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 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 0 ă S{N ă 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 σ 8 , 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 σ 8 pΩ m {0.3q 0.6 " 0.77˘0.07, after marginalising 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 ą 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.

We present a new method to extract cosmological constraints from weak lensing (WL) peak counts, which we denote as `the hierarchical algorithm'. The idea of this method is to combine information from WL maps sequentially smoothed with a series of filters of different size, from the largest down to the smallest, thus increasing the cosmological sensitivity of the resulting peak function. We compare the cosmological constraints resulting from the peak abundance measured in this way and the abundance obtained by using a filter of fixed size, which is the standard practice in WL peak studies. For this purpose, we employ a large set of WL maps generated by ray-tracing through N-body simulations, and the Fisher matrix formalism. We find that if low-S/N peaks are included in the analysis (S/N ~ 3), the hierarchical method yields constraints significantly better than the single-sized filtering. For a large future survey such as Euclid or LSST, combined with information from a CMB experiment like Planck, the results for the hierarchical (single-sized) method are: \Delta n=0.0039 (0.004); \Delta \Omega m=0.002 (0.0045); \Delta \sigma 8=0.003 (0.006); \Delta w=0.019 (0.0525). This forecast is conservative, as we assume no knowledge of the redshifts of the lenses, and consider a single broad bin for the redshifts of the sources. If only peaks with S/N >= 6 are considered, then there is little difference between the results of the two methods. We also examine the statistical properties of the hierarchical peak function: Its covariance matrix has off-diagonal terms for bins with S/N <= 6 and aperture mass of M < 3 x 1e+14 Ms/h, the higher bins being largely uncorrelated and therefore well described by a Poisson distribution.Comment: 17 pages, 13 figures, final version published in MNRA

We present the main results of a numerical study of weak lensing cluster counting. We examine the scaling with cosmology of the projected-density-peak mass function. Our main conclusion is that the projected-peak and the three-dimensional mass functions scale with cosmology in an astonishingly close way. This means that, despite being derived from a two-dimensional field, the weak lensing cluster abundance can be used to constrain cosmology in the same way as the three-dimensional mass function probed by other types of surveys.

We study the ability of weak lensing surveys to detect galaxy clusters and constrain cosmological parameters, in particular the equation of state of dark energy. There are two major sources of noise for weak lensing cluster measurements: the ``shape noise'' from the intrinsic ellipticities of galaxies; and the large scale projection noise. We produce a filter for the shear field which optimizes the signal-to-noise of shape-noise-dominated shear measurements. Our Fisher-matrix analysis of this projected-mass observable makes use of the shape of this mass function, and takes into account the Poisson variance, sample variance, shape noise, and projected-mass noise, and also the fact that the conversion of the shear signal into mass is cosmology-dependent. The Fisher analysis is applied to both a nominal 15,000 square degree ground-based survey and a 1000 square degree space-based survey. Assuming a detection threshold of S/N=5, we find both experiments detect \~20,000 clusters, and yield 1-sigma constraints of ~0.07 for w0 and ~0.2 for wa when combined with CMB data (for flat universe). The projection noise exceeds the shape noise only for clusters at z<=0.1 and has little effect on the derived dark-energy constraints. Sample variance does not significantly affect either survey. Finally, we note that all these results are extremely sensitive to the noise levels and detection thresholds that we impose. They can be significantly improved if we combine ground and space surveys as independent experiments and add their corresponding Fisher matrices.Comment: Accepted for publication in Physical Review