As demonstrated above, during an OFIT measurement a distortion of due to oxide charges and due to the creation of defects during the low-level is monitored. In order to analyze this distortion, is determined to be the lowest value of at which no hysteresis is observed. The dataset is then used to extrapolate the impact of oxide charges down to the stress-level. It is not possible to obtain this information from the stress pulse because of the contribution of both parts and . Quite remarkably, the data [78] can be fit by a quadratic polynomial, consistent with our NBTI experiments where we also observe a quadratic () dependence of the hole-trapping component [99, 18, 98]. The hole-trapping theory developed in [98] was applied to our data and excellent agreement was obtained. The difference between the actual signal () and the extrapolated curve in Fig. 5.15 and Fig. 5.16 finally gives .
In Fig. 5.15 and Fig. 5.16 the extraction algorithm for and is demonstrated. Stress and relaxation pulse responses both consist of two branches, one falling and one rising, as marked by arrows. In the falling branch, varies from to . In the rising branch, varies from to . Only pulses with constant (or even without a hysteresis, i.e. ) can be used to create an extrapolation guess for higher . This ‘safe window’ ranges from to , where both branches are indistinguishable.
The extracted components for different temperatures and frequencies are given in Fig. 5.17. The additionally created oxide traps depend on frequency as well as on temperature and clearly show behavior. The hysteresis due to additionally created traps is independent of frequency, but strongly dependent on temperature.