constraints from galaxy redshift surveys by using the "dewiggled" galaxy power spectrum, P_{dw}(k), in the Fisher matrix calculations. Since P_{dw}(k) is a good fit to real galaxy clustering data over most of the scale range of interest, our approach is more realistic compared to previous work in forecasting dark energy constraints from galaxy redshift surveys. We find that our new approach gives results in excellent agreement when compared to the results from the actual data analysis of the clustering of the Sloan Digital Sky Survey DR7 luminous red galaxies. We provide forecasts of the dark energy constraints from a plausible Stage IV galaxy redshift survey.