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The self similarity of weak lensing peaks

Davies, Christopher T.; Cautun, Marius; Li, Baojiu

The self similarity of weak lensing peaks Thumbnail


Authors

Christopher T. Davies

Marius Cautun



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 Ωm and σ8 within the standard ΛCDM 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 ∼3%. 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 ∼5%. The abundance and 2PCFs for intermediate peaks have very different dependencies on Ωm and σ8, implying that their combination can be used to break the degeneracy between these two parameters.

Journal Article Type Article
Acceptance Date Jul 30, 2019
Online Publication Date Aug 8, 2019
Publication Date Oct 31, 2019
Deposit Date Jun 17, 2019
Publicly Available Date Aug 21, 2019
Journal Monthly Notices of the Royal Astronomical Society
Print ISSN 0035-8711
Electronic ISSN 1365-2966
Publisher Royal Astronomical Society
Peer Reviewed Peer Reviewed
Volume 488
Issue 4
Pages 5833-5851
DOI https://doi.org/10.1093/mnras/stz2157
Public URL https://durham-repository.worktribe.com/output/1294195

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Copyright Statement
This article has been accepted for publication in the Monthly notices of the Royal Astronomical Society ©: 2019 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.







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