The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: theoretical systematics and Baryon Acoustic Oscillations in the galaxy correlation function
Mariana Vargas-Maga\~na, Shirley Ho, Antonio J. Cuesta, Ross, O'Connell, Ashley J. Ross, Daniel J. Eisenstein, Will J. Percival, Jan Niklas, Grieb, Ariel G. S\'anchez, Jeremy L. Tinker, Rita Tojeiro, Florian Beutler,, Chia-Hsun Chuang, Francisco-Shu Kitaura, Francisco Prada

TL;DR
This paper assesses theoretical systematic uncertainties in BAO measurements from galaxy clustering in BOSS DR12, finding they are sub-dominant to statistical errors and providing refined distance scale constraints.
Contribution
It provides a detailed analysis of the impact of methodological choices on BAO measurements and quantifies the systematic uncertainties in the final galaxy clustering analysis.
Findings
Systematic uncertainties in BAO parameters are 0.002 in α and 0.003 in ε.
Reconstruction techniques are the main source of systematic uncertainty.
BAO distance measurements achieve 1.4-1.7% precision at different redshifts.
Abstract
We investigate the potential sources of theoretical systematics in the anisotropic Baryon Acoustic Oscillation (BAO) distance scale measurements from the clustering of galaxies in configuration space using the final Data Release (DR12) of the Baryon Oscillation Spectroscopic Survey (BOSS). We perform a detailed study of the impact on BAO measurements from choices in the methodology such as fiducial cosmology, clustering estimators, random catalogues, fitting templates, and covariance matrices. The theoretical systematic uncertainties in BAO parameters are found to be 0.002 in the isotropic dilation and 0.003 in the quadrupolar dilation . The leading source of systematic uncertainty is related to the reconstruction techniques. Theoretical uncertainties are sub-dominant compared with the statistical uncertainties for BOSS survey, accounting for…
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.
