“…The complete data calibration procedure guarantees a high level of accuracy, on the order of 0.5%, in normal weather conditions. Following the scheme by Kraus et al (2003), some quantities were used to evaluate significance and amplitude of the variability, namely the reduced chi-square-test, the rms flux density over mean flux density (the so-called modulation index, m), and the 3σ relative variability amplitude Y, which is corrected for noise-bias, defined as Y = 3 m 2 − m 2 0 , where m 0 is the mean modulation index of all calibrators, describing the statistical measurement accuracy during the observation. In Table 1, we list the observational information and the results of the observations, in which the time scales are obtained from a structure function analysis (SF) as introduced in the next section.…”