Robust constraints on dark energy and gravity from galaxy clustering data
Yun Wang

TL;DR
This paper demonstrates that analyzing the full galaxy power spectrum yields more accurate and less correlated measurements of cosmic expansion and distance scales, significantly improving dark energy constraints over BAO-only methods.
Contribution
It introduces a robust method using the full galaxy power spectrum to enhance dark energy and gravity constraints beyond traditional BAO-only analyses.
Findings
Full power spectrum analysis improves measurement accuracy.
Including redshift-space distortions enhances gravity tests.
Stage IV surveys can achieve high-precision measurements.
Abstract
Galaxy clustering data provide a powerful probe of dark energy. We examine how the constraints on the scaled expansion history of the universe, x_h(z)=H(z)s (with s denoting the sound horizon at the drag epoch), and the scaled angular diameter distance, x_d(z)=D_A(z)/s, depend on the methods used to analyze the galaxy clustering data. We find that using the observed galaxy power spectrum, P_g^{obs}(k), x_h(z) and x_d(z) are measured more accurately and are significantly less correlated with each other, compared to using only the information from the baryon acoustic oscillations (BAO) in P_g^{obs}(k). Using the {x_h(z), x_d(z)} from P_g^{obs}(k) gives a DETF dark energy FoM approximately a factor of two larger than using the {x_h(z), x_d(z)} from BAO only; this provides a robust conservative method to go beyond BAO only in extracting dark energy information from galaxy clustering data.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
