### Abstract

We introduce a new statistic ωℓ(r_{s} ) for measuring and analyzing large-scale structure and particularly the baryon acoustic oscillations. ω_{ℓ}(r_{s} ) is a band-filtered, configuration space statistic that is easily implemented and has advantages over the traditional power spectrum and correlation function estimators. Unlike these estimators, ω_{ℓ}(r_{s} ) can localize most of the acoustic information into a single dip at the acoustic scale while avoiding sensitivity to the poorly constrained large-scale power (i.e., the integral constraint) through the use of a localized and compensated filter. It is also sensitive to anisotropic clustering through pair counting and does not require any binning of data.We measure the shift in the acoustic peak due to nonlinear effects using the monopole ω_{0}(r_{s} ) derived from subsampled dark matter (DM) catalogs as well as from mock galaxy catalogs created via halo occupation distribution modeling. All of these are drawn from 44 realizations of 1024^{3} particle DM simulations in a 1 h ^{-1} Gpc box at z = 1. We compare these shifts with those obtained from the power spectrum and conclude that the results agree.We therefore expect that distance measurements obtained from ω_{0}(r_{s} ) and P(k) will be consistent with each other.We also show that it is possible to extract the same amount of acoustic information by fitting over a finite range using either ω_{0}(r_{s} ) or P(k) derived from equal volume surveys.

Original language | English (US) |
---|---|

Pages (from-to) | 1224-1234 |

Number of pages | 11 |

Journal | Astrophysical Journal |

Volume | 718 |

Issue number | 2 |

DOIs | |

State | Published - Aug 1 2010 |

### Fingerprint

### Keywords

- Cosmological parameters
- Cosmology: theory
- Distance scale
- Large-scale structure of universe

### ASJC Scopus subject areas

- Space and Planetary Science
- Astronomy and Astrophysics

### Cite this

*Astrophysical Journal*,

*718*(2), 1224-1234. https://doi.org/10.1088/0004-637X/718/2/1224

**A new statistic for analyzing baryon acoustic oscillations.** / Xu, X.; White, M.; Padmanabhan, N.; Eisenstein, D. J.; Eckel, J.; Mehta, K.; Metchnik, M.; Pinto, Philip A; Seo, H. J.

Research output: Contribution to journal › Article

*Astrophysical Journal*, vol. 718, no. 2, pp. 1224-1234. https://doi.org/10.1088/0004-637X/718/2/1224

}

TY - JOUR

T1 - A new statistic for analyzing baryon acoustic oscillations

AU - Xu, X.

AU - White, M.

AU - Padmanabhan, N.

AU - Eisenstein, D. J.

AU - Eckel, J.

AU - Mehta, K.

AU - Metchnik, M.

AU - Pinto, Philip A

AU - Seo, H. J.

PY - 2010/8/1

Y1 - 2010/8/1

N2 - We introduce a new statistic ωℓ(rs ) for measuring and analyzing large-scale structure and particularly the baryon acoustic oscillations. ωℓ(rs ) is a band-filtered, configuration space statistic that is easily implemented and has advantages over the traditional power spectrum and correlation function estimators. Unlike these estimators, ωℓ(rs ) can localize most of the acoustic information into a single dip at the acoustic scale while avoiding sensitivity to the poorly constrained large-scale power (i.e., the integral constraint) through the use of a localized and compensated filter. It is also sensitive to anisotropic clustering through pair counting and does not require any binning of data.We measure the shift in the acoustic peak due to nonlinear effects using the monopole ω0(rs ) derived from subsampled dark matter (DM) catalogs as well as from mock galaxy catalogs created via halo occupation distribution modeling. All of these are drawn from 44 realizations of 10243 particle DM simulations in a 1 h -1 Gpc box at z = 1. We compare these shifts with those obtained from the power spectrum and conclude that the results agree.We therefore expect that distance measurements obtained from ω0(rs ) and P(k) will be consistent with each other.We also show that it is possible to extract the same amount of acoustic information by fitting over a finite range using either ω0(rs ) or P(k) derived from equal volume surveys.

AB - We introduce a new statistic ωℓ(rs ) for measuring and analyzing large-scale structure and particularly the baryon acoustic oscillations. ωℓ(rs ) is a band-filtered, configuration space statistic that is easily implemented and has advantages over the traditional power spectrum and correlation function estimators. Unlike these estimators, ωℓ(rs ) can localize most of the acoustic information into a single dip at the acoustic scale while avoiding sensitivity to the poorly constrained large-scale power (i.e., the integral constraint) through the use of a localized and compensated filter. It is also sensitive to anisotropic clustering through pair counting and does not require any binning of data.We measure the shift in the acoustic peak due to nonlinear effects using the monopole ω0(rs ) derived from subsampled dark matter (DM) catalogs as well as from mock galaxy catalogs created via halo occupation distribution modeling. All of these are drawn from 44 realizations of 10243 particle DM simulations in a 1 h -1 Gpc box at z = 1. We compare these shifts with those obtained from the power spectrum and conclude that the results agree.We therefore expect that distance measurements obtained from ω0(rs ) and P(k) will be consistent with each other.We also show that it is possible to extract the same amount of acoustic information by fitting over a finite range using either ω0(rs ) or P(k) derived from equal volume surveys.

KW - Cosmological parameters

KW - Cosmology: theory

KW - Distance scale

KW - Large-scale structure of universe

UR - http://www.scopus.com/inward/record.url?scp=77956923359&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77956923359&partnerID=8YFLogxK

U2 - 10.1088/0004-637X/718/2/1224

DO - 10.1088/0004-637X/718/2/1224

M3 - Article

AN - SCOPUS:77956923359

VL - 718

SP - 1224

EP - 1234

JO - Astrophysical Journal

JF - Astrophysical Journal

SN - 0004-637X

IS - 2

ER -