Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data

T. Kacprzak; D. Kirk; O. Friedrich; A. Amara; A. Refregier; L. Marian; J. P. Dietrich; E. Suchyta; J. Aleksić; D. Bacon; M. R. Becker; C. Bonnett; S. L. Bridle; C. Chang; T. F. Eifler; W. G. Hartley; E. M. Huff; E. Krause; N. MacCrann; P. Melchior; A. Nicola; S. Samuroff; E. Sheldon; M. A. Troxel; J. Weller; J. Zuntz; T. M.C. Abbott; F. B. Abdalla; R. Armstrong; A. Benoit-Lévy; G. M. Bernstein; R. A. Bernstein; E. Bertin; D. Brooks; D. L. Burke; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; F. J. Castander; M. Crocce; C. B. D'Andrea; L. N. da Costa; S. Desai; H. T. Diehl; A. E. Evrard; A. Fausti Neto; B. Flaugher; P. Fosalba; J. Frieman; D. W. Gerdes; D. A. Goldstein; D. Gruen; R. A. Gruendl; G. Gutierrez; K. Honscheid; B. Jain; D. J. James; M. Jarvis; K. Kuehn; N. Kuropatkin; O. Lahav; M. Lima; M. March; J. L. Marshall; P. Martini; C. J. Miller; R. Miquel; J. J. Mohr; R. C. Nichol; B. Nord; A. A. Plazas; A. K. Romer; A. Roodman; E. S. Rykoff; E. Sanchez; V. Scarpine; M. Schubnell; I. Sevilla-Noarbe; R. C. Smith; M. Soares-Santos; F. Sobreira; M. E.C. Swanson; G. Tarle; D. Thomas; V. Vikram; A. R. Walker; Y. Zhang

doi:10.1093/mnras/stw2070

Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data

T. Kacprzak, D. Kirk, O. Friedrich, A. Amara, A. Refregier, L. Marian, J. P. Dietrich, E. Suchyta, J. Aleksić, D. Bacon, M. R. Becker, C. Bonnett, S. L. Bridle, C. Chang, T. F. Eifler, W. G. Hartley, E. M. Huff, E. Krause, N. MacCrann, P. MelchiorA. Nicola, S. Samuroff, E. Sheldon, M. A. Troxel, J. Weller, J. Zuntz, T. M.C. Abbott, F. B. Abdalla, R. Armstrong, A. Benoit-Lévy, G. M. Bernstein, R. A. Bernstein, E. Bertin, D. Brooks, D. L. Burke, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, F. J. Castander, M. Crocce, C. B. D'Andrea, L. N. da Costa, S. Desai, H. T. Diehl, A. E. Evrard, A. Fausti Neto, B. Flaugher, P. Fosalba, J. Frieman, D. W. Gerdes, D. A. Goldstein, D. Gruen, R. A. Gruendl, G. Gutierrez, K. Honscheid, B. Jain, D. J. James, M. Jarvis, K. Kuehn, N. Kuropatkin, O. Lahav, M. Lima, M. March, J. L. Marshall, P. Martini, C. J. Miller, R. Miquel, J. J. Mohr, R. C. Nichol, B. Nord, A. A. Plazas, A. K. Romer, A. Roodman, E. S. Rykoff, E. Sanchez, V. Scarpine, M. Schubnell, I. Sevilla-Noarbe, R. C. Smith, M. Soares-Santos, F. Sobreira, M. E.C. Swanson, G. Tarle, D. Thomas, V. Vikram, A. R. Walker, Y. Zhang

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Abstract

© 2016 The Authors. Shear peak statistics has gained a lot of attention recently as a practical alternative to the two-point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from a 139 deg2 field. We measure the abundance of peaks identified in aperture mass maps, as a function of their signal-to-noise ratio, in the signal-to-noise range 0 < S/N < 4. To predict the peak counts as a function of cosmological parameters, we use a suite of N-body simulations spanning 158 models with varying Ωm and σ8, fixing w=-1, Ωb = 0.04, h = 0.7 and ns = 1, to which we have applied the DES SV mask and redshift distribution. In our fiducial analysis we measure σ8(Ωm/0.3)0.6 = 0.77 ± 0.07, after marginalizing over the shear multiplicative bias and the error on the mean redshift of the galaxy sample. We introduce models of intrinsic alignments, blending and source contamination by cluster members. These models indicate that peaks with S/N > 4 would require significant corrections, which is why we do not include them in our analysis. We compare our results to the cosmological constraints from the two-point analysis on the SV field and find them to be in good agreement in both the central value and its uncertainty. We discuss prospects for future peak statistics analysis with upcoming DES data.

Original language	English
Pages (from-to)	3653-3673
Journal	Monthly Notices of the Royal Astronomical Society
Volume	463
Issue number	4
DOIs	https://doi.org/10.1093/mnras/stw2070
Publication status	Published - 1 Jan 2016

Keywords

Cosmological parameter
Cosmology: observations
Dark matter
Gravitational lensing: weak
Methods: data analysis
Methods: statistical

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10.1093/mnras/stw2070

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Kacprzak, T., Kirk, D., Friedrich, O., Amara, A., Refregier, A., Marian, L., Dietrich, J. P., Suchyta, E., Aleksić, J., Bacon, D., Becker, M. R., Bonnett, C., Bridle, S. L., Chang, C., Eifler, T. F., Hartley, W. G., Huff, E. M., Krause, E., MacCrann, N., ... Zhang, Y. (2016). Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data. Monthly Notices of the Royal Astronomical Society, 463(4), 3653-3673. https://doi.org/10.1093/mnras/stw2070

@article{709d44c88b5c4945adef98d2835a5e29,

title = "Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data",

abstract = "{\textcopyright} 2016 The Authors. Shear peak statistics has gained a lot of attention recently as a practical alternative to the two-point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from a 139 deg2 field. We measure the abundance of peaks identified in aperture mass maps, as a function of their signal-to-noise ratio, in the signal-to-noise range 0 < S/N < 4. To predict the peak counts as a function of cosmological parameters, we use a suite of N-body simulations spanning 158 models with varying Ωm and σ8, fixing w=-1, Ωb = 0.04, h = 0.7 and ns = 1, to which we have applied the DES SV mask and redshift distribution. In our fiducial analysis we measure σ8(Ωm/0.3)0.6 = 0.77 ± 0.07, after marginalizing over the shear multiplicative bias and the error on the mean redshift of the galaxy sample. We introduce models of intrinsic alignments, blending and source contamination by cluster members. These models indicate that peaks with S/N > 4 would require significant corrections, which is why we do not include them in our analysis. We compare our results to the cosmological constraints from the two-point analysis on the SV field and find them to be in good agreement in both the central value and its uncertainty. We discuss prospects for future peak statistics analysis with upcoming DES data.",

keywords = "Cosmological parameter, Cosmology: observations, Dark matter, Gravitational lensing: weak, Methods: data analysis, Methods: statistical",

author = "T. Kacprzak and D. Kirk and O. Friedrich and A. Amara and A. Refregier and L. Marian and Dietrich, {J. P.} and E. Suchyta and J. Aleksi{\'c} and D. Bacon and Becker, {M. R.} and C. Bonnett and Bridle, {S. L.} and C. Chang and Eifler, {T. F.} and Hartley, {W. G.} and Huff, {E. M.} and E. Krause and N. MacCrann and P. Melchior and A. Nicola and S. Samuroff and E. Sheldon and Troxel, {M. A.} and J. Weller and J. Zuntz and Abbott, {T. M.C.} and Abdalla, {F. B.} and R. Armstrong and A. Benoit-L{\'e}vy and Bernstein, {G. M.} and Bernstein, {R. A.} and E. Bertin and D. Brooks and Burke, {D. L.} and {Carnero Rosell}, A. and {Carrasco Kind}, M. and J. Carretero and Castander, {F. J.} and M. Crocce and D'Andrea, {C. B.} and {da Costa}, {L. N.} and S. Desai and Diehl, {H. T.} and Evrard, {A. E.} and {Fausti Neto}, A. and B. Flaugher and P. Fosalba and J. Frieman and Gerdes, {D. W.} and Goldstein, {D. A.} and D. Gruen and Gruendl, {R. A.} and G. Gutierrez and K. Honscheid and B. Jain and James, {D. J.} and M. Jarvis and K. Kuehn and N. Kuropatkin and O. Lahav and M. Lima and M. March and Marshall, {J. L.} and P. Martini and Miller, {C. J.} and R. Miquel and Mohr, {J. J.} and Nichol, {R. C.} and B. Nord and Plazas, {A. A.} and Romer, {A. K.} and A. Roodman and Rykoff, {E. S.} and E. Sanchez and V. Scarpine and M. Schubnell and I. Sevilla-Noarbe and Smith, {R. C.} and M. Soares-Santos and F. Sobreira and Swanson, {M. E.C.} and G. Tarle and D. Thomas and V. Vikram and Walker, {A. R.} and Y. Zhang",

year = "2016",

month = jan,

day = "1",

doi = "10.1093/mnras/stw2070",

language = "English",

volume = "463",

pages = "3653--3673",

journal = "Monthly Notices of the Royal Astronomical Society",

issn = "0035-8711",

number = "4",

}

Kacprzak, T, Kirk, D, Friedrich, O, Amara, A, Refregier, A, Marian, L, Dietrich, JP, Suchyta, E, Aleksić, J, Bacon, D, Becker, MR, Bonnett, C, Bridle, SL, Chang, C, Eifler, TF, Hartley, WG, Huff, EM, Krause, E, MacCrann, N, Melchior, P, Nicola, A, Samuroff, S, Sheldon, E, Troxel, MA, Weller, J, Zuntz, J, Abbott, TMC, Abdalla, FB, Armstrong, R, Benoit-Lévy, A, Bernstein, GM, Bernstein, RA, Bertin, E, Brooks, D, Burke, DL, Carnero Rosell, A, Carrasco Kind, M, Carretero, J, Castander, FJ, Crocce, M, D'Andrea, CB, da Costa, LN, Desai, S, Diehl, HT, Evrard, AE, Fausti Neto, A, Flaugher, B, Fosalba, P, Frieman, J, Gerdes, DW, Goldstein, DA, Gruen, D, Gruendl, RA, Gutierrez, G, Honscheid, K, Jain, B, James, DJ, Jarvis, M, Kuehn, K, Kuropatkin, N, Lahav, O, Lima, M, March, M, Marshall, JL, Martini, P, Miller, CJ, Miquel, R, Mohr, JJ, Nichol, RC, Nord, B, Plazas, AA, Romer, AK, Roodman, A, Rykoff, ES, Sanchez, E, Scarpine, V, Schubnell, M, Sevilla-Noarbe, I, Smith, RC, Soares-Santos, M, Sobreira, F, Swanson, MEC, Tarle, G, Thomas, D, Vikram, V, Walker, AR & Zhang, Y 2016, 'Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data', Monthly Notices of the Royal Astronomical Society, vol. 463, no. 4, pp. 3653-3673. https://doi.org/10.1093/mnras/stw2070

TY - JOUR

T1 - Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data

AU - Kacprzak, T.

AU - Kirk, D.

AU - Friedrich, O.

AU - Amara, A.

AU - Refregier, A.

AU - Marian, L.

AU - Dietrich, J. P.

AU - Suchyta, E.

AU - Aleksić, J.

AU - Bacon, D.

AU - Becker, M. R.

AU - Bonnett, C.

AU - Bridle, S. L.

AU - Chang, C.

AU - Eifler, T. F.

AU - Hartley, W. G.

AU - Huff, E. M.

AU - Krause, E.

AU - MacCrann, N.

AU - Melchior, P.

AU - Nicola, A.

AU - Samuroff, S.

AU - Sheldon, E.

AU - Troxel, M. A.

AU - Weller, J.

AU - Zuntz, J.

AU - Abbott, T. M.C.

AU - Abdalla, F. B.

AU - Armstrong, R.

AU - Benoit-Lévy, A.

AU - Bernstein, G. M.

AU - Bernstein, R. A.

AU - Bertin, E.

AU - Brooks, D.

AU - Burke, D. L.

AU - Carnero Rosell, A.

AU - Carrasco Kind, M.

AU - Carretero, J.

AU - Castander, F. J.

AU - Crocce, M.

AU - D'Andrea, C. B.

AU - da Costa, L. N.

AU - Desai, S.

AU - Diehl, H. T.

AU - Evrard, A. E.

AU - Fausti Neto, A.

AU - Flaugher, B.

AU - Fosalba, P.

AU - Frieman, J.

AU - Gerdes, D. W.

AU - Goldstein, D. A.

AU - Gruen, D.

AU - Gruendl, R. A.

AU - Gutierrez, G.

AU - Honscheid, K.

AU - Jain, B.

AU - James, D. J.

AU - Jarvis, M.

AU - Kuehn, K.

AU - Kuropatkin, N.

AU - Lahav, O.

AU - Lima, M.

AU - March, M.

AU - Marshall, J. L.

AU - Martini, P.

AU - Miller, C. J.

AU - Miquel, R.

AU - Mohr, J. J.

AU - Nichol, R. C.

AU - Nord, B.

AU - Plazas, A. A.

AU - Romer, A. K.

AU - Roodman, A.

AU - Rykoff, E. S.

AU - Sanchez, E.

AU - Scarpine, V.

AU - Schubnell, M.

AU - Sevilla-Noarbe, I.

AU - Smith, R. C.

AU - Soares-Santos, M.

AU - Sobreira, F.

AU - Swanson, M. E.C.

AU - Tarle, G.

AU - Thomas, D.

AU - Vikram, V.

AU - Walker, A. R.

AU - Zhang, Y.

PY - 2016/1/1

Y1 - 2016/1/1

N2 - © 2016 The Authors. Shear peak statistics has gained a lot of attention recently as a practical alternative to the two-point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from a 139 deg2 field. We measure the abundance of peaks identified in aperture mass maps, as a function of their signal-to-noise ratio, in the signal-to-noise range 0 < S/N < 4. To predict the peak counts as a function of cosmological parameters, we use a suite of N-body simulations spanning 158 models with varying Ωm and σ8, fixing w=-1, Ωb = 0.04, h = 0.7 and ns = 1, to which we have applied the DES SV mask and redshift distribution. In our fiducial analysis we measure σ8(Ωm/0.3)0.6 = 0.77 ± 0.07, after marginalizing over the shear multiplicative bias and the error on the mean redshift of the galaxy sample. We introduce models of intrinsic alignments, blending and source contamination by cluster members. These models indicate that peaks with S/N > 4 would require significant corrections, which is why we do not include them in our analysis. We compare our results to the cosmological constraints from the two-point analysis on the SV field and find them to be in good agreement in both the central value and its uncertainty. We discuss prospects for future peak statistics analysis with upcoming DES data.

AB - © 2016 The Authors. Shear peak statistics has gained a lot of attention recently as a practical alternative to the two-point statistics for constraining cosmological parameters. We perform a shear peak statistics analysis of the Dark Energy Survey (DES) Science Verification (SV) data, using weak gravitational lensing measurements from a 139 deg2 field. We measure the abundance of peaks identified in aperture mass maps, as a function of their signal-to-noise ratio, in the signal-to-noise range 0 < S/N < 4. To predict the peak counts as a function of cosmological parameters, we use a suite of N-body simulations spanning 158 models with varying Ωm and σ8, fixing w=-1, Ωb = 0.04, h = 0.7 and ns = 1, to which we have applied the DES SV mask and redshift distribution. In our fiducial analysis we measure σ8(Ωm/0.3)0.6 = 0.77 ± 0.07, after marginalizing over the shear multiplicative bias and the error on the mean redshift of the galaxy sample. We introduce models of intrinsic alignments, blending and source contamination by cluster members. These models indicate that peaks with S/N > 4 would require significant corrections, which is why we do not include them in our analysis. We compare our results to the cosmological constraints from the two-point analysis on the SV field and find them to be in good agreement in both the central value and its uncertainty. We discuss prospects for future peak statistics analysis with upcoming DES data.

KW - Cosmological parameter

KW - Cosmology: observations

KW - Dark matter

KW - Gravitational lensing: weak

KW - Methods: data analysis

KW - Methods: statistical

U2 - 10.1093/mnras/stw2070

DO - 10.1093/mnras/stw2070

M3 - Article

VL - 463

SP - 3653

EP - 3673

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

SN - 0035-8711

IS - 4

ER -

Cosmology constraints from shear peak statistics in Dark Energy Survey Science Verification data

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