SIMBAD references

The tidal gravitational field of a cluster distorts the shapes of background galaxies. This signature can be used to place constraints on the mass profile of the cluster, using a maximum likelihood analysis to find the best-fit parameterised model. In Schneider et al. (2000A&A...353...41S) and King & Schneider (2001A&A...369....1K) we investigated how accurately parameters can be obtained, concentrating on smooth profiles. Here, we consider a realistic model for substructure in a cluster (from N-body simulations), in order to see what influence this has on the recovery of parameters. We find that for a typical cluster at z_d=0.2, the presence of substructure increases the error on parameters recovered from weak lensing data by ≃3%. Even doubling the substructure amplitude induces only a ≃10% increase in the parameter dispersion: this bodes well for our method.