The first step is to determine the range of angular
resolution that is appropriate for the project. You should
think about both the minimum and maximum values of
.
The lowest resolution (maximum value of the synthesized
beam width
) will be set by your need to separate, or to
resolve, astrophysically important features of the region being
imaged. Realize however that you can have too much resolution
if your project depends on imaging extended emission. There
is no point observing extended emission using such a small beamwidth
that crucial features are close to, or below, the r.m.s. noise
on the final images. You must therefore estimate the
apparent brightness (flux density per synthesized beam area)
that you expect important extended features to have at the resolution
you will use for your final images. You can then determine the
highest resolution (minimum
) that is appropriate for your
project by estimating the total integration time
needed to reach the required brightness
sensitivity. As omitting this aspect of the project
design can render the final images useless, it is worth restating the
principles.
Recall from Lecture 4 that a point source with flux
density S Jy images with an apparent brightness of S Jy per
synthesized beam area regardless of the area
of the synthesized
beam. It follows that, for any synthesis array of identical antennas
and receivers, all baselines are equally sensitive to a given point
source (apart from the effects of confusion and phase
stability). In contrast, the apparent brightness of an
extended emission region in a synthesized image depends on the
region's detailed structure, on how well the visibility function
V(u,v) is sampled by the observations, and on the weighting and
tapering functions
and
applied to the data when imaging
(Lecture 7). When deciding on an observing strategy, it usually
suffices to assume that:
There are circumstances however when enhanced resolution helps
you to detect interesting features--for example, when searching for
pointlike ``hot spots'' or linear ``jets'' in more diffuse emission such
as large scale ``lobes''. While the flux density per synthesized beam
of two-dimensional emission is roughly proportional to the beam
area , that of linear emission is proportional to the beam
width
, and that of a point source is independent of beam
size. These dependencies allow compact structure that is embedded in,
or confused with, more extended emission to be recognized most easily on
high-resolution images.
Note that it is also important to avoid unnecessarily high resolution
(long baselines) in detection experiments. Although the
theoretical sensitivity to a point source is independent of the size of
the array (apart from the effects of confusion), the phase fluctuations
produced by atmospheric irregularities will be greater on longer
baselines (Lectures 5 and 6). It is therefore more difficult
to reach the theoretical sensitivity by integrating coherently between
calibrations when using long-baseline arrays. This is especially true
at high frequencies, where the phase stability depends critically on
conditions in the troposphere over the array. The severity of
ionospheric or tropospheric phase fluctuations varies from site to site,
and at any one site with the ``weather" from hour to hour, from day to
day, and from season to season. It is generally true however that
observations longer than about an hour with < 1" are often
corrupted by atmospheric phase fluctuations and that observations with
always are. The most powerful tool for dealing with these
corruptions is self-calibration (Lecture 9). This technique is rarely
applicable to detection experiments, however--unless they are
unusually successful, so that all detected sources are strong!