Calibration.calib_summary

giant.calibration.calibration_class:

Calibration.calib_summary(measurement_covariance=None)

This prints a summary of the results of calibration to the screen

The resulting summary displays the labeled covariance matrix, followed by the labeled correlation coefficients, followed by the state parameters and their formal uncertainty.

One optional inputs can be used to specify the uncertainty on the measurements if weighted estimation wasn’t already used to ensure the post-fit covariance has the proper scaling.

Note that if multiple misalignments were estimated in the calibration, only the first is printed in the correlation and covariance matrices. For all misalignments, the values are replaced with NaN.

Parameters:

measurement_covariance (Sequence | ndarray | Real | None) – The covariance for the measurements either as a nxn matrix or as a scalar.