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Title: The Mira-Titan Universe. II. Matter Power Spectrum Emulation

Journal Article · · The Astrophysical Journal (Online)
 [1]; ORCiD logo [2];  [3];  [4];  [5];  [2];  [6];  [2];  [2];  [7]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. Argonne National Lab. (ANL), Lemont, IL (United States)
  3. Univ. of Pennsylvania, Philadelphia, PA (United States); Kavli Inst. for the Physics and Mathematics of the Universe, Chiba (Japan)
  4. Univ. of Wisconsin, Madison, WI (United States)
  5. Simon Fraser Univ., Burnaby, BC (Canada)
  6. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Arlington, VA (United States). Virginia Bioinformatics Inst.
  7. Argonne National Lab. (ANL), Lemont, IL (United States); Univ. of Chicago, IL (United States)

We introduce a new cosmic emulator for the matter power spectrum covering eight cosmological parameters. Targeted at optical surveys, the emulator provides accurate predictions out to a wavenumber k ~ 5Mpc-1 and redshift z ≤ 2. Besides covering the standard set of CDM parameters, massive neutrinos and a dynamical dark energy of state are included. The emulator is built on a sample set of 36 cosmological models, carefully chosen to provide accurate predictions over the wide and large parameter space. For each model, we have performed a high-resolution simulation, augmented with sixteen medium-resolution simulations and TimeRG perturbation theory results to provide accurate coverage of a wide k-range; the dataset generated as part of this project is more than 1.2Pbyte. With the current set of simulated models, we achieve an accuracy of approximately 4%. Because the sampling approach used here has established convergence and error-control properties, follow-on results with more than a hundred cosmological models will soon achieve ~1% accuracy. We compare our approach with other prediction schemes that are based on halo model ideas and remapping approaches. The new emulator code is publicly available.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1417158
Report Number(s):
LA-UR-17-21941; TRN: US1800993
Journal Information:
The Astrophysical Journal (Online), Vol. 847, Issue 1; ISSN 1538-4357
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 49 works
Citation information provided by
Web of Science

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Large-Scale Structure Formation with Massive Neutrinos and Dynamical Dark Energy text January 2013
PkANN - II. A non-linear matter power spectrum interpolator developed using artificial neural networks text January 2013
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations in the Data Release 10 and 11 galaxy samples text January 2013
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Cosmic Discordance: Are Planck CMB and CFHTLenS weak lensing measurements out of tune? preprint January 2014
HACC: Simulating Sky Surveys on State-of-the-Art Supercomputing Architectures text January 2014
An accurate halo model for fitting non-linear cosmological power spectra and baryonic feedback models text January 2015
Extending the Coyote emulator to dark energy models with standard $w_0$-$w_a$ parametrization of the equation of state text January 2016
Quintessential Scale Dependence from Separate Universe Simulations text January 2016
Stable clustering, the halo model and nonlinear cosmological power spectra text January 2002
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Cited By (24)

Relativistic N-body simulations with massive neutrinos journal November 2017
KiDS-450 + 2dFLenS: Cosmological parameter constraints from weak gravitational lensing tomography and overlapping redshift-space galaxy clustering journal October 2017
An efficient and accurate hybrid method for simulating non-linear neutrino structure journal August 2018
Modelling baryonic physics in future weak lensing surveys journal June 2019
On the road to percent accuracy: non-linear reaction of the matter power spectrum to dark energy and modified gravity journal July 2019
Euclid preparation: II. The EuclidEmulator – a tool to compute the cosmology dependence of the nonlinear matter power spectrum journal January 2019
Reconstructing probability distributions with Gaussian processes journal September 2019
On the road to per cent accuracy – II. Calibration of the non-linear matter power spectrum for arbitrary cosmologies journal September 2019
The Aemulus Project. I. Numerical Simulations for Precision Cosmology journal April 2019
Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering journal October 2019
Evolution of the Deterministic Collapse Barrier of the Field Clusters as a Probe of Cosmology journal January 2020
Core Cosmology Library: Precision Cosmological Predictions for LSST journal May 2019
HACC Cosmological Simulations: First Data Release journal September 2019
CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST journal December 2019
Euclid preparation: II. The EuclidEmulator – a tool to compute the cosmology dependence of the nonlinear matter power spectrum text January 2019
Relativistic N-body simulations with massive neutrinos text January 2017
Dark Energy Survey Year 1 Results: Cosmological Constraints from Cosmic Shear text January 2017
An Efficient and Accurate Hybrid Method for Simulating Non-Linear Neutrino Structure text January 2018
Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering text January 2018
On the road to percent accuracy: nonlinear reaction of the matter power spectrum to dark energy and modified gravity text January 2018
Reconstructing Probability Distributions with Gaussian Processes text January 2019
On the road to percent accuracy II: calibration of the non-linear matter power spectrum for arbitrary cosmologies text January 2019
CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST text January 2019
Evolution of the Deterministic Collapse Barrier of the Field Clusters as a Probe of Cosmology text January 2019

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