In dcnum <= 0.14.0, preselection was employed to remove input images that presumably contain no events. This was implemented as follows:
if self.preselect:
ptp = np.ptp(self.data.image_corr[index])
if ptp < 0.1 * self.ptp_median:
# do not use this event
return NoneThe ptp_median value was computed from the background data.
Preselection was removed in dcnum 0.15.0, because
- it represents a preprocessing step that has possibly hidden impact on data processing
- it is not yet represented in any pipeline identifier
Should we want to re-introduce preselection, then we would need to properly at it with its own pipeline identifier. Should the input data contain duplicate frames, this could also be addressed (instead of segmenting a duplicate frame twice).
In dcnum <= 0.14.0, preselection was employed to remove input images that presumably contain no events. This was implemented as follows:
The
ptp_medianvalue was computed from the background data.Preselection was removed in dcnum 0.15.0, because
Should we want to re-introduce preselection, then we would need to properly at it with its own pipeline identifier. Should the input data contain duplicate frames, this could also be addressed (instead of segmenting a duplicate frame twice).