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Simulation-based marginal likelihood for cluster strong lensing cosmology

Killedar, M.
•
Borgani, S.
•
Fabjan, D.
altro
Ragone-Figueroa, C.
2018
  • journal article

Periodico
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Abstract
Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with Λ cold dark matter cosmology. However, standard approaches to such cosmological tests are unable to quantify the preference for one cosmology over another. We advocate approximating the relevant Bayes factor using a marginal likelihood that is based on the following summary statistic: the posterior probability distribution function for the parameters of the scaling relation between Einstein radii and cluster mass, α and β. We demonstrate, for the first time, a method of estimating the marginal likelihood using the X-ray selected z > 0.5 Massive Cluster Survey clusters as a case in point and employing both N-body and hydrodynamic simulations of clusters. We investigate the uncertainty in this estimate and consequential ability to compare competing cosmologies, which arises from incomplete descriptions of baryonic processes, discrepancies in cluster selection criteria, redshift distribution and dynamical state. The relation between triaxial cluster masses at various overdensities provides a promising alternative to the strong lensing test.
DOI
10.1093/mnras/stx2262
WOS
WOS:000423731200025
Archivio
http://hdl.handle.net/11368/2914702
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85045940130
https://academic.oup.com/mnras/article/473/2/1736/4111158
Diritti
open access
license:digital rights management non definito
FVG url
https://arts.units.it/bitstream/11368/2914702/1/stx2262.pdf
Soggetti
  • gravitational lensing...

  • methods: numerical

  • methods: statistical

  • galaxies: clusters: g...

  • cosmology: theory

Web of Science© citazioni
4
Data di acquisizione
Mar 26, 2024
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