2019
DOI: 10.1093/mnras/stz2157
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The self-similarity of weak lensing peaks

Abstract: We study the statistics of weak lensing convergence peaks, such as their abundance and twopoint correlation function (2PCF), for a wide range of cosmological parameters Ω m and σ 8 within the standard ΛCDM paradigm, focusing on intermediate-height peaks with signal-tonoise 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 … Show more

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Cited by 16 publications
(20 citation statements)
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“…This will be especially interesting in the context of the m -σ 8 degeneracy. Both galaxy voids and WL peaks have been shown to be able to help break this parameter degeneracy (Dietrich & Hartlap 2010;Davies et al 2019a;Nadathur et al 2019), and WL voids may offer another promising avenue to do so.…”
Section: Discussion a N D C O N C L U S I O N Smentioning
confidence: 99%
See 2 more Smart Citations
“…This will be especially interesting in the context of the m -σ 8 degeneracy. Both galaxy voids and WL peaks have been shown to be able to help break this parameter degeneracy (Dietrich & Hartlap 2010;Davies et al 2019a;Nadathur et al 2019), and WL voids may offer another promising avenue to do so.…”
Section: Discussion a N D C O N C L U S I O N Smentioning
confidence: 99%
“…This approach guarantees that void identification is not biased away from large voids due to boundary effects. For more details on our projection method, see appendix A of Davies et al (2019a).…”
Section: Numerical Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Two-point statistics fail to capture this non-Gaussian information and thus yield an incomplete description of the matter distribution at low redshift. To close this gap, the community has recently started to explore non-Gaussian cosmic shear estimators: for example weak-lensing peaks (e.g., Kruse & Schneider 1999, 2000Dietrich & Hartlap 2010;Kratochvil et al 2010;Fan et al 2010;Yang et al 2011;Maturi et al 2011;Hamana et al 2012;Hilbert et al 2012;Marian et al 2012Marian et al , 2013Shan et al 2014Shan et al , 2018Lin & Kilbinger 2015;Martinet et al 2015Martinet et al , 2018Liu et al 2015a,b;Kacprzak et al 2016;Petri et al 2016;Zorrilla Matilla et al 2016;Giocoli et al 2018;Peel et al 2018;Davies et al 2019;Fong et al 2019;Li et al 2019;Weiss et al 2019;Yuan et al 2019;Coulton et al 2020;Ajani et al 2020;Zürcher et al 2021), Minkowski functionals (e.g., Kratochvil et al 2012;Petri et al 2015;Vicinanza et al 2019;Parroni et al 2020;Zürcher et al 2021), higher-order moments (e.g., Van Waerbeke et al 2013;Petri et al 2015;Peel et al 2018;Vicinanza et al 2018;…”
Section: Introductionmentioning
confidence: 99%
“…Hence, cluster abundance is also expected to be useful to constrain this type of model. Davies, Cautun, and Li (2019) used weak-lensing peaks as a proxy of massive dark matter halos and found a strong constraining potential on the nDGP model. Quantitative constraints do not yet exist for other screening models such as symmetron and K-mouflage, although modifications to spherical collapse and hence the halo mass function have been explored (Davis, Li et al, 2012;Taddei, 2013;Brax and Valageas, 2014a;Taddei, Catena, and Pietroni, 2014;Brax, Rizzo, and Valageas, 2015).…”
Section: Cluster Abundancementioning
confidence: 99%