期刊
PHYSICAL REVIEW D
卷 91, 期 6, 页码 -出版社
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevD.91.063507
关键词
-
资金
- State of New York
- U.S. Department of Energy [DE-AC02-98CH10886, DE-SC0012704]
- NSF [AST-1210877]
- Research Opportunities and Approaches to Data Science (ROADS) program at the Institute for Data Sciences and Engineering at Columbia University
- [ACI-1053575]
- Division Of Astronomical Sciences
- Direct For Mathematical & Physical Scien [1210877] Funding Source: National Science Foundation
Lensing peaks have been proposed as a useful statistic, containing cosmological information from non-Gaussianities that is inaccessible from traditional two-point statistics such as the power spectrum or two-point correlation functions. Here we examine constraints on cosmological parameters from weak lensing peak counts, using the publicly available data from the 154 deg(2) CFHTLenS survey. We utilize a new suite of ray-tracing N-body simulations on a grid of 91 cosmological models covering broad ranges of the three parameters Omega(m), sigma(8), and w, and replicating the Galaxy sky positions, redshifts, and shape noise in the CFHTLenS observations. We then build an emulator that interpolates the power spectrum and the peak counts to an accuracy of <= 5%, and compute the likelihood in the three-dimensional parameter space (Omega(m), sigma(8), w) from both observables. We find that constraints from peak counts are comparable to those from the power spectrum, and somewhat tighter when different smoothing scales are combined. Neither observable can constrain w without external data. When the power spectrum and peak counts are combined, the area of the error banana in the (Omega(m), sigma(8)) plane reduces by a factor of approximate to 2, compared to using the power spectrum alone. For a flat. cold dark matter model, combining both statistics, we obtain the constraint sigma(8)(Omega(m)/0.27)(0.63) = 0.85(-0.03)(+0.03).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据