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Title: The Gaussian streaming model and convolution Lagrangian effective field theory

Abstract

We update the ingredients of the Gaussian streaming model (GSM) for the redshift-space clustering of biased tracers using the techniques of Lagrangian perturbation theory, effective field theory (EFT) and a generalized Lagrangian bias expansion. After relating the GSM to the cumulant expansion, we present new results for the real-space correlation function, mean pairwise velocity and pairwise velocity dispersion including counter terms from EFT and bias terms through third order in the linear density, its leading derivatives and its shear up to second order. We discuss the connection to the Gaussian peaks formalism. We compare the ingredients of the GSM to a suite of large N-body simulations, and show the performance of the theory on the low order multipoles of the redshift-space correlation function and power spectrum. We highlight the importance of a general biasing scheme, which we find to be as important as higher-order corrections due to non-linear evolution for the halos we consider on the scales of interest to us.

Authors:
 [1];  [2];  [2]
+ Show Author Affiliations
  1. Stanford Univ., CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  2. Univ. of California, Berkeley, CA (United States)
Publication Date:
Research Org.:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1361154
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Cosmology and Astroparticle Physics
Additional Journal Information:
Journal Volume: 2016; Journal Issue: 12; Journal ID: ISSN 1475-7516
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Vlah, Zvonimir, Castorina, Emanuele, and White, Martin. The Gaussian streaming model and convolution Lagrangian effective field theory. United States: N. p., 2016. Web. doi:10.1088/1475-7516/2016/12/007.
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Vlah, Zvonimir, Castorina, Emanuele, & White, Martin. The Gaussian streaming model and convolution Lagrangian effective field theory. United States. https://doi.org/10.1088/1475-7516/2016/12/007
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Vlah, Zvonimir, Castorina, Emanuele, and White, Martin. Mon . "The Gaussian streaming model and convolution Lagrangian effective field theory". United States. https://doi.org/10.1088/1475-7516/2016/12/007. https://www.osti.gov/servlets/purl/1361154.
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@article{osti_1361154,
title = {The Gaussian streaming model and convolution Lagrangian effective field theory},
author = {Vlah, Zvonimir and Castorina, Emanuele and White, Martin},
abstractNote = {We update the ingredients of the Gaussian streaming model (GSM) for the redshift-space clustering of biased tracers using the techniques of Lagrangian perturbation theory, effective field theory (EFT) and a generalized Lagrangian bias expansion. After relating the GSM to the cumulant expansion, we present new results for the real-space correlation function, mean pairwise velocity and pairwise velocity dispersion including counter terms from EFT and bias terms through third order in the linear density, its leading derivatives and its shear up to second order. We discuss the connection to the Gaussian peaks formalism. We compare the ingredients of the GSM to a suite of large N-body simulations, and show the performance of the theory on the low order multipoles of the redshift-space correlation function and power spectrum. We highlight the importance of a general biasing scheme, which we find to be as important as higher-order corrections due to non-linear evolution for the halos we consider on the scales of interest to us.},
doi = {10.1088/1475-7516/2016/12/007},
journal = {Journal of Cosmology and Astroparticle Physics},
number = 12,
volume = 2016,
place = {United States},
year = {Mon Dec 05 00:00:00 EST 2016},
month = {Mon Dec 05 00:00:00 EST 2016}
}
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https://doi.org/10.1088/1475-7516/2016/12/007
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text, January 2018

Evidence for quadratic tidal tensor bias from the halo bispectrum
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text, January 2010

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text, January 2011

Scale dependent halo bias in the excursion set approach
text, January 2012

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text, January 2012

The Baryon Oscillation Spectroscopic Survey of SDSS-III
text, January 2012

Convolution Lagrangian perturbation theory for biased tracers
text, January 2012

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text, January 2012

Bias deconstructed: Unravelling the scale dependence of halo bias using real space measurements
text, January 2013

An analytic model for redshift-space distortions
text, January 2013

The Lagrangian-space Effective Field Theory of Large Scale Structures
text, January 2013

Time-analyticity of Lagrangian particle trajectories in ideal fluid flow
text, January 2013

The Zeldovich approximation
text, January 2014

The IR-resummed Effective Field Theory of Large Scale Structures
text, January 2014

Velocity bias in the distribution of dark matter halos
text, January 2014

Lagrangian perturbation theory at one loop order: successes, failures, and improvements
text, January 2014

Recursive Solutions of Lagrangian Perturbation Theory
text, January 2015

A Lagrangian effective field theory
text, January 2015

Efficient Construction of Mock Catalogs for Baryon Acoustic Oscillation Surveys
text, January 2015

Large-Scale Structure of the Universe and Cosmological Perturbation Theory
text, January 2001

Measuring the cosmological constant with redshift surveys
text, January 1996

The bias field of dark matter haloes
text, January 1997

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