Access conditions for advanced inductive scenarios

Employing advanced inductive (AI) regimes in ITER requires knowledge of suitable startup trajectories to achieve stationary AI performance. As part of the International Tokamak Physics Activity (ITPA), a database of DIII-D discharges has been assembled to quantify access conditions for stable AI discharges. The ITPA goals are (1) to assemble a database of a jointly defined set of variables from several tokamaks and (2) perform similarity experiments based on analysis of that database to demonstrate AI access conditions for ITER. The DIII-D AI database now contains 77 variables from 1294 discharges. The most important parameter to predict access to stable DIII-D AI discharges is the level of auxiliary heating in the ramp-up phase, but there is little correlation with internal inductance ($\ell_i$). While the current profile is important, $\ell_i$ is not sufficiently sensitive to show the correlation in the presence of a current ramp. A complementary database has been assembled for JET AI discharges. Similarities and differences in the two machines will be reported as well as plans to merge the two databases.