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Dark energy survey year-1 results: Galaxy mock catalogues for BAO

Dark energy survey year-1 results: Galaxy mock catalogues for BAO
Dark energy survey year-1 results: Galaxy mock catalogues for BAO

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(zph) that matches the data at the 1σ level in the range 0.6 < zph < 1.0. We further analyse the galaxy mock catalogues and compare their clustering to the data using the angular correlation function ω(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.

Cosmology: observations, Cosmology: theory, Large-scale structure of universe, Methods: numerical
0035-8711
94-110
Avila, S.
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Crocce, M.
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Ross, A.J.
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García-Bellido, J.
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Percival, W.J.
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Banik, N.
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Camacho, H.
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Kokron, N.
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Chan, K.C.
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Andrade-Oliveira, F.
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Gomes, R.
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Gomes, D.
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Lima, M.
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Rosenfeld, R.
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Salvador, A.I.
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Friedrich, O.
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Abdalla, F.B.
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Annis, J.
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Bertin, E.
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Brooks, D.
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Carrasco Kind, M.
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Carretero, J.
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Castander, F.J.
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Cunha, C.E.
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da Costa, L.N.
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Davis, C.
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De Vicente, J.
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Doel, P.
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Fosalba, P.
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Frieman, J.
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Gerdes, D.W.
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Gruen, D.
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Gruendl, R.A.
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Gutierrez, G.
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Hartley, W.G.
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Hollowood, D.
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Honscheid, K.
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James, D.J.
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Kuehn, K.
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Kuropatkin, N.
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Miquel, R.
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Plazas, A.A.
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Sanchez, E.
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Scarpine, V.
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Schindler, R.
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Schubnell, M.
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Sevilla-Noarbe, I.
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Smith, M.
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Sobreira, F.
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The Dark Energy Survey Collaboration
Avila, S.
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Crocce, M.
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Ross, A.J.
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García-Bellido, J.
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Percival, W.J.
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Banik, N.
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Camacho, H.
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Kokron, N.
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Chan, K.C.
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Andrade-Oliveira, F.
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Gomes, R.
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Gomes, D.
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Lima, M.
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Rosenfeld, R.
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Salvador, A.I.
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Friedrich, O.
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Abdalla, F.B.
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Annis, J.
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Benoit-Lévy, A.
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Bertin, E.
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Brooks, D.
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Carrasco Kind, M.
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Carretero, J.
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Castander, F.J.
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Cunha, C.E.
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da Costa, L.N.
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Davis, C.
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De Vicente, J.
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Doel, P.
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Fosalba, P.
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Frieman, J.
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Gerdes, D.W.
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Gruen, D.
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Gruendl, R.A.
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Gutierrez, G.
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Hartley, W.G.
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Hollowood, D.
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Honscheid, K.
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James, D.J.
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Kuehn, K.
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Kuropatkin, N.
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Miquel, R.
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Plazas, A.A.
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Sanchez, E.
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Scarpine, V.
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Schindler, R.
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Schubnell, M.
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Sevilla-Noarbe, I.
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Smith, M.
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Sobreira, F.
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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. and Sobreira, F. , The Dark Energy Survey Collaboration (2018) Dark energy survey year-1 results: Galaxy mock catalogues for BAO. Monthly Notices of the Royal Astronomical Society, 479 (1), 94-110. (doi:10.1093/mnras/sty1389).

Record type: Article

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(zph) that matches the data at the 1σ level in the range 0.6 < zph < 1.0. We further analyse the galaxy mock catalogues and compare their clustering to the data using the angular correlation function ω(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.

Full text not available from this repository.

More information

Accepted/In Press date: 21 May 2018
e-pub ahead of print date: 28 May 2018
Published date: 1 September 2018
Keywords: Cosmology: observations, Cosmology: theory, Large-scale structure of universe, Methods: numerical

Identifiers

Local EPrints ID: 423351
URI: https://eprints.soton.ac.uk/id/eprint/423351
ISSN: 0035-8711
PURE UUID: 96a8e7cd-481c-4a3e-acc9-43b21f5eedf6
ORCID for M. Smith: ORCID iD orcid.org/0000-0002-3321-1432

Catalogue record

Date deposited: 20 Sep 2018 16:30
Last modified: 15 Jul 2019 17:02

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Contributors

Author: S. Avila
Author: M. Crocce
Author: A.J. Ross
Author: J. García-Bellido
Author: W.J. Percival
Author: N. Banik
Author: H. Camacho
Author: N. Kokron
Author: K.C. Chan
Author: F. Andrade-Oliveira
Author: R. Gomes
Author: D. Gomes
Author: M. Lima
Author: R. Rosenfeld
Author: A.I. Salvador
Author: O. Friedrich
Author: F.B. Abdalla
Author: J. Annis
Author: A. Benoit-Lévy
Author: E. Bertin
Author: D. Brooks
Author: M. Carrasco Kind
Author: J. Carretero
Author: F.J. Castander
Author: C.E. Cunha
Author: L.N. da Costa
Author: C. Davis
Author: J. De Vicente
Author: P. Doel
Author: P. Fosalba
Author: J. Frieman
Author: D.W. Gerdes
Author: D. Gruen
Author: R.A. Gruendl
Author: G. Gutierrez
Author: W.G. Hartley
Author: D. Hollowood
Author: K. Honscheid
Author: D.J. James
Author: K. Kuehn
Author: N. Kuropatkin
Author: R. Miquel
Author: A.A. Plazas
Author: E. Sanchez
Author: V. Scarpine
Author: R. Schindler
Author: M. Schubnell
Author: I. Sevilla-Noarbe
Author: M. Smith ORCID iD
Author: F. Sobreira

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