Weak lensing peak statistics -- steepness versus height
Ziwei Li, Xiangkun Liu, Zuhui Fan

TL;DR
This study compares peak steepness and height statistics in weak lensing to determine which better constrains cosmological parameters, finding steepness offers higher sensitivity under ideal conditions, influenced by large-scale structure projection effects.
Contribution
The paper introduces a theoretical model for peak steepness statistics and compares its cosmological sensitivity to peak height, highlighting the potential advantages of steepness in weak lensing analyses.
Findings
Peak steepness has higher sensitivity to cosmological parameters than peak height.
Sensitivity advantage of steepness diminishes with increased shape noise.
Projection effects from large-scale structures enhance the information content of steepness statistics.
Abstract
In weak-lensing cosmological studies, peak statistics is sensitive to nonlinear structures and thus complementary to cosmic shear two-point correlations. In this paper, we explore a new approach, namely, the peak steepness statistics, with the overall goal to understand the cosmological information embedded there in comparison with the commonly used peak height statistics. We perform the analyses with ray-tracing simulations considering different sets of cosmological parameters and . A theoretical model to calculate the abundance of high peaks based on steepness is also presented, which can well describe the main trend of the peak distribution from simulations. We employ and Fisher analyses to study the cosmological dependence of the two peak statistics using our limited sets of simulations as well as our theoretical model. Within our…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories · Astronomy and Astrophysical Research
