Baryon acoustic oscillations from a joint analysis of the large-scale clustering in Fourier and configuration space
Tyann Dumerchat, Julian E. Bautista

TL;DR
This paper introduces a novel joint analysis method combining Fourier and configuration space data to measure baryon acoustic oscillations, resulting in more reliable uncertainties and improved bias reduction compared to traditional methods.
Contribution
The work presents the first joint fit framework for BAO analysis in Fourier and configuration space, demonstrating its advantages over separate or Gaussian-based approaches.
Findings
Reduced bias in BAO parameter estimation.
Uncertainties are slightly larger but more reliable.
Results are consistent with official eBOSS measurements.
Abstract
Baryon acoustic oscillations (BAOs) are a powerful probe of the expansion history of our Universe and are typically measured in the two-point statistics of a galaxy survey, either in Fourier space or in configuration space. In this work, we report a first measurement of BAOs from a joint fit of power spectrum and correlation function multipoles. We tested our new framework with a set of 1000 mock catalogs and showed that our method yields smaller biases on BAO parameters than individually fitting power spectra or correlation functions, or when combining them with the Gaussian approximation method. Our estimated uncertainties are slightly larger than those from the Gaussian approximation, likely due to noise in our sample covariance matrix, the larger number of nuisance parameters, or the fact that our new framework does not rely on the assumption of Gaussian likelihoods for the BAO…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena
