Skip to content
Back to outputs

DES Y1 results: validating cosmological parameter estimation using simulated Dark Energy Surveys

Research output: Contribution to journalArticle

Standard

DES Y1 results : validating cosmological parameter estimation using simulated Dark Energy Surveys. / Dark Energy Survey Collaboration; Avila, S.; D'Andrea, C. B.; Thomas, D.

In: Monthly Notices of the Royal Astronomical Society, Vol. 480, No. 4, 11.11.2018, p. 4614-4635.

Research output: Contribution to journalArticle

Harvard

Dark Energy Survey Collaboration, Avila, S, D'Andrea, CB & Thomas, D 2018, 'DES Y1 results: validating cosmological parameter estimation using simulated Dark Energy Surveys', Monthly Notices of the Royal Astronomical Society, vol. 480, no. 4, pp. 4614-4635. https://doi.org/10.1093/MNRAS/STY1899

APA

Dark Energy Survey Collaboration, Avila, S., D'Andrea, C. B., & Thomas, D. (2018). DES Y1 results: validating cosmological parameter estimation using simulated Dark Energy Surveys. Monthly Notices of the Royal Astronomical Society, 480(4), 4614-4635. https://doi.org/10.1093/MNRAS/STY1899

Vancouver

Dark Energy Survey Collaboration, Avila S, D'Andrea CB, Thomas D. DES Y1 results: validating cosmological parameter estimation using simulated Dark Energy Surveys. Monthly Notices of the Royal Astronomical Society. 2018 Nov 11;480(4):4614-4635. https://doi.org/10.1093/MNRAS/STY1899

Author

Dark Energy Survey Collaboration ; Avila, S. ; D'Andrea, C. B. ; Thomas, D. / DES Y1 results : validating cosmological parameter estimation using simulated Dark Energy Surveys. In: Monthly Notices of the Royal Astronomical Society. 2018 ; Vol. 480, No. 4. pp. 4614-4635.

Bibtex

@article{5e1fb32341e4488ab8fe50ef490092da,
title = "DES Y1 results: validating cosmological parameter estimation using simulated Dark Energy Surveys",
abstract = "We use mock galaxy survey simulations designed to resemble the Dark Energy Survey Year 1 (DES Y1) data to validate and inform cosmological parameter estimation. When similar analysis tools are applied to both simulations and real survey data, they provide powerful validation tests of the DES Y1 cosmological analyses presented in companion papers. We use two suites of galaxy simulations produced using different methods, which therefore provide independent tests of our cosmological parameter inference. The cosmological analysis we aim to validate is presented in DES Collaboration et al. (2017) and uses angular two-point correlation functions of galaxy number counts and weak lensing shear, as well as their crosscorrelation, in multiple redshift bins. While our constraints depend on the specific set of simulated realisations available, for both suites of simulations we find that the input cosmology is consistent with the combined constraints from multiple simulated DES Y1 realizations in the Ωm - σ8 plane. For one of the suites, we are able to show with high confidence that any biases in the inferred S8 = σ8(Ωm/0.3)0.5 and Ωm are smaller than the DES Y1 1-σ uncertainties. For the other suite, for which we have fewer realizations, we are unable to be this conclusive; we infer a roughly 60 per cent (70 per cent) probability that systematic bias in the recovered Ωm (S8) is sub-dominant to the DES Y1 uncertainty. As cosmological analyses of this kind become increasingly more precise, validation of parameter inference using survey simulations will be essential to demonstrate robustness.",
keywords = "Cosmological parameters, Large-scale structure of Universe, RCUK, STFC",
author = "{Dark Energy Survey Collaboration} and N. MacCrann and J. DeRose and Wechsler, {R. H.} and J. Blazek and E. Gaztanaga and M. Crocce and Rykoff, {E. S.} and Becker, {M. R.} and B. Jain and E. Krause and Eifler, {T. F.} and D. Gruen and J. Zuntz and Troxel, {M. A.} and J. Elvin-Poole and J. Prat and M. Wang and S. Dodelson and A. Kravtsov and P. Fosalba and Busha, {M. T.} and Evrard, {A. E.} and D. Huterer and Abbott, {T. M.C.} and Abdalla, {F. B.} and S. Allam and J. Annis and S. Avila and Bernstein, {G. M.} and D. Brooks and E. Buckley-Geer and Burke, {D. L.} and Rosell, {A. Carnero} and Kind, {M. Carrasco} and J. Carretero and Castander, {F. J.} and R. Cawthon and Cunha, {C. E.} and D'Andrea, {C. B.} and {da Costa}, {L. N.} and C. Davis and {De Vicente}, J. and Diehl, {H. T.} and P. Doel and J. Frieman and Marshall, {J. L.} and M. Smith and Smith, {R. C.} and D. Thomas and Walker, {A. R.}",
year = "2018",
month = "11",
day = "11",
doi = "10.1093/MNRAS/STY1899",
language = "English",
volume = "480",
pages = "4614--4635",
journal = "MNRAS",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "4",

}

RIS

TY - JOUR

T1 - DES Y1 results

T2 - validating cosmological parameter estimation using simulated Dark Energy Surveys

AU - Dark Energy Survey Collaboration

AU - MacCrann, N.

AU - DeRose, J.

AU - Wechsler, R. H.

AU - Blazek, J.

AU - Gaztanaga, E.

AU - Crocce, M.

AU - Rykoff, E. S.

AU - Becker, M. R.

AU - Jain, B.

AU - Krause, E.

AU - Eifler, T. F.

AU - Gruen, D.

AU - Zuntz, J.

AU - Troxel, M. A.

AU - Elvin-Poole, J.

AU - Prat, J.

AU - Wang, M.

AU - Dodelson, S.

AU - Kravtsov, A.

AU - Fosalba, P.

AU - Busha, M. T.

AU - Evrard, A. E.

AU - Huterer, D.

AU - Abbott, T. M.C.

AU - Abdalla, F. B.

AU - Allam, S.

AU - Annis, J.

AU - Avila, S.

AU - Bernstein, G. M.

AU - Brooks, D.

AU - Buckley-Geer, E.

AU - Burke, D. L.

AU - Rosell, A. Carnero

AU - Kind, M. Carrasco

AU - Carretero, J.

AU - Castander, F. J.

AU - Cawthon, R.

AU - Cunha, C. E.

AU - D'Andrea, C. B.

AU - da Costa, L. N.

AU - Davis, C.

AU - De Vicente, J.

AU - Diehl, H. T.

AU - Doel, P.

AU - Frieman, J.

AU - Marshall, J. L.

AU - Smith, M.

AU - Smith, R. C.

AU - Thomas, D.

AU - Walker, A. R.

PY - 2018/11/11

Y1 - 2018/11/11

N2 - We use mock galaxy survey simulations designed to resemble the Dark Energy Survey Year 1 (DES Y1) data to validate and inform cosmological parameter estimation. When similar analysis tools are applied to both simulations and real survey data, they provide powerful validation tests of the DES Y1 cosmological analyses presented in companion papers. We use two suites of galaxy simulations produced using different methods, which therefore provide independent tests of our cosmological parameter inference. The cosmological analysis we aim to validate is presented in DES Collaboration et al. (2017) and uses angular two-point correlation functions of galaxy number counts and weak lensing shear, as well as their crosscorrelation, in multiple redshift bins. While our constraints depend on the specific set of simulated realisations available, for both suites of simulations we find that the input cosmology is consistent with the combined constraints from multiple simulated DES Y1 realizations in the Ωm - σ8 plane. For one of the suites, we are able to show with high confidence that any biases in the inferred S8 = σ8(Ωm/0.3)0.5 and Ωm are smaller than the DES Y1 1-σ uncertainties. For the other suite, for which we have fewer realizations, we are unable to be this conclusive; we infer a roughly 60 per cent (70 per cent) probability that systematic bias in the recovered Ωm (S8) is sub-dominant to the DES Y1 uncertainty. As cosmological analyses of this kind become increasingly more precise, validation of parameter inference using survey simulations will be essential to demonstrate robustness.

AB - We use mock galaxy survey simulations designed to resemble the Dark Energy Survey Year 1 (DES Y1) data to validate and inform cosmological parameter estimation. When similar analysis tools are applied to both simulations and real survey data, they provide powerful validation tests of the DES Y1 cosmological analyses presented in companion papers. We use two suites of galaxy simulations produced using different methods, which therefore provide independent tests of our cosmological parameter inference. The cosmological analysis we aim to validate is presented in DES Collaboration et al. (2017) and uses angular two-point correlation functions of galaxy number counts and weak lensing shear, as well as their crosscorrelation, in multiple redshift bins. While our constraints depend on the specific set of simulated realisations available, for both suites of simulations we find that the input cosmology is consistent with the combined constraints from multiple simulated DES Y1 realizations in the Ωm - σ8 plane. For one of the suites, we are able to show with high confidence that any biases in the inferred S8 = σ8(Ωm/0.3)0.5 and Ωm are smaller than the DES Y1 1-σ uncertainties. For the other suite, for which we have fewer realizations, we are unable to be this conclusive; we infer a roughly 60 per cent (70 per cent) probability that systematic bias in the recovered Ωm (S8) is sub-dominant to the DES Y1 uncertainty. As cosmological analyses of this kind become increasingly more precise, validation of parameter inference using survey simulations will be essential to demonstrate robustness.

KW - Cosmological parameters

KW - Large-scale structure of Universe

KW - RCUK

KW - STFC

UR - http://www.scopus.com/inward/record.url?scp=85055283909&partnerID=8YFLogxK

U2 - 10.1093/MNRAS/STY1899

DO - 10.1093/MNRAS/STY1899

M3 - Article

AN - SCOPUS:85055283909

VL - 480

SP - 4614

EP - 4635

JO - MNRAS

JF - MNRAS

SN - 0035-8711

IS - 4

ER -

ID: 11930224