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Next: Summary of the recommended Imaging Model Up: Recommendations for the AIPS++ Telescope Model Previous: Recommendations for the AIPS++ Telescope Model

Introduction

In a recent AIPS++ design note, I described and advocated an approach to the Imaging Model which was based upon linear algebra (Cornwell, 1992). The use of linear algebra concepts leads quite naturally to a simple, clear and concise conceptual definition of Imaging Model, together with the services it provides. Given the apparent attractiveness (at least to me) of this mathematical approach, it is natural to ask whether something similar can be done for calibration. If the answer is no, then we still stand to gain by understanding why not.

Before proceeding, I want to emphasize that I am attempting to develop a conceptual framework for calibration, not a computational framework. In the Imaging Model, this meant that although linear algebra was invoked as the concept behind Imaging Model, it would only be in rare simple cases that straightforward linear algebra (such as matrix multiply or matrix inverse) would actually be used for the computations. In general, one would use the short cuts (such as the circulant approximation for convolution) for most computations that we use now. Similarly in this discussion, the emphasis is on concepts rather than computations.

Next: Summary of the recommended Imaging Model Up: Recommendations for the AIPS++ Telescope Model Previous: Recommendations for the AIPS++ Telescope Model