Contour map of the optimal attachment cross-section normalization, N, required to fit the combined ﹩{\chi }^{2}﹩ calculation of the two data sets, as a function of z_h and ﹩{\tau }_{\mathrm{arm}}﹩. It is readily seen that the normalization, N, increases when z_h increases, while it decreases with ﹩{\tau }_{\mathrm{arm}}﹩. Note that the rugged behavior arises from the raw data having “Monte Carlo” noise.