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Task: blcal Purpose: Compute and apply baseline calibration. Categories: uv analysis BLCAL computes and applies baseline-based calibration to a visibility dataset. This reads two datasets. It uses the first dataset to determine baseline-based calibration, and applies these calibration corrections to the second dataset. Key: vis Normally, this gives the name of two visibility datasets, being the "reference" and the "source" datasets respectively. The reference dataset is used to determine the baseline calibration, whereas the source contains the data that is corrected and written out. If only a single dataset is given, then this is self-calibrated. Baseline-based self-calibration is a very dubious operation, and generally should not be performed. Note: Both the reference and source datasets should be in time order. Key: select The normal uv selection commands -- see the help on select for more information. This selection is applied to both the reference and source input datasets. Key: line The normal uv linetype in the form: line,nchan,start,width,step See the help on line for more information. The default is all channels (or all wide channels if there are no spectral channels). The output will consist of only spectral or wideband data (but not both). Key: stokes Normal Stokes/polarisation processing. See the help on stokes for more information. The default is to use the Stokes/polarisations present in the dataset. Key: interval Solution time interval, in minutes. The default is a single solution. Key: out The name of the output uv data set. No default. Key: options Extra processing options. Possible values are: nopassol Determine a solution which is independent of channel number. nopolsol Solve for parallel-hand polarisations only. When applying corrections, cross-hand correlations get corrected with a parallel-hand gain. In particular XY and YX are corrected with the mean of the XX and YY gains; RL and LR are corrected with the mean of RR and LL gains; Q,U, and V are corrected with the I gain. replace Rather than writing the corrected dataset, write out a dataset where the data are replaced with the model of a unit point source with baseline errors.