Scan maps taken with the ``Emerson2'' technique, i.e. basket weaving
in Fourier space, have to be run through rebin without restoring
them from dual to single beam maps and in the same coordinate system
that was used for the chop throw (e.g. RJ or PL). You have to make
one map for each chop throw and each map has to have identical
dimensions and pixel size. We recommend that you make the maps larger
than the area mapped and then cut them in size after running them
through remdbm, the final reduction stage for ``Emerson2'' scan maps.
Since remdbm makes use of fast Fourier transforms, it is advisable
to choose map sizes, which are a power of two. Make sure that you do
not choose a size equal to the default size for any of the sub-maps,
because in that case rebin will choose its own map center, which is
not equal to the center pixel of the map. The end result will be a
garbled map. To make it easy to identify the map sets we need for
remdbm one can give the calibrated, noise weighted and co-added maps
names like : m30ra.sdf, m44ra.sdf, m30dec.sdf, m44dec.sdf etc.,
not because the tasks need it, but it easier for book keeping
purposes. These maps also have to be corrected for pointing drifts
but they should not be restored. The maps are still dual beam maps
and each source in the map should show up as a positive and a negative
feature in the image. Fig.
shows the first sub-map
of RNO1b, i.e. scan rn14_lon_sky, which we used to test
calcsky in Section
. It has now run through
rebin and given a size 384
384 with a pixel size of 1''.
Since this map was taken with a 20'' chop in RA, we called it ra20.sdf. We should have made the map slightly bigger, because the
maps with 30'' and 65'' chops will cover a larger area. Note that
this map was taken at a time when the recommended chop throws were
20'', 30'', and 65'', now the recommended minimum set is 30'', 44''
and 68'', which gives a somewhat better recovery of spatial
frequencies.
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Once we have all maps pointing corrected and co-added to the same pixel size and dimension, we can run remdbm which converts the maps into our final image. In the example below I take the six sub-maps of RNO1b and convert them into a map called rno1b_lon_reb using remdbm. We specify the name of the final map with the parameter out, and a provide the task with a listing of the files, see below:
% remdbm ra20 ra30 ra65 dec20 dec30 dec65 -out=rno1b_lon_reb Perl/ADAM messaging is present. Good Starting monoliths...Done Loop number 1 Chop: PA=90 THROW=20 Doing forward transformation .................................................... Loop number 6 Chop: PA=0 THROW=65 Doing forward transformation There was 1 element changed in the Data array. Running inverse FFT... Maximum difference between estimates of the same Fourier component is 0.02118739. Doing inverse transformation Result stored in rno1b_lon_reb ADAM exited
remdbm also accepts wild-cards and we could therefore have listed the files as ra* dec* and it would have picked up the whole set of six maps. Neither do we have to give it chop throw or chop direction. It will extract that information from the FITS-header. The task can restore a single map file, but even two maps in orthogonal directions looks rather ugly, and it is strongly recommended to use a set of 4 or 6 maps.
Due to the way the Fourier transformations are done, remdbm forces
the sum of all pixels to be zero. This will introduce a small
negative background level in the map. We can remove this baseline by
analyzing the map with KAPPA's stats or with GAIA and add back
the level we deduce with cadd. For our map we find the negative
baseline to be
0.3 Jy/beam, which we add to the map. The
final, baseline subtracted map is shown in Fig.
.
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The SCUBA map reduction cookbook