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3. Results

Results of the observations are presented in Figs. 1 (click here)-3 (click here) as residual light curves (numerical values are available upon request in the form of an ASCII file). Residuals are defined as:


equation752

where <S> is the mean flux density. Figure 1 (click here) shows light curves with temporal resolution of tex2html_wrap_inline1249 minutes. Figures 2 (click here) and 3 (click here) contain residuals with resolution of 1 day and 1 month, respectively. Residual curves corresponding to steep-spectrum sources have been included in the figures for comparison.

  figure312
Figure 1: Residual light curves for intraday observations

  figure317
Figure 2: Residual light curves for interday observations

  figure322
Figure 3: Residual light curves for intermonth observations

In order to check the presence of variability in the different light curves a tex2html_wrap_inline1251-test with a confidence level of 99.9% was applied. No variability within the measurement errors was detected at intraday resolution. Interday variability was present in PKS 1610-771. Cen A seems to be non-variable over timescales of weeks or less at 1.4 GHz. However, variations of tex2html_wrap_inline1253 were detected over timescales of months. Two bursts can be observed in the light curve shown in Fig. 3 (click here). PKS 1610-771 was also variable over large timescales.

The observed variability can be characterized by a percentage fluctuation index:


equation760

Fluctuations of the steep-spectrum sources included in the sample for control purposes were then interpreted as spurious variability introduced by the observing system. If tex2html_wrap_inline1257 is the largest fluctuation index of calibration sources during a campaign with temporal resolution tex2html_wrap_inline1259, then the real variability of the source under study can be measured by an amplitude tex2html_wrap_inline1261 given by (e.g. Quirrenbach et al. 1992):


equation762

Variability parameters for the three sources of our sample are given in Table 3 (click here): source name, number of points in the light curve, mean flux density, result of the tex2html_wrap_inline1263-test (V: variable, NV: non variable), fluctuation index, variability amplitudes, associated timescales, activity parameter tex2html_wrap_inline1265, and the slope of the corresponding structure function (see below), from left to right. Typical values of tex2html_wrap_inline1267 are tex2html_wrap_inline1269, except for the intraday observations of PKS 1610-771 where larger values were observed (tex2html_wrap_inline1273).

   
Table 3: Variability parameters

The timescales in Table 3 (click here) were determined by means of the first-order structure functions introduced by Simonetti et al. (1985):


equation764

where R(t) is the residual at time t and the average is taken over all pairs of observations with time lag T. The maxima in the tex2html_wrap_inline1321 plane characterize the timescales of a given source. The slope tex2html_wrap_inline1323 of the structure functions can be used to investigate the nature of the underlying physical process (e.g. Qian et al. 1995). Structure functions for the light curves with variability are shown in Fig. 4 (click here). The structure function of PKS 1830-211 at interday resolution is also shown in this figure.

  figure351
Figure 4: First-order structure functions

PKS 1830-211 has been classified as NV due to its flat structure function and the result of the tex2html_wrap_inline1329-test. However, a small variability amplitude can be assigned to the interday and intermonth light curves owing to a one-point deviation in each curve (see Figs. 2 (click here), 3 (click here) and 4 (click here)). These amplitudes have been included in Table 2 (click here). The possibility of a real variation with a timescale of tex2html_wrap_inline1331 cannot be ruled out.


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