EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics

Chuang, Chia-Hsun; Kitaura, Francisco-Shu; Prada, Francisco; Zhao, Cheng; Yepes, Gustavo

doi:10.1093/mnras/stu2301

Cited by 170 publications

(154 citation statements)

References 47 publications

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“…The others instead construct the density field before the identification or population of the haloes. While most of them compute the density field directly from the ICs, EZmock and LogNormal perform a modification of the initial conditions (see Chuang et al 2015, andColes &Jones 1991 for more details).…”

Section: Approximate Methods For Mock Comparisonmentioning

confidence: 99%

nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics

Chuang

Zhao

Prada

et al. 2015

Mon. Not. R. Astron. Soc.

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We present a comparison of major methodologies of fast generating mock halo or galaxy catalogues. The comparison is done for two-point (power spectrum and 2-point correlation function in real-and redshift-space), and the three-point clustering statistics (bispectrum and 3-point correlation function). The reference catalogues are drawn from the BigMultiDark Nbody simulation. Both friend-of-friends (including distinct halos only) and spherical overdensity (including distinct halos and subhalos) catalogues have been used with the typical number density of a large-volume galaxy surveys. We demonstrate that a proper biasing model is essential for reproducing the power spectrum at quasilinear and even smaller scales. With respect to various clustering statistics, a methodology based on perturbation theory and a realistic biasing model leads to very good agreement with N-body simulations. However, for the quadrupole of the correlation function or the power spectrum, only the method based on semi-N -body simulation could reach high accuracy (1% level) at small scales, i.e., r < 25 h −1 Mpc or k > 0.15 h Mpc −1 . Full N -body solutions will remain indispensable to produce reference catalogues. Nevertheless, we have demonstrated that the more efficient approximate solvers can reach a few percent accuracy in terms of clustering statistics at the scales interesting for

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Section: Approximate Methods For Mock Comparisonmentioning

confidence: 99%

nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics

Chuang

Zhao

Prada

et al. 2015

Mon. Not. R. Astron. Soc.

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“…We generate an additional 1,000 mock light cones using EZmocks (Chuang et al 2015) to construct the covariance matrix for the measurement of the two-point correlation function. EZmocks have been designed to reproduce accurately, at very low computational cost, the large-scale structure of halos in N -body simulations in terms of the 2-point correlation function, power spectrum, 3-point correlation function, and bispectrum, in both real and redshift-space (e.g.…”

Section: Massive Mock Productionmentioning

confidence: 99%

“…EZmocks have been designed to reproduce accurately, at very low computational cost, the large-scale structure of halos in N -body simulations in terms of the 2-point correlation function, power spectrum, 3-point correlation function, and bispectrum, in both real and redshift-space (e.g. see Chuang et al 2015). Thus, EZmocks is ideal for generating a large number of mock catalogues to construct a reliable covariance matrix for our local universe clustering measurements.…”

Section: Massive Mock Productionmentioning

confidence: 99%

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The Low Redshift survey at Calar Alto (LoRCA)

Comparat

Chuang

Rodríguez-Torres

et al. 2016

Mon. Not. R. Astron. Soc.

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The Baryon Acoustic Oscillation (BAO) feature in the power spectrum of galaxies provides a standard ruler to measure the accelerated expansion of the Universe. To extract all available information about dark energy, it is necessary to measure a standard ruler in the local, z < 0.2, universe where dark energy dominates most the energy density of the Universe. Though the volume available in the local universe is limited, it is just big enough to measure accurately the long 100 h −1 Mpc wave-mode of the BAO. Using cosmological N -body simulations and approximate methods based on Lagrangian perturbation theory, we construct a suite of a thousand light-cones to evaluate the precision at which one can measure the BAO standard ruler in the local universe. We find that using the most massive galaxies on the full sky (34,000 deg 2 ), i.e. a K 2MASS < 14 magnitude-limited sample, one can measure the BAO scale up to a precision of 4% (∼ 1.2% using reconstruction). We also find that such a survey would help to detect the dynamics of dark energy. Therefore, we propose a 3-year long observational project, named the Low Redshift survey at Calar Alto (LoRCA), to observe spectroscopically about 200,000 galaxies in the northern sky to contribute to the construction of aforementioned galaxy sample. The suite of light-cones is made available to the public.

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“…In addition to this there is a wealth of alternative methods such as PINOCCHIO (Monaco et al, 2002(Monaco et al, , 2013, Quick Particle Mesh Simulations (QPM; White et al 2014), Augmented lagrangian Perturbation Theory (ALPT; Kitaura & Heß 2013), Effective Zel'dovich approximation mocks (EZmocks; Chuang et al 2015) and the Comoving Lagrangian Acceleration method (COLA; Tassev et al 2013, Tassev et al 2015 which can all be used to produce mock catalogues comparable in accuracy to, if not better than, 2LPT and with similar speed. In this paper we present a stand-alone parallel implementation of the latter of these, with emphasis on maximising speed, memory conservation and ease of use.…”

Section: Introductionmentioning

confidence: 99%

L-PICOLA: A parallel code for fast dark matter simulation

Howlett

Manera

Percival

2015

Astronomy and Computing

151

181

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Robust measurements based on current large-scale structure surveys require precise knowledge of statistical and systematic errors. This can be obtained from large numbers of realistic mock galaxy catalogues that mimic the observed distribution of galaxies within the survey volume. To this end we present a fast, distributed-memory, planar-parallel code, L-PICOLA, which can be used to generate and evolve a set of initial conditions into a dark matter field much faster than a full non-linear N-Body simulation. Additionally, L-PICOLA has the ability to include primordial non-Gaussianity in the simulation and simulate the past lightcone at run-time, with optional replication of the simulation volume. Through comparisons to fully non-linear N-Body simulations we find that our code can reproduce the z = 0 power spectrum and reduced bispectrum of dark matter to within 2% and 5% respectively on all scales of interest to measurements of Baryon Acoustic Oscillations and Redshift Space Distortions, but 3 orders of magnitude faster. The accuracy, speed and scalability of this code, alongside the additional features we have implemented, make it extremely useful for both current and next generation large-scale structure surveys. L-PICOLA is publicly available at https://cullanhowlett.github.io/l-picola.

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EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics

Cited by 170 publications

References 47 publications

nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics

nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics

The Low Redshift survey at Calar Alto (LoRCA)

L-PICOLA: A parallel code for fast dark matter simulation

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