Calibration

The calibration library contains a collection of operators which can manipulate the visibility data in various ways. These operators are organized by category based on their functionality. These are broadly split into two groups, configurable and non-configurable operators. Operators that are configurable are those which can be triggered, or which have parameters that are accessible through user issued control file statements or fourfit command line arguments. While those which are non-configurable either compartmentalize a portion of the underlying fringe-finding algorithm, or are triggered by a specific data attribute.

Of the configurable operators, the available categories are labeling, selection, flagging, calibration, and finalization (finalize). There are also ‘pre-fit’ and ‘post-fit’ operator categories which are available for user python plugins, that execute before and after the fringe-peak search routine. During runtime each category is separately initialized and executed on the data in the following order:

  1. labeling

  2. selection

  3. flagging

  4. calibration

  5. pre-fit

  6. post-fit

  7. finalize

The calibration library also contains some additional utility classes (e.g. MHO_StationModel, MHO_DelayModel) for calculating quantities needed during fringe fitting.

Calibration Operators by Category