Starlet higher order statistics for galaxy clustering and weak lensing

被引:5
作者
Ajani, Virginia [1 ,2 ]
Harnois-Deraps, Joachim [3 ]
Pettorino, Valeria [1 ]
Starck, Jean-Luc [1 ]
机构
[1] Univ Paris Saclay, Univ Paris Cite, CEA, CNRS,AIM, F-91191 Saclay, France
[2] Swiss Fed Inst Technol, Inst Particle Phys & Astrophys, Dept Phys, Wolfgang Pauli Str 27, CH-8093 Zurich, Switzerland
[3] Newcastle Univ, Sch Math Stat & Phys, Herschel Bldg, Newcastle Upon Tyne NE1 7RU, England
基金
瑞士国家科学基金会;
关键词
large-scale structure of Universe - methods; statistical; cosmological parameters; RESULTS COSMOLOGICAL CONSTRAINTS; COSMIC SHEAR; PEAK COUNTS; DARK-MATTER; NEW-MODEL; COVARIANCE;
D O I
10.1051/0004-6361/202245510
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We present a first application to photometric galaxy clustering and weak lensing of wavelet-based multi-scale (beyond two points) summary statistics: starlet peak counts and starlet integral(1)-norm. Peak counts are the local maxima in the map, and integral(1)-norm is computed via the sum of the absolute values of the starlet (wavelet) decomposition coe fficients of a map, providing a fast multi-scale calculation of the pixel distribution, encoding the information of all pixels in the map. We employ the cosmo-SLICS simulations sources and lens catalogues, and we compute wavelet-based non-Gaussian statistics in the context of combined probes and their potential when applied to the weak-lensing convergence maps and galaxy maps. We obtain forecasts on the matter density parameter Omega(m), the reduced Hubble constant h, the matter fluctuation amplitude sigma 8, and the dark energy equation of state parameter w0. In our setting for this first application, we consider the two probes to be independent. We find that the starlet peaks and the integral-norm represent interesting summary statistics that can improve the constraints with respect to the power spectrum, even in the case of photometric galaxy clustering and when the two probes are combined.
引用
收藏
页数:8
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