Cluster strong lensing: a new strategy for testing cosmology with simulations

KILLEDAR, M.; BORGANI, S.; FABJAN, D.; DOLAG, K.; GRANATO, G. L.; MENEGHETTI, M.; PLANELLES, S.; RAGONE FIGUEROA C.

Lisboa

Simposio; Statistical Challenges in 21st Century; 2015

International Astronomical Union

Comparisons between observed and predicted strong lensing properties of galaxy clusters have been used to claim either tension or consistency with ΛCDM cosmology. However, standard approaches to such tests are unable to quantify the preference for one cosmology over another. We advocate a Bayesian approach whereby the parameters defining the scaling relation between Einstein radii and cluster mass are treated as the observables. We demonstrate a method of estimating the likelihood for observing these parameters under the ΛCDM framework, using the X-ray selected z > 0.5 MACS clusters as a case in point and employing both N-body and hydrodynamic simulations of clusters. We account for cluster lens triaxiality within the modelling of the likelihood function. Cluster selection criteria is found to play as important a role as the uncertainty related to the description of star formation and feedback.