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

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 m...

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Bibliographic Details
Published in:Monthly notices of the Royal Astronomical Society 2016-12, Vol.463 (4), p.3653-3653
Main Authors: Kacprzak, T, Kirk, D, Friedrich, O, Amara, A, Refregier, A, Marian, L, Dietrich, J P, Suchyta, E, Aleksic, 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, Melchior, P, Nicola, A, Samuroff, S, Sheldon, E, Troxel, M A, Weller, J, Zuntz, J, Abbott, T M C, Abdalla, F B, Armstrong, R, Benoit-Levy, A, Bernstein, G M, Bernstein, R A, Bertin, E, Brooks, D, Burke, D L, Rosell, A Carnero, Kind, M Carrasco, Carretero, J, Castander, F J, Crocce, M, D'Andrea, C B, da Costa, L N, Desai, S, Diehl, H T, Evrard, A E, Neto, A Fausti, Flaugher, B, Fosalba, P, Frieman, J, Gerdes, D W, et. al
Format: Article
Language:English
Subjects:
Aperture
ASTRONOMY AND ASTROPHYSICS
Astrophysics
cosmological parameter
Cosmology
cosmology: observations
Dark energy
dark matter
gravitational lensing: weak
Mathematical models
methods: data analysis
methods: statistical
Parameters
PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
Red shift
Sciences of the Universe
Shear
Signal to noise ratio
Simulation
Sky surveys (astronomy)
Statistical analysis
Statistics
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Summary: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 deg super( 2) 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 ... To predict the peak counts as a function of cosmological parameters, we use a suite of N-body simulations spanning 158 models with varying ... and ..., fixing ..., to which we have applied the DES SV mask and redshift distribution. In our fiducial analysis we measure ..., 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 ... 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. (ProQuest: ... denotes formulae/symbols omitted.)
ISSN:0035-8711
1365-2966
DOI:10.1093/mnras/stw2070