Density-dependent clustering - I. Pulling back the curtains on motions of the BAO peak

Mark C. Neyrinck, István Szapudi, Nuala McCullagh, Alexander S. Szalay, Bridget Falck, Jie Wang

Research output: Contribution to journalArticle

4 Citations (Scopus)


The most common statistic used to analyse large-scale structure surveys is the correlation function, or power spectrum. Here, we show how 'slicing' the correlation function on local density brings sensitivity to interesting non-Gaussian features in the large-scale structure, such as the expansion or contraction of baryon acoustic oscillations (BAOs) according to the local density. The sliced correlation function measures the large-scale flows that smear out the BAO, instead of just correcting them as reconstruction algorithms do. Thus, we expect the sliced correlation function to be useful in constraining the growth factor, and modified gravity theories that involve the local density. Out of the studied cases, we find that the run of the BAO peak location with density is best revealed when slicing on an ~40 h-1Mpc filtered density. But slicing on an ~100 h-1 Mpc filtered density may be most useful in distinguishing between underdense and overdense regions, whose BAO peaks are separated by a substantial ~5 h-1 Mpc at z = 0. We also introduce 'curtain plots' showing how local densities drive particle motions towards or away from each other over the course of an N-body simulation.

Original languageEnglish
Pages (from-to)2495-2504
Number of pages10
JournalMonthly Notices of the Royal Astronomical Society
Issue number2
Publication statusPublished - Aug 1 2018


  • Cosmology: theory
  • Large-scale structure of Universe

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Fingerprint Dive into the research topics of 'Density-dependent clustering - I. Pulling back the curtains on motions of the BAO peak'. Together they form a unique fingerprint.

  • Cite this