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

The DES Collaboration

doi:10.1093/mnras/stw2070

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

The DES Collaboration

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Abstract

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 Ω_m and σ₈, fixing w=-1, Ω_b = 0.04, h = 0.7 and n_s = 1, to which we have applied the DES SV mask and redshift distribution. In our fiducial analysis we measure σ₈(Ω_m/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
Number of pages	21
Journal	Monthly Notices of the Royal Astronomical Society
Volume	463
Issue number	4
DOIs	https://doi.org/10.1093/mnras/stw2070
State	Published - Dec 21 2016

Funding

We are grateful for the extraordinary contributions of our CTIO colleagues and the DECam Construction, Commissioning and Science Verification teams in achieving the excellent instrument and telescope conditions that have made this work possible. The success of this project also relies critically on the expertise and dedication of the DES Data Management group. Funding for the DES Projects has been provided by the US Department of Energy, the US National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology FacilitiesCouncil of theUnitedKingdom, theHigher Education Funding Council for England, the NationalCenter for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Funda\u00E7\u00E3o Carlos Chagas Filho de Amparo \u00E0 Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Cient\u00EDfico e Tecnol\u00F3gico and the Minist\u00E9rio da Ciencia, Tecnologia e Inova\u00E7\u00E3o, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energ\u00E9ticas, Medioambientales y Tecnol\u00F3gicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgen\u00F6ssische Technische Hochschule (ETH) Z\u00FCrich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ci\u00E8ncies de l'Espai (IEEC/CSIC), the Institut de F\u00EDsica d'Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universit\u00E4t M\u00FCnchen and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, and Texas A&M University. The DES data management system is supported by the National Science Foundation under Grant Number AST-1138766. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2012-39559, ESP2013-48274, FPA2013-47986 and Centro de Excelencia Severo Ochoa SEV-2012-0234. Research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013) including ERC grant agreements 240672, 291329 and 306478. This research used resources of the Calcul Quebec computing consortium, part of the Compute Canada network. DK acknowledges support from a European Research Council Advanced Grant FP7/291329. TK thanks the support of ETHZ ISG and the Brutus cluster team. OF was supported by SFB-Transregio 33 'The Dark Universe' by the Deutsche Forschungsgemeinschaft (DFG).

Keywords

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

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10.1093/mnras/stw2070

Cite this

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

abstract = "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 = "{The DES Collaboration} and 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.}",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors.",

year = "2016",

month = dec,

day = "21",

doi = "10.1093/mnras/stw2070",

language = "English",

volume = "463",

pages = "3653--3673",

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

AU - The DES Collaboration

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.

PY - 2016/12/21

Y1 - 2016/12/21

N2 - 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 - 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

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U2 - 10.1093/mnras/stw2070

DO - 10.1093/mnras/stw2070

M3 - Article

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SN - 0035-8711

VL - 463

SP - 3653

EP - 3673

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

IS - 4

ER -

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

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Keywords

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