Optimal void finders in weak lensing maps

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dc.contributor.authorDavies, Christopher T.
dc.contributor.authorPaillas, Enrique
dc.contributor.authorCautun, Marius
dc.contributor.authorLi, Baojiu
dc.date.accessioned2025-01-20T23:54:53Z
dc.date.available2025-01-20T23:54:53Z
dc.date.issued2021
dc.description.abstractCosmic voids are a key component of the large-scale structure that contain a plethora of cosmological information. Typically, voids are identified from the underlying galaxy distribution, which is a biased tracer of the total matter field. Previous works have shown that 2D voids identified in weak lensing (WL) maps - WL voids - correspond better to true underdense regions along the line of sight. In this work, we study how the properties of WL voids depend on the choice of void finder, by adapting several popular void finders. We present and discuss the differences between identifying voids directly in the convergence maps, and in the distribution of WL peaks. Particular effort has been made to test how these results are affected by galaxy shape noise (GSN), which is a dominant source of noise in WL observations. By studying the signal-to-noise ratios (S/N) for the tangential shear profile of each void finder, we find that voids identified directly in the convergence maps have the highest S/N but are also the ones most affected by GSN. Troughs are least affected by noise, but also have the lowest S/N. The tunnel algorithm, which identifies voids in the distribution of WL peaks, represents a good compromise between finding a large tangential shear S/N and mitigating the effect of GSN.
dc.fuente.origenWOS
dc.identifier.doi10.1093/mnras/staa3262
dc.identifier.eissn1365-2966
dc.identifier.issn0035-8711
dc.identifier.urihttps://doi.org/10.1093/mnras/staa3262
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/95057
dc.identifier.wosidWOS:000605983000066
dc.issue.numero2
dc.language.isoen
dc.pagina.final2439
dc.pagina.inicio2417
dc.revistaMonthly notices of the royal astronomical society
dc.rightsacceso restringido
dc.subjectgravitational lensing: weak
dc.subjectmethods: data analysis
dc.subjectlarge-scale structure of Universe
dc.subjectcosmology: theory
dc.titleOptimal void finders in weak lensing maps
dc.typeartículo
dc.volumen500
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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