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The self similarity of weak lensing peaks

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arxiv 1905.01710 v2 pith:6X62SMBB submitted 2019-05-05 astro-ph.CO

classification astro-ph.CO
keywords peakabundancepeakspcfsclusteringdifferentfittinglensing
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abstract

We study the statistics of weak lensing convergence peaks, such as their abundance and two-point correlation function (2PCF), for a wide range of cosmological parameters $\Omega_m$ and $\sigma_8$ within the standard $\Lambda$CDM paradigm, focusing on intermediate-height peaks with signal-to-noise ratio (SNR) of $1.5$ to $3.5$. We find that the cosmology dependence of the peak abundance can be described by a one-parameter fitting formula that is accurate to within $\sim3\%$. The peak 2PCFs are shown to feature a self-similar behaviour: if the peak separation is rescaled by the mean inter-peak distance, catalogues with different minimum peak SNR values have identical clustering, which suggests that the peak abundance and clustering are closely interconnected. A simple fitting model for the rescaled 2PCF is given, which together with the peak abundance model above can predict peak 2PCFs with an accuracy better than $\sim5\%$. The abundance and 2PCFs for intermediate peaks have very different dependencies on $\Omega_m$ and $\sigma_8$, implying that their combination can be used to break the degeneracy between these two parameters.

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  1. Cosmological constraining power of the redshifts, heights, and angular clustering of weak gravitational lensing peaks

    astro-ph.CO 2026-07 conditional novelty 5.0 of 10

    In an idealized Euclid-like simulation forecast, the combined redshift distribution, height distribution, and angular clustering of weak-lensing peaks constrain cosmology better than shear two-point correlation functi...

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