ccalapply (Calibration Applicator)

This page provides instruction for using the ccalapply program. The purpose of this software is to apply calibration parameters to Measurement Sets.

Running the program

It can be run with the following command, where “” is a file containing the configuration parameters described in the next section.

$ ccalapply -c

The ccalapply program is not parallel/distributed, it runs in a single process operating on a single input measurement set.

Configuration Parameters

The following table contains the configuration parameters to be specified in the “” file shown on above command line. Note that each parameter must be prefixed with “Ccalapply.”. For example, the “dataset” parameter becomes “Ccalapply.dataset”.

In addition to the below parameters, those described in Access to calibrator solutions are applicable. Specifically:

  • Ccalapply.calibaccess
  • Ccalapply.calibaccess.parset (if calibaccess is “parset”); or
  • Ccalapply.calibaccess.table (if calibaccess is “table”)
Parameter Type Default Description
dataset string None The name of the measurement set to which the calibration parameters will be applied.
calibrate.scalenoise bool false If true, the noise estimate will be scaled in accordance with the applied calibrator factor to achieve proper weighting.
calibrate.allowflag bool false If true, corresponding visibilities are flagged if the inversion of Mueller matrix fails. Otherwise, an exception is thrown should the matrix inversion fail
calibrate.ignorebeam bool false If true, the calibration solution corresponding to beam 0 will be applied to all beams
freqframe string topo Frequency frame to work in (the frame is converted when the dataset is read). Either lsrk or topo is supported.
maxchunkrows unsigned int max integer If defined, the chunk size presented at each iteration will be restricted to have at most this number of rows. It doesn’t affect the result, but may give different performance in the case of long spectral axis (think of it as a slice in rows will be taken once and then each spectral slice will be made from this reduced cube for the price of having more iterations).


Ccalapply.dataset                   =

Ccalapply.calibaccess               = table
Ccalapply.calibaccess.table         =

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