Detection significance of Baryon Acoustic Oscillations peaks in galaxy and quasar clustering
Behzad Ansarinejad (1), Tom Shanks (1) ((1) Durham University)

TL;DR
This paper evaluates the detection significance of Baryon Acoustic Oscillations in galaxy and quasar clustering, emphasizing the impact of covariance matrix accuracy and fitting range on the results.
Contribution
It provides an empirical error estimate for BAO detection in SDSS data and extends analysis to higher redshifts using quasar samples, highlighting the sensitivity of significance to covariance assumptions.
Findings
BAO detection significance varies with fitting range.
Error estimates align with simulated errors from prior studies.
Significance depends critically on covariance matrix accuracy.
Abstract
We compare our analysis of the Baryon Acoustic Oscillations (BAO) feature in the correlation functions of SDSS BOSS DR12 LOWZ and CMASS galaxy samples with the findings of arXiv:1509.06371v2. Using subsets of the data we obtain an empirical estimate of the errors on the correlation functions which are in agreement with the simulated errors of arXiv:1509.06371v2. We find that the significance of BAO detection is the quantity most sensitive to the choice of the fitting range with the CMASS value decreasing from to as the fitting range is reduced. Although our measurements of are in agreement with those of arXiv:1509.06371v2, we note that their CMASS (LOWZ ) detection significance reduces to () in fits with their diagonal covariance terms only. We extend our BAO analysis to higher redshifts by fitting to the…
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.
