0.3$ & $2020\pm 45$ & $13.9\pm 0.8$ & $15.5\pm 1.0$ & $2.5\pm 1.3$ & 1.0\

Apparently significant short-term variations are seen, especially at 4.8 GHz, with a timescales of order 100 days. The clearest example is near the end of the 4.8 GHz data set and is best seen in Figure \[fg:fluxvar\]. This fluctuation is not obvious at lower frequencies, but could be masked by the low signal-to-noise ratio. If real, these short-term fluctuations imply significant interactions on a scale of 0.03 pc (01) or less, and furthermore, many such interactions.

Figure \[fg:spec\_ind\] shows MOST flux densities from Ball et al. (2001) and from the ATCA at 1.4, 2.4, 4.8 and 8.6 GHz at five epochs spread through the data set. Values of the spectral index $\alpha$, where $S=\nu^{\alpha}$ and $\nu$ is the frequency, found by linear regression, are given on each plot. Quoted errors are 1$\sigma$.

To test for systematic curvature in the spectrum, the spectral indices were calculated using the three lowest frequencies, $\alpha_1$ and separately using the three highest frequencies, $\alpha_2$. If there is systematic curvature in the spectrum, then the difference $\alpha_1 - \alpha_2$ should be significant, and roughly constant. In fact, the difference is typically 