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The calibration relies on a least square fit of theoretic (from calibrant) vs calculated 2theta position with the one obtained from the geometry and the position of the peaks.
For speed: when wavelength varies, both the calibrant and the geometry part need to be updated. Fitting in q-space (rather than 2theta) would simplify the problem with only one function to call and thus remove some of the python overhead
For precision: the density of ieee754 floating point values is maximal around 1.0 thus optimal results should be obtained with delta-q around 1 ... this can be used to discriminate between the different units possible.
The text was updated successfully, but these errors were encountered:
The calibration relies on a least square fit of theoretic (from calibrant) vs calculated 2theta position with the one obtained from the geometry and the position of the peaks.
The text was updated successfully, but these errors were encountered: