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We introduce an optimized data vector of cosmic shear measures (N). This datavector has high information content, is not sensitive against B-modecontamination and only shows small correlation between data points of differentangular scales. We show that a data vector of the two-point correlationfunction (2PCF) in general contains more information on cosmological parameterscompared to a data vector of the aperture mass dispersion. Reason for this isthe fact that <M_ap^2> lacks the information of the convergence power spectrum(P_\kappa) on large angular scales, which is contained in the 2PCF data vector.Therefore we create a combined data vector N, which retains the advantages of<M_ap^2> and in addition is also sensitive to the large-scale information ofP_\kappa. We compare the information content of the three data vectors byperforming a detailed likelihood analysis and use ray-tracing simulations toderive the covariance matrices. In the last part of the paper we contaminateall data vectors with B-modes on small angular scales and examine theirrobustness against this contamination.The combined data vector stronglyimproves constraints on cosmological parameters compared to <M_ap^2>. Although,in case of a pure E-mode signal the information content of the 2PCF is higher,in the more realistic case where B-modes are present the 2PCF data vector isstrongly contaminated and yields biased cosmological parameter estimates. Nshows to be robust against this contamination. Furthermore the individual datapoints of N show a much smaller correlation compared to the 2PCF leading to analmost diagonal covariance matrix.

Comparing cosmic shear measures - Optimizing the Information content of cosmic shear data vectors