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Title: Optimal linear reconstruction of dark matter from halo catalogues

Abstract

The dark matter lumps (or "halos") that contain galaxies have locations in the Universe that are to some extent random with respect to the overall matter distributions. We investigate how best to estimate the total matter distribution from the locations of the halos. We derive the weight function w(M) to apply to dark-matter haloes that minimizes the stochasticity between the weighted halo distribution and its underlying mass density field. The optimal w(M) depends on the range of masses of halos being used. While the standard biased-Poisson model of the halo distribution predicts that bias weighting is optimal, the simple fact that the mass is comprised of haloes implies that the optimal w(M) will be a mixture of mass-weighting and bias-weighting. In N-body simulations, the Poisson estimator is up to 15× noisier than the optimal. Optimal weighting could make cosmological tests based on the matter power spectrum or cross-correlations much more powerful and/or cost effective.

Authors:
 [1];  [1];  [1]
  1. Univ. of Pennsylvania, Philadelphia, PA (United States)
Publication Date:
Research Org.:
Univ. of Pennsylvania, Philadelphia, PA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1203600
Grant/Contract Number:  
FG02-95ER40893
Resource Type:
Accepted Manuscript
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 412; Journal Issue: 2; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; dark-matter halos; halos-cosmology; theory-dark matter; gravitational lensing; analytical-methods; numerical

Citation Formats

Cai, Yan -Chuan, Bernstein, Gary, and Sheth, Ravi K. Optimal linear reconstruction of dark matter from halo catalogues. United States: N. p., 2011. Web. doi:10.1111/j.1365-2966.2010.17969.x.
Cai, Yan -Chuan, Bernstein, Gary, & Sheth, Ravi K. Optimal linear reconstruction of dark matter from halo catalogues. United States. https://doi.org/10.1111/j.1365-2966.2010.17969.x
Cai, Yan -Chuan, Bernstein, Gary, and Sheth, Ravi K. Fri . "Optimal linear reconstruction of dark matter from halo catalogues". United States. https://doi.org/10.1111/j.1365-2966.2010.17969.x. https://www.osti.gov/servlets/purl/1203600.
@article{osti_1203600,
title = {Optimal linear reconstruction of dark matter from halo catalogues},
author = {Cai, Yan -Chuan and Bernstein, Gary and Sheth, Ravi K.},
abstractNote = {The dark matter lumps (or "halos") that contain galaxies have locations in the Universe that are to some extent random with respect to the overall matter distributions. We investigate how best to estimate the total matter distribution from the locations of the halos. We derive the weight function w(M) to apply to dark-matter haloes that minimizes the stochasticity between the weighted halo distribution and its underlying mass density field. The optimal w(M) depends on the range of masses of halos being used. While the standard biased-Poisson model of the halo distribution predicts that bias weighting is optimal, the simple fact that the mass is comprised of haloes implies that the optimal w(M) will be a mixture of mass-weighting and bias-weighting. In N-body simulations, the Poisson estimator is up to 15× noisier than the optimal. Optimal weighting could make cosmological tests based on the matter power spectrum or cross-correlations much more powerful and/or cost effective.},
doi = {10.1111/j.1365-2966.2010.17969.x},
journal = {Monthly Notices of the Royal Astronomical Society},
number = 2,
volume = 412,
place = {United States},
year = {Fri Apr 01 00:00:00 EDT 2011},
month = {Fri Apr 01 00:00:00 EDT 2011}
}

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Works referenced in this record:

Strong clustering of underdense regions and the environmental dependence of clustering from Gaussian initial conditions
journal, June 2007


The statistics of peaks of Gaussian random fields
journal, May 1986

  • Bardeen, J. M.; Bond, J. R.; Kaiser, N.
  • The Astrophysical Journal, Vol. 304
  • DOI: 10.1086/164143

Dark Energy Constraints from Weak‐Lensing Cross‐Correlation Cosmography
journal, January 2004

  • Bernstein, G.; Jain, B.
  • The Astrophysical Journal, Vol. 600, Issue 1
  • DOI: 10.1086/379768

Halo stochasticity in global clustering analysis
journal, July 2009


Biased clustering in the cold dark matter cosmogony
journal, April 1989

  • Cole, S.; Kaiser, N.
  • Monthly Notices of the Royal Astronomical Society, Vol. 237, Issue 4
  • DOI: 10.1093/mnras/237.4.1127

The evolution of large-scale structure in a universe dominated by cold dark matter
journal, May 1985

  • Davis, M.; Efstathiou, G.; Frenk, C. S.
  • The Astrophysical Journal, Vol. 292
  • DOI: 10.1086/163168

Stochastic Nonlinear Galaxy Biasing
journal, July 1999

  • Dekel, Avishai; Lahav, Ofer
  • The Astrophysical Journal, Vol. 520, Issue 1
  • DOI: 10.1086/307428

A New Method For Galaxy Cluster Detection. I. The Algorithm
journal, October 2000

  • Gladders, Michael D.; Yee, H. K. C.
  • The Astronomical Journal, Vol. 120, Issue 4
  • DOI: 10.1086/301557

Minimizing the stochasticity of halos in large-scale structure surveys
journal, August 2010


MaxBCG: A Red‐Sequence Galaxy Cluster Finder
journal, May 2007

  • Koester, Benjamin P.; McKay, Timothy A.; Annis, James
  • The Astrophysical Journal, Vol. 660, Issue 1
  • DOI: 10.1086/512092

Large-scale bias and the inaccuracy of the peak-background split: Large-scale bias
journal, December 2009


An analytic model for the spatial clustering of dark matter haloes
journal, September 1996

  • Mo, H. J.; White, S. D. M.
  • Monthly Notices of the Royal Astronomical Society, Vol. 282, Issue 2
  • DOI: 10.1093/mnras/282.2.347

Inductively Coupled Plasma Sources and Applications
journal, January 2010


Combined Effects of Galaxy Interactions and Large-Scale Environment on Galaxy Properties
journal, February 2009


Gravitational Potential Environment of Galaxies. i. Simulation
journal, April 2010


Beating lensing cosmic variance with galaxy tomography
journal, June 2004


Fourier analysis of luminosity-dependent galaxy clustering
journal, January 2004


Transients from initial conditions: a perturbative analysis
journal, October 1998


How Many Galaxies Fit in a Halo? Constraints on Galaxy Formation Efficiency from Spatial Clustering
journal, January 2001

  • Scoccimarro, Roman; Sheth, Ravi K.; Hui, Lam
  • The Astrophysical Journal, Vol. 546, Issue 1
  • DOI: 10.1086/318261

Large-scale bias and stochasticity of haloes and dark matter
journal, November 2004


A Line-of-Sight Integration Approach to Cosmic Microwave Background Anisotropies
journal, October 1996

  • Seljak, Uros; Zaldarriaga, Matias
  • The Astrophysical Journal, Vol. 469
  • DOI: 10.1086/177793

How to Suppress the Shot Noise in Galaxy Surveys
journal, August 2009


The halo-model description of marked statistics
journal, December 2005


Peculiar velocities of galaxies and clusters
journal, April 2001


Substructure and the halo model of large-scale structure
journal, October 2003


Biasing and the distribution of dark matter haloes
journal, April 1999


Large-scale bias and the peak background split
journal, September 1999


An excursion set model of hierarchical clustering: ellipsoidal collapse and the moving barrier
journal, January 2002


Scale dependence of halo and galaxy bias: Effects in real space
journal, March 2007


The cosmological simulation code gadget-2
journal, December 2005


Simulations of the formation, evolution and clustering of galaxies and quasars
journal, June 2005

  • Springel, Volker; White, Simon D. M.; Jenkins, Adrian
  • Nature, Vol. 435, Issue 7042
  • DOI: 10.1038/nature03597

Karhunen‐Loeve Eigenvalue Problems in Cosmology: How Should We Tackle Large Data Sets?
journal, May 1997

  • Tegmark, Max; Taylor, Andy N.; Heavens, Alan F.
  • The Astrophysical Journal, Vol. 480, Issue 1
  • DOI: 10.1086/303939

The Luminosity and Color Dependence of the Galaxy Correlation Function
journal, September 2005

  • Zehavi, Idit; Zheng, Zheng; Weinberg, David H.
  • The Astrophysical Journal, Vol. 630, Issue 1
  • DOI: 10.1086/431891

Halo Occupation Distribution Modeling of Clustering of Luminous red Galaxies
journal, November 2009


Works referencing / citing this record:

Optimal weighting in galaxy surveys: Application to redshift-space distortions
text, January 2012

  • Hamaus, Nico; Seljak, Uroš; Desjacques, Vincent
  • American Physical Society
  • DOI: 10.5167/uzh-70068

Relativistic effects in galaxy clustering in a parametrized post-Friedmann universe
text, January 2013

  • Lombriser, Lucas; Yoo, Jaiyul; Koyama, Kazuya
  • American Physical Society
  • DOI: 10.5167/uzh-90754

Relativistic effects in galaxy clustering in a parametrized post-Friedmann universe
text, January 2013