Signatures of the Primordial Universe from Its Emptiness: Measurement of Baryon Acoustic Oscillations from Minima of the Density Field
Francisco-Shu Kitaura, Chia-Hsun Chuang, Yu Liang, Cheng Zhao,, Charling Tao, Sergio Rodriguez-Torres, Daniel J. Eisenstein, Hector, Gil-Marin, Jean-Paul Kneib, Cameron McBride, Will Percival, Ashley J. Ross,, Ariel G. Sanchez, Jeremy Tinker, Rita Tojeiro, Mariana Vargas-Magana

TL;DR
This paper demonstrates that baryon acoustic oscillations can be detected from overlapping voids in the large-scale structure of the universe, providing a new method to measure cosmic scales with high significance.
Contribution
It introduces a novel approach to measure BAOs from the minima of the density field using overlapping voids, confirmed by simulations and observational data.
Findings
BAO signals are detectable from overlapping voids but not from disjoint ones.
The method achieves a >3σ BAO detection in SDSS-III BOSS data.
Voids serve as quiet, nearly isotropic regions ideal for cosmological measurements.
Abstract
Sound waves from the primordial fluctuations of the Universe imprinted in the large-scale structure, called baryon acoustic oscillations (BAOs), can be used as standard rulers to measure the scale of the Universe. These oscillations have already been detected in the distribution of galaxies. Here we propose to measure BAOs from the troughs (minima) of the density field. Based on two sets of accurate mock halo catalogues with and without BAOs in the seed initial conditions, we demonstrate that the BAO signal cannot be obtained from the clustering of classical disjoint voids, but is clearly detected from overlapping voids. The latter represent an estimate of all troughs of the density field. We compute them from the empty circumsphere centers constrained by tetrahedra of galaxies using Delaunay triangulation. Our theoretical models based on an unprecedented large set of detailed simulated…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
