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4.2.1 The Philosophy of Calibration in CASA

Calibration is not an arbitrary process, and there is a methodology that has been developed to carry out synthesis calibration and an algebra to describe the various corruptions that data might be subject to: the Hamaker-Bregman-Sault Measurement Equation (ME), described in Appendix E. The user need not worry about the details of this mathematics as the CASA software does that for you. Anyway, its just matrix algebra, and your familiar scalar methods of calibration (such as in AIPS) are encompassed in this more general approach.

There are a number of “physical” components to calibration in CASA:

At its most basic level, Calibration in CASA is the process of taking “uncalibrated” data, setting up the operation of calibration tasks using parameters, solving for new calibration tables, and then applying the calibration tables to form “calibrated” data. Iteration can occur as necessary, with the insertion of other non-calibration steps (e.g. imaging to generate improved source models for “self-calibration”).


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