The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the BOSS Final Data Release

By Francisco-Shu Kitaura, Sergio A. Rodr'iguez-Torres, C. Chuang, Cheng Zhao, Francisco Prada, H. Gil-Marín, Hong Guo, G. Yepes, Anatoly Klypin, C. Scóccola and 13 more. 2015

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We reproduce the galaxy clustering catalogue from the SDSS-III Baryon Oscillation Spectroscopic Survey Final Data Release (BOSS DR11&DR12) with high fidelity on all relevant scales in order to allow a robust analysis of baryon acoustic oscillations and redshift space distortions. We have generated (6000) 12 288 MultiDark PATCHY BOSS (DR11) DR12 light cones corresponding to an effective volume of similar to 192 000 [h(-1) Gpc](3) (the largest ever simulated volume), including cosmic evolution in the redshift range from 0.15 to 0.75. The mocks have been calibrated using a reference galaxy catalogue based on the halo abundance matching modelling of the BOSS DR11&DR12 galaxy clustering data and on the data themselves. The production follows three steps. First, we apply the PATCHY code to generate a dark matter field and an object distribution including non-linear stochastic galaxy bias. Secondly, we run the halo/stellar distribution reconstruction HADRON code to assign masses to the various objects. This step uses the mass distribution as a function of local density and non-local indicators (i.e. tidal field tensor eigenvalues and relative halo exclusion separation for massive objects) from the reference simulation applied to the corresponding patchy dark matter and galaxy distribution. Finally, we apply the SUGAR code to build the light cones. The resulting MultiDarkPATCHY mock light cones reproduce the number density, selection function, survey geometry, and in general within 1 sigma, for arbitrary stellar mass bins, the power spectrum up to k = 0.3 h Mpc(-1), the two-point correlation functions down to a few Mpc scales, and the three-point statistics of the BOSS DR11&DR12 galaxy samples.

Subfields: Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/8ad49f6191ac7152e85a7555ed72f428512f0df7

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Citations in the corpus

The clustering of the SDSS-IV extended Baryon Oscillation Spectroscopic Survey DR14 quasar sample: First measurement of baryon acoustic oscillations between redshift 0.8 and 2.2 (2017, methodology): “The EZmocks use the same initial power spectrum used by the mock catalogues of the final BOSS data release (DR12; Alam et al. 2017; Kitaura et al. 2016).”
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: tomographic BAO analysis of DR12 combined sample in Fourier space (2016, methodology): “In this work, we use the MultiDark PATCHY (MD-Patchy) mock catalogues (Kitaura et al. 2016b) that provide 2048 realizations of galaxy distribution matching the spatial and redshift distributions of the DR12 data sample.”
Combining full-shape and BAO analyses of galaxy power spectra: a 1.6% CMB-independent constraint on H0 (2020, methodology): “Here, we use the MultiDark-Patchy (hereafter Patchy) [89, 90], which are generated with approximate Lagrangian perturbation theory techniques, with a stochastic halo bias prescription, calibrated from a high-resolution N-body simulation; BigMultiDark [91].”
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: Cosmological implications of the configuration-space clustering wedges (2016, methodology): “…the impact of effects such as velocity or assembly bias (Reid et al. 2014), or the advancement of methods to reconstruct the underlying density field (Kitaura et al. 2016b) are strategies that could help us to further increase the information extracted from LSS data sets, which will continue…”
A new analysis of galaxy 2-point functions in the BOSS survey, including full-shape information and post-reconstruction BAO (2021, methodology): “These mocks were prepared using approximate gravity solvers with galaxy biasing calibrated to the BigMultiDark simulation in a redshift-dependent way to capture the time-depedence of the BOSS galaxy sample [43].”
Nonlinear perturbation theory extension of the Boltzmann code CLASS (2020, background): “The latter are not possible to predict from first principles and are difficult to model even in mock catalogs [121].”
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample (2016, methodology): “Other key supporting papers are Reid et al. (2016), who describe the LSS catalogues used for all of these analyses, Kitaura et al. (2016), who describe the MultiDark-Patchy mock catalogues used to test analysis methods and derive covariance matrices, Tinker et al. (2016), who present…”
The cosmological analysis of the SDSS/BOSS data from the Effective Field Theory of Large-Scale Structure (2019, methodology): “The BOSS collaboration provides a set of mock catalogs, which mimic the clustering properties and geometry of the observed dataset [76].”
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: modelling the clustering and halo occupation distribution of BOSS CMASS galaxies in the Final Data Release (2015, methodology): “The mocks match the clustering of the galaxy catalogues for each redshift bin (see Kitaura et al. 2016, companion paper, for details).”
A buyer’s guide to the Hubble constant (2021, unknown): “For further details, see Kitaura et al. (2016).”
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: single-probe measurements from CMASS anisotropic galaxy clustering (2013, methodology): “We use the 2000 mock catalogues created by Kitaura et al. 2016 for the BOSS DR12 CMASS galaxy sample to estimate the covariance matrix of the observed correlation function.”
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: baryon acoustic oscillations in the Fourier space (2016, methodology): “We believe this excess damping is a limitation of the 2LPT approximation used in the mock production (for more details about the MultiDark-Patchy mock production see Kitaura et al. 2016).”
The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: observational systematics and baryon acoustic oscillations in the correlation function (2016, methodology): “Kitaura et al. (2016) demonstrate that the MD-P mocks are a better match to the combined sample, with some improvement over QPM due to the treatment of the lightcone (see Kitaura et al. 2016 for full details).”
The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: RSD measurement from the power spectrum and bispectrum of the DR12 BOSS galaxies (2016, methodology): “Details on how the MD-Patchy mocks are produced can be found in Kitaura et al. (2016).”
Cosmological parameters from the BOSS galaxy power spectrum (2019, methodology): “Second, we will test our pipeline on MultiDark patchy mock catalogs [64].”