Cosmological constraints from the redshift dependence of the Alcock-Paczynski effect: Possibility of estimateing the non-linear systematics using fast simulations

Abstract

The tomographic AP method is so far the best method in separating the Alcock-Paczynski (AP) signal from the redshift space distortion (RSD) effects and deriving powerful constraints on cosmological parameters using the $\lesssim 40h^{-1}\mathrm{Mpc}$ clustering region. To guarantee that the method can be easily applied to the future large scale structure (LSS) surveys, we study the possibility of estimating the systematics of the method using fast simulation method. The major contribution of the systematics comes from the non-zero redshift evolution of the RSD effects, which is quantified by ${\hat{\xi }}_{\Delta s}(\mu ,z)$ in our analysis, and estimated using the BigMultidark exact N-body simulation and approximate COLA simulation samples. We find about 5\%/10\% evolution when comparing the ${\hat{\xi }}_{\Delta s}(\mu ,z)$ measured as $z=0.5$/$z=1$ to the measurements at $z=0$. We checked the inaccuracy in the 2pCFs computed using COLA, and find it 5-10 times smaller than the intrinsic systematics of the tomographic AP method, indicating that using COLA to estimate the systematics is good enough. Finally, we test the effect of halo bias, and find $\lesssim$1.5\% change in ${\hat{\xi }}_{\Delta s}$ when varying the halo mass within the range of $2\times 10^{12}$ to $10^{14}$ $M_{\odot }$. We will perform more studies to achieve an accurate and efficient estimation of the systematics in redshift range of $z=0-1.5$.

arXiv comment13 pages, 6 figures. Accepted to ApJ

References in corpus (54)

• Observational Evidence from Supernovae for an Accelerating Universe and a Cosmological Constant
• Measurements of Omega and Lambda from 42 High-Redshift Supernovae
• Planck 2015 results. XIII. Cosmological parameters
• The Sloan Digital Sky Survey: Technical Summary
• Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies
• The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample
• Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples
• A 3% Solution: Determination of the Hubble Constant with the Hubble Space Telescope and Wide Field Camera 3
• The Rockstar Phase-Space Temporal Halo Finder and the Velocity Offsets of Cluster Cores
• Observational Probes of Cosmic Acceleration
• MultiDark simulations: the story of dark matter halo concentrations and density profiles
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in the Data Release 9 Spectroscopic Galaxy Sample
• Dark Energy
• Measuring the Baryon Acoustic Oscillation scale using the SDSS and 2dFGRS
• The 6dF Galaxy Survey: z \approx 0 measurement of the growth rate and sigma_8
• The WiggleZ Dark Energy Survey: the growth rate of cosmic structure since redshift z=0.9
• Scaling relations for galaxy clusters in the Millennium-XXL simulation
• Fingers of God
• Measuring the cosmological constant with redshift surveys
• Solving Large Scale Structure in Ten Easy Steps with COLA
• On the environmental dependence of halo formation
• H0 Revisited
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: a large sample of mock galaxy catalogues
• The MICE Grand Challenge Lightcone Simulation I: Dark matter clustering
• Precision cosmography with stacked voids
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Measuring D_A and H at z=0.57 from the Baryon Acoustic Peak in the Data Release 9 Spectroscopic Galaxy Sample
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Modeling the clustering and halo occupation distribution of BOSS-CMASS galaxies in the Final Data Release
• EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics
• Mock galaxy catalogs using the quick particle mesh method
• Modelling Baryon Acoustic Oscillations with Perturbation Theory and Stochastic Halo Biasing
• The WiggleZ Dark Energy Survey: measuring the cosmic expansion history using the Alcock-Paczynski test and distant supernovae
• Cosmological Redshift Distortion of Correlation Functions as a Probe of the Density Parameter and the Cosmological Constant
• Measuring q_0 from the Distortion of Voids in Redshift Space
• Luminosity- and morphology-dependent clustering of galaxies
• A marked correlation function for constraining modified gravity models
• The Horizon Run N-body Simulation: Baryon Acoustic Oscillations and Topology of Large Scale Structure of the Universe
• The New Horizon Run Cosmological N-Body Simulations
• nIFTy Cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
• Cosmic Voids in the SDSS DR12 BOSS Galaxy Sample: The Alcock-Paczynski Test
• Horizon Run 4 Simulation: Coupled Evolution of Galaxies and Large-scale Structures of the Universe
• The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the low-redshift sample
• HALOGEN: A tool for fast generation of mock halo catalogues
• Spatial distribution of galactic halos and their merger histories
• Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys
• The 2dF QSO Redshift Survey - XIII. A Measurement of Lambda from the QSO Power Spectrum
• Cosmological constraints from the redshift dependence of the Alcock-Paczynski effect: application to the SDSS-III BOSS DR12 galaxies
• The Q Continuum Simulation: Harnessing the Power of GPU Accelerated Supercomputers
• Cosmological constraints from the redshift dependence of the Alcock-Paczynski effect: Dynamical dark energy
• Measurement of marked correlation functions in SDSS-III Baryon Oscillation Spectroscopic Survey using LOWZ galaxies in Data Release 12
• Cosmological constraints from the redshift dependence of the Alcock-Paczynski test: galaxy density gradient field
• Cosmological constraints from the redshift dependence of the Alcock-Paczynski test and volume effect: galaxy two-point correlation function
• Non-parametric dark energy reconstruction using the tomographic Alcock-Paczynski test
• Alcock-Paczynski Test with the Evolution of Redshift-Space Galaxy Clustering Anisotropy
• The redshift dependence of Alcock-Paczynski effect: cosmological constraints from the current and next generation observations

Cited by in corpus (5)

• Tomographic Alcock-Paczynski Test with Redshift-Space Correlation Function: Evidence for the Dark Energy Equation of State Parameter w>-1
• Using the Mark Weighted Correlation Functions to Improve the Constraints on Cosmological Parameters
• Tomographic Alcock-Paczynski Method with Redshift Errors
• Cosmological constraints from the density gradient weighted correlation function
• Tomographic Alcock-Paczynski Test with Marked Correlation Functions