skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Dark Energy Survey Year-1 results: galaxy mock catalogues for BAO

Abstract

Mock catalogues are a crucial tool in the analysis of galaxy surveys data, both for the accurate computation of covariance matrices, and for the optimization of analysis methodology and validation of data sets. In this paper, we present a set of 1800 galaxy mock catalogues designed to match the Dark Energy Survey Year-1 BAO sample (Crocce et al. 2017) in abundance, observational volume, redshift distribution and uncertainty, and redshift-dependent clustering. The simulated samples were built upon halogen (Avila et al. 2015) halo catalogues, based on a 2LPT density field with an empirical halo bias. For each of them, a light-cone is constructed by the superposition of snapshots in the redshift range 0.45 < z < 1.4. Uncertainties introduced by so-called photometric redshifts estimators were modelled with a double-skewed-Gaussian curve fitted to the data. We populate haloes with galaxies by introducing a hybrid halo occupation distribution–halo abundance matching model with two free parameters. These are adjusted to achieve a galaxy bias evolution b(z ph) that matches the data at the 1σ level in the range 0.6 < z ph < 1.0. We further analyse the galaxy mock catalogues and compare their clustering to the data using the angular correlation function w(θ),more » the comoving transverse separation clustering ξμ< 0.8(s⊥) and the angular power spectrum Cℓ, finding them in agreement. This is the first large set of three-dimensional {RA,Dec.,z} galaxy mock catalogues able to simultaneously accurately reproduce the photometric redshift uncertainties and the galaxy clustering.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3];  [4];  [5]; ORCiD logo [6];  [7];  [8];  [9];  [10];  [7];  [7];  [7];  [11];  [4];  [12];  [13];  [14];  [15];  [16] more »;  [17];  [18];  [19];  [2];  [20];  [21];  [20];  [22];  [17];  [2];  [23];  [24];  [25];  [18];  [14];  [26];  [27];  [28];  [29];  [30];  [14];  [31];  [32];  [22];  [14];  [33];  [34];  [22];  [35];  [36];  [37];  [38];  [34];  [5];  [39];  [39] « less
  1. Institute of Cosmology and Gravitation, Dennis Sciama Building, University of Portsmouth, Portsmouth PO1 3FX, UK; Departamento de Física Teórica, Módulo C-15, Facultad de Ciencias, Universidad Autónoma de Madrid, E-28049 Cantoblanco, Madrid, Spain; Instituto de Física Teórica, UAM-CSIC, Universidad Autonoma de Madrid, E-28049 Cantoblanco, Madrid, Spain
  2. Institut de Ciències de l’Espai, IEEC-CSIC, Campus UAB, Facultat de Ciències, Torre C5 par-2, E-08193 Barcelona, Spain
  3. Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, OH 43210, USA
  4. Departamento de Física Teórica, Módulo C-15, Facultad de Ciencias, Universidad Autónoma de Madrid, E-28049 Cantoblanco, Madrid, Spain; Instituto de Física Teórica, UAM-CSIC, Universidad Autonoma de Madrid, E-28049 Cantoblanco, Madrid, Spain
  5. Institute of Cosmology and Gravitation, Dennis Sciama Building, University of Portsmouth, Portsmouth PO1 3FX, UK
  6. Department of Physics, University of Florida, Gainesville, FL 32611, USA; Fermi National Accelerator Laboratory, Batavia, IL 60510, USA; GRAPPA, Institute of Theoretical Physics, University of Amsterdam, Science Park 904, NL-1090 GL Amsterdam, the Netherlands; Lorentz Institute, Leiden University, Niels Bohrweg 2, NL-2333 CA Leiden, the Netherlands
  7. Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo,CP 66318, São Paulo, SP, 05314-970, Brazil; Laboratório Interinstitucional de e-Astronomia, Rua General José Cristino, 77, São Cristóvão, Rio de Janeiro, RJ, 20921-400, Brazil
  8. Departamento de Física Matemática, Instituto de Física, Universidade de São Paulo,CP 66318, São Paulo, SP, 05314-970, Brazil; Laboratório Interinstitucional de e-Astronomia, Rua General José Cristino, 77, São Cristóvão, Rio de Janeiro, RJ, 20921-400, Brazil; ICTP South American Institute for Fundamental Research & Instituto de Física Teórica, Universidade Estadual Paulista, São Paulo, Brazil; Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA
  9. Institut de Ciències de l’Espai, IEEC-CSIC, Campus UAB, Facultat de Ciències, Torre C5 par-2, E-08193 Barcelona, Spain; School of Physics and Astronomy, Sun Yat-Sen University, Guangzhou 510275, China
  10. Laboratório Interinstitucional de e-Astronomia, Rua General José Cristino, 77, São Cristóvão, Rio de Janeiro, RJ, 20921-400, Brazil; Instituto de Física Teórica, Universidade Estadual Paulista, São Paulo, Brazil
  11. Laboratório Interinstitucional de e-Astronomia, Rua General José Cristino, 77, São Cristóvão, Rio de Janeiro, RJ, 20921-400, Brazil; ICTP South American Institute for Fundamental Research & Instituto de Física Teórica, Universidade Estadual Paulista, São Paulo, Brazil
  12. Max Planck Institute for Extraterrestrial Physics, Giessenbachstrasse, D-85748 Garching, Germany; Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians Universität München, Scheinerstr. 1, D-81679München, Germany
  13. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK; Department of Physics and Electronics, Rhodes University, PO Box 94, Grahamstown 6140, South Africa
  14. Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
  15. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK; CNRS, UMR 7095, Institut d’Astrophysique de Paris, F-75014 Paris, France; Institut d’Astrophysique de Paris, Sorbonne Universités, UPMC Univ Paris 06, UMR 7095, F-75014 Paris, France
  16. CNRS, UMR 7095, Institut d’Astrophysique de Paris, F-75014 Paris, France; Institut d’Astrophysique de Paris, Sorbonne Universités, UPMC Univ Paris 06, UMR 7095, F-75014 Paris, France
  17. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK
  18. Department of Astronomy, University of Illinois, 1002 W. Green Street, Urbana, IL 61801, USA; National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
  19. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona) Spain
  20. Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA
  21. Laboratório Interinstitucional de e-Astronomia, Rua General José Cristino, 77, São Cristóvão, Rio de Janeiro, RJ, 20921-400, Brazil; Observatório Nacional, Rua Gal. José Cristino 77, Rio de Janeiro, RJ, 20921-400, Brazil
  22. Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid, Spain
  23. Fermi National Accelerator Laboratory, Batavia, IL 60510, USA; Kavli Institute for Cosmological Physics, University of Chicago, Chicago, IL 60637, USA
  24. Department of Astronomy, University of Michigan, Ann Arbor, MI 48109, USA; Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  25. Kavli Institute for Particle Astrophysics and Cosmology, PO Box 2450, Stanford University, Stanford, CA 94305, USA; SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
  26. Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK; Department of Physics, ETH Zurich, Wolfgang-Pauli-Strasse 16, CH-8093 Zurich, Switzerland
  27. Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
  28. Center for Cosmology and AstroParticle Physics, The Ohio State University, Columbus, OH 43210, USA; Department of Physics, The Ohio State University, Columbus, OH 43210, USA
  29. Astronomy Department, University of Washington, Box 351580, Seattle, WA 98195, USA
  30. Australian Astronomical Observatory, North Ryde, NSW 2113, Australia
  31. Institut de Física d’Altes Energies (IFAE), The Barcelona Institute of Science and Technology, Campus UAB, E-08193 Bellaterra (Barcelona) Spain; Institució Catalana de Recerca i Estudis Avançats, E-08010 Barcelona, Spain
  32. Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, USA
  33. SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
  34. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA
  35. School of Physics and Astronomy, University of Southampton, Southampton SO17 1BJ, UK
  36. Laboratório Interinstitucional de e-Astronomia, Rua General José Cristino, 77, São Cristóvão, Rio de Janeiro, RJ, 20921-400, Brazil; Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas, 13083-859, SP, Campinas, Brazil
  37. Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA
  38. National Center for Supercomputing Applications, 1205 West Clark St., Urbana, IL 61801, USA
  39. Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, Casilla 603, La Serena, Chile
Publication Date:
Research Org.:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Contributing Org.:
DES Collaboration
OSTI Identifier:
1431578
Alternate Identifier(s):
OSTI ID: 1468025
Report Number(s):
FERMILAB-PUB-17-587; IFT-UAM-CSIC-17-124; DES-2017-0292; arXiv:1712.06232
Journal ID: ISSN 0035-8711; 1643782; TRN: US1802321
Grant/Contract Number:  
AC02-07CH11359; AC05-00OR22725
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Monthly Notices of the Royal Astronomical Society
Additional Journal Information:
Journal Volume: 479; Journal Issue: 1; Journal ID: ISSN 0035-8711
Publisher:
Royal Astronomical Society
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Avila, S., Crocce, M., Ross, A. J., García-Bellido, J., Percival, W. J., Banik, N., Camacho, H., Kokron, N., Chan, K. C., Andrade-Oliveira, F., Gomes, R., Gomes, D., Lima, M., Rosenfeld, R., Salvador, A. I., Friedrich, O., Abdalla, F. B., Annis, J., Benoit-Lévy, A., Bertin, E., Brooks, D., Carrasco Kind, M., Carretero, J., Castander, F. J., Cunha, C. E., da Costa, L. N., Davis, C., De Vicente, J., Doel, P., Fosalba, P., Frieman, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hollowood, D., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Miquel, R., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Walker, A. R., and Collaboration),. Dark Energy Survey Year-1 results: galaxy mock catalogues for BAO. United States: N. p., 2018. Web. doi:10.1093/mnras/sty1389.
Avila, S., Crocce, M., Ross, A. J., García-Bellido, J., Percival, W. J., Banik, N., Camacho, H., Kokron, N., Chan, K. C., Andrade-Oliveira, F., Gomes, R., Gomes, D., Lima, M., Rosenfeld, R., Salvador, A. I., Friedrich, O., Abdalla, F. B., Annis, J., Benoit-Lévy, A., Bertin, E., Brooks, D., Carrasco Kind, M., Carretero, J., Castander, F. J., Cunha, C. E., da Costa, L. N., Davis, C., De Vicente, J., Doel, P., Fosalba, P., Frieman, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hollowood, D., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Miquel, R., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Walker, A. R., & Collaboration),. Dark Energy Survey Year-1 results: galaxy mock catalogues for BAO. United States. https://doi.org/10.1093/mnras/sty1389
Avila, S., Crocce, M., Ross, A. J., García-Bellido, J., Percival, W. J., Banik, N., Camacho, H., Kokron, N., Chan, K. C., Andrade-Oliveira, F., Gomes, R., Gomes, D., Lima, M., Rosenfeld, R., Salvador, A. I., Friedrich, O., Abdalla, F. B., Annis, J., Benoit-Lévy, A., Bertin, E., Brooks, D., Carrasco Kind, M., Carretero, J., Castander, F. J., Cunha, C. E., da Costa, L. N., Davis, C., De Vicente, J., Doel, P., Fosalba, P., Frieman, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hollowood, D., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Miquel, R., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Walker, A. R., and Collaboration),. 2018. "Dark Energy Survey Year-1 results: galaxy mock catalogues for BAO". United States. https://doi.org/10.1093/mnras/sty1389. https://www.osti.gov/servlets/purl/1431578.
@article{osti_1431578,
title = {Dark Energy Survey Year-1 results: galaxy mock catalogues for BAO},
author = {Avila, S. and Crocce, M. and Ross, A. J. and García-Bellido, J. and Percival, W. J. and Banik, N. and Camacho, H. and Kokron, N. and Chan, K. C. and Andrade-Oliveira, F. and Gomes, R. and Gomes, D. and Lima, M. and Rosenfeld, R. and Salvador, A. I. and Friedrich, O. and Abdalla, F. B. and Annis, J. and Benoit-Lévy, A. and Bertin, E. and Brooks, D. and Carrasco Kind, M. and Carretero, J. and Castander, F. J. and Cunha, C. E. and da Costa, L. N. and Davis, C. and De Vicente, J. and Doel, P. and Fosalba, P. and Frieman, J. and Gerdes, D. W. and Gruen, D. and Gruendl, R. A. and Gutierrez, G. and Hartley, W. G. and Hollowood, D. and Honscheid, K. and James, D. J. and Kuehn, K. and Kuropatkin, N. and Miquel, R. and Plazas, A. A. and Sanchez, E. and Scarpine, V. and Schindler, R. and Schubnell, M. and Sevilla-Noarbe, I. and Smith, M. and Sobreira, F. and Suchyta, E. and Swanson, M. E. C. and Tarle, G. and Thomas, D. and Walker, A. R. and Collaboration),},
abstractNote = {Mock catalogues are a crucial tool in the analysis of galaxy surveys data, both for the accurate computation of covariance matrices, and for the optimization of analysis methodology and validation of data sets. In this paper, we present a set of 1800 galaxy mock catalogues designed to match the Dark Energy Survey Year-1 BAO sample (Crocce et al. 2017) in abundance, observational volume, redshift distribution and uncertainty, and redshift-dependent clustering. The simulated samples were built upon halogen (Avila et al. 2015) halo catalogues, based on a 2LPT density field with an empirical halo bias. For each of them, a light-cone is constructed by the superposition of snapshots in the redshift range 0.45 < z < 1.4. Uncertainties introduced by so-called photometric redshifts estimators were modelled with a double-skewed-Gaussian curve fitted to the data. We populate haloes with galaxies by introducing a hybrid halo occupation distribution–halo abundance matching model with two free parameters. These are adjusted to achieve a galaxy bias evolution b(z ph) that matches the data at the 1σ level in the range 0.6 < z ph < 1.0. We further analyse the galaxy mock catalogues and compare their clustering to the data using the angular correlation function w(θ), the comoving transverse separation clustering ξμ< 0.8(s⊥) and the angular power spectrum Cℓ, finding them in agreement. This is the first large set of three-dimensional {RA,Dec.,z} galaxy mock catalogues able to simultaneously accurately reproduce the photometric redshift uncertainties and the galaxy clustering.},
doi = {10.1093/mnras/sty1389},
url = {https://www.osti.gov/biblio/1431578}, journal = {Monthly Notices of the Royal Astronomical Society},
issn = {0035-8711},
number = 1,
volume = 479,
place = {United States},
year = {Mon May 28 00:00:00 EDT 2018},
month = {Mon May 28 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 21 works
Citation information provided by
Web of Science

Figures / Tables:

Figure 1 Figure 1: 2-point correlation function of MICE vs. HALOGEN halos in the simulation box at the snapshots $$z$$ = 0.0, 0.5, 1.0 and 1.5 as labelled. We display the different mass thresholds $$M$$th used during the fit (finding higher correlations for higher $$M$$th). Note that correlations have been multiplied bymore » $$r$$2 to highlight the large scales.« less

Save / Share:

Works referenced in this record:

HALOGEN: a tool for fast generation of mock halo catalogues
journal, April 2015


A COMPREHENSIVE ANALYSIS OF UNCERTAINTIES AFFECTING THE STELLAR MASS-HALO MASS RELATION FOR 0 < z < 4
journal, June 2010


Bayesian Photometric Redshift Estimation
journal, June 2000


Faint Galaxies in Deep Advanced Camera for Surveys Observations
journal, January 2004


The Halo Occupation Distribution: Toward an Empirical Determination of the Relation between Galaxies and Mass
journal, August 2002


SExtractor: Software for source extraction
journal, June 1996


The 6dF Galaxy Survey: baryon acoustic oscillations and the local Hubble constant: 6dFGS: BAOs and the local Hubble constant
journal, July 2011


The WiggleZ Dark Energy Survey: mapping the distance-redshift relation with baryon acoustic oscillations: WiggleZ Survey: BAOs in redshift slices
journal, October 2011


The Peak-Patch Picture of Cosmic Catalogs. I. Algorithms
journal, March 1996


Excursion set mass functions for hierarchical Gaussian fluctuations
journal, September 1991


An algorithm to build mock galaxy catalogues using MICE simulations
journal, December 2014


EZmocks: extending the Zel'dovich approximation to generate mock galaxy catalogues with accurate clustering statistics
journal, November 2014


nIFTy cosmology: Galaxy/halo mock catalogue comparison project on clustering statistics
journal, July 2015


The 2dF Galaxy Redshift Survey: power-spectrum analysis of the final data set and cosmological implications
journal, September 2005


A lognormal model for the cosmological mass distribution
journal, January 1991


Modeling Luminosity‐dependent Galaxy Clustering through Cosmic Time
journal, August 2006


Halo models of large scale structure
journal, December 2002


Modelling the angular correlation function and its full covariance in photometric galaxy surveys: Angular clustering in photometric surveys
journal, March 2011


The MICE Grand Challenge lightcone simulation – II. Halo and galaxy catalogues
journal, August 2015


DNF – Galaxy photometric redshift by Directional Neighbourhood Fitting
journal, April 2016


The Dark Energy Survey and operations: Year 1
conference, August 2014


The effect of covariance estimator error on cosmological parameter constraints
journal, September 2013


Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology
journal, April 2018


Baryonic Features in the Matter Transfer Function
journal, April 1998


Detection of the Baryon Acoustic Peak in the Large‐Scale Correlation Function of SDSS Luminous Red Galaxies
journal, November 2005


Clustering properties of g -selected galaxies at z ∼ 0.8
journal, June 2016


Power-spectrum analysis of three-dimensional redshift surveys
journal, May 1994


The onion universe: all sky lightcone simulations in spherical shells
journal, November 2008


The MICE grand challenge lightcone simulation – I. Dark matter clustering
journal, March 2015


The MICE Grand Challenge light-cone simulation – III. Galaxy lensing mocks from all-sky lensing maps
journal, December 2014


Precision matrix expansion – efficient use of numerical simulations in estimating errors on cosmological parameters
journal, October 2017


HEALPix: A Framework for High‐Resolution Discretization and Fast Analysis of Data Distributed on the Sphere
journal, April 2005


A new Method to Correct for Fiber Collisions in Galaxy Two-Point Statistics
journal, August 2012


Why your model parameter confidences might be too optimistic. Unbiased estimation of the inverse covariance matrix
journal, December 2006


Three‐Year Wilkinson Microwave Anisotropy Probe ( WMAP ) Observations: Temperature Analysis
journal, June 2007


Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies
journal, April 2018


Spatial Correlation Function and Pairwise Velocity Dispersion of Galaxies: Cold Dark Matter Models versus the Las Campanas Survey
journal, February 1998


On the spatial correlations of Abell clusters
journal, September 1984


Clustering in real space and in redshift space
journal, July 1987


The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: mock galaxy catalogues for the BOSS Final Data Release
journal, January 2016


MultiDark simulations: the story of dark matter halo concentrations and density profiles
journal, February 2016


Bias and variance of angular correlation functions
journal, July 1993


The clustering of galaxies in the SDSS-III Baryon Oscillation Spectroscopic Survey: a large sample of mock galaxy catalogues
journal, October 2012


An accurate tool for the fast generation of dark matter halo catalogues
journal, June 2013


Precollapse scale invariance in gravitational instability
journal, December 1991


HMFcalc: An online tool for calculating dark matter halo mass functions
journal, November 2013


The Structure of Cold Dark Matter Halos
journal, May 1996


The clustering of galaxies at z ≈ 0.5 in the SDSS-III Data Release 9 BOSS-CMASS sample: a test for the ΛCDM cosmology
journal, April 2013


Halo occupation numbers and galaxy bias
journal, November 2000


Primeval Adiabatic Perturbation in an Expanding Universe
journal, November 1970


Planck 2015 results : XIII. Cosmological parameters
journal, September 2016


Shrinkage estimation of the power spectrum covariance matrix
journal, September 2008


Formation of Galaxies and Clusters of Galaxies by Self-Similar Gravitational Condensation
journal, February 1974


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
journal, April 2016


The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: observational systematics and baryon acoustic oscillations in the correlation function
journal, September 2016


Optimized clustering estimators for BAO measurements accounting for significant redshift uncertainty
journal, August 2017


redMaGiC: selecting luminous red galaxies from the DES Science Verification data
journal, May 2016


FAST GENERATION OF ENSEMBLES OF COSMOLOGICAL N -BODY SIMULATIONS VIA MODE RESAMPLING
journal, July 2011


The Bispectrum: From Theory to Observations
journal, December 2000


PTHALOS: a fast method for generating mock galaxy distributions
journal, January 2002


Improved Forecasts for the Baryon Acoustic Oscillations and Cosmological Distance Scale
journal, August 2007


A halo model of galaxy colours and clustering in the Sloan Digital Sky Survey
journal, January 2009


Solving large scale structure in ten easy steps with COLA
journal, June 2013


Estimating cosmological parameter covariance
journal, June 2014


Galaxies in Λcdm with halo Abundance Matching: Luminosity-Velocity Relation, Baryonic Mass-Velocity Relation, Velocity Function, and Clustering
journal, November 2011


The halo mass function through the cosmic ages
journal, June 2013


Mock galaxy catalogues using the quick particle mesh method
journal, November 2013


Galaxy Clustering in the Completed sdss Redshift Survey: the Dependence on Color and Luminosity
journal, July 2011


Theoretical Models of the Halo Occupation Distribution: Separating Central and Satellite Galaxies
journal, November 2005


Planck 2015 results : XXIII. The thermal Sunyaev-Zeldovich effect-cosmic infrared background correlation
journal, September 2016


Optimized clustering estimators for BAO measurements accounting for significant redshift uncertainty
text, January 2017


Planck 2015 results : X. Diffuse component separation: Foreground maps
journal, September 2016


Planck 2015 results : XVI. Isotropy and statistics of the CMB
journal, September 2016


Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology
text, January 2018


Planck 2015 results : XXVI. The Second
journal, September 2016


Solving Large Scale Structure in Ten Easy Steps with COLA
text, January 2013


HMFcalc: An Online Tool for Calculating Dark Matter Halo Mass Functions
preprint, January 2013


Mock galaxy catalogs using the quick particle mesh method
text, January 2013


Estimating Cosmological Parameter Covariance
text, January 2014


HALOGEN: A tool for fast generation of mock halo catalogues
text, January 2014


Planck 2015 results. XIII. Cosmological parameters
text, January 2015


DNF - Galaxy photometric redshift by Directional Neighbourhood Fitting
text, January 2015


Dark Energy Survey Year 1 Results: Photometric Data Set for Cosmology
text, January 2017


Halo occupation numbers and galaxy bias
text, January 2000


The Structure of Cold Dark Matter Halos
text, January 1995


Works referencing / citing this record:

BAO from angular clustering: optimization and mitigation of theoretical systematics
journal, July 2018


Dark Energy Survey year 1 results: galaxy sample for BAO measurement
journal, September 2018


Dark Energy Survey Year 1 results: measurement of the baryon acoustic oscillation scale in the distribution of galaxies to redshift 1
journal, December 2018


The redshift-space momentum power spectrum – I. Optimal estimation from peculiar velocity surveys
journal, May 2019


Dark Energy Survey Year 1 results: measurement of the galaxy angular power spectrum
journal, June 2019


Comparing approximate methods for mock catalogues and covariance matrices II: power spectrum multipoles
journal, February 2019


Cosmological inference from galaxy-clustering power spectrum: Gaussianization and covariance decomposition
journal, March 2019


Cosmological Constraints from Multiple Probes in the Dark Energy Survey
text, January 2018