Pathologies

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How can we judge the quality of a data set? There are several possibilities:

  1. numerical indicators, like R-values, I/sigma and the like
  2. graphical representations

This article serves to demonstrate pathological cases. It collects examples for

  1. problems with the hardware (e.g. detector, beamline, goniostat, beam, cryo)
  2. problems with the crystal
  3. problems with data processing

Hardware problems

Scale factor plot in case of spindle problems

Scales.png

This shows spikes indicating that the spindle went too fast every 12 frames or so. This is quite detrimental to data quality.

Mosaicity plots in case of spindle problems

Sigmar.png Sigmar2.png Sigmar3.png

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