The observing parameters were consistent from one run to the next. Two
antennas were equipped with SIS mixers, while the third had a Schottky
mixer. All receivers were operating in double side band (DSB)
mode. The cross-correlator was set to a bandwidth of either 40MHz or
80MHz with a nominal channel spacing of 0.625MHz. Because of
channel apodization, the effective frequency resolution was 1MHz, or
equivalently 2.6kms-1 at the frequency of the () transition. We
used a redundant correlator setting with 64 channels per baseline,
instead of 128. The on-source integration time equivalent to
single-baseline observing was 4.5 hr on average. The point source
sensitivity, derived from emission-free channels, was 50 mJy on
average, and was consistent with system temperatures of 500K and
atmospheric phase decorrelations of 10 to 30 degrees. The IRAM
continuum correlator, which was operating simultaneously over a
bandwidth of 500MHz consisting of 10 contiguous 50MHz channels,
was used mainly for the purpose of calibration. However, as a valuable
by-product, we were able to measure with the central 400MHz the
continuum flux at 112GHz of CIT 6,
Cep (tentatively detected)
and 19480+2504, and to give
sensitivity upper limits for all
other sources.
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Data calibration was effected in the baseline-based manner using the CLIC (Lucas 1991) interactive software package. We used whenever available either 3C 273 or 3C 345 as bandpass calibrator. Phase and amplitude calibrations were carried out with the sources listed in Table 1.
Conventional image restoration algorithms like CLEAN produce maps without sidelobes and without features that a synthesized antenna pattern can show as a consequence of missing information. Accordingly, these methods imply interpolation or extrapolation of information that can be retrieved under ``reasonable'' assumptions, only when the objects are of small extent, compared to the size of the primary field of view. However, when the emission structures are large with respect to the beamsize of an individual dish (spacings smaller than the dish diameter are for obvious physical reasons fundamentally inaccessible to measurements by an interferometer), short spacing information needs to be supplied. We circumvented this difficulty by using the 30 m telescope to measure the missing information.
While the IRAM interferometer is ideal for achieving the required high
resolution, emission structures larger than 17 are essentially
resolved out: 17
-1 down to about 4
-1 is the
typical range of spatial frequencies to which our observations were
sensitive. This results in interferometric maps in which regions of
negative intensity surrounding small-scale structures can hardly be
removed. For envelopes larger than 20
, including the 30 m data
recovered typically 50% of the flux missing from the maps obtained
from interferometer data alone.
The 30 m telescope was used to obtain maps sampled at twice or more the telescope beamwidth, those maps that completely cover the region of the interferometer primary beam and that greatly account for the missing flux. Short spacing visibilities were created from the single-dish data and combined with the interferometer samples using the data reduction scheme described below. Depending on the signal-to-noise ratio, however, only short-spacing visibilities up to 20-25 m were kept to avoid spurious effects in the merging process.
The following steps were taken with the GILDAS (Guilloteau & Forveille 1989) software package in combining data from the IRAM 30 m telescope and the IRAM interferometer, once the initial data processing of single-dish and interferometer data was carried out:
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The 7 objects listed in Table 2 were discarded from the original sample.
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