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(moved from apeck12#9) this is needed for the analysis of cxilx5920, runs 143-151
In addition to information about intensity statistics during a run, it would be helpful to get a visual display of how intensity is distributed in range and in time. This would allow to quickly identify calibration issues, and to identify regime changes during collection that would help for example pinpoint events where the detector could have been at risk of being damaged.
An idea could be to populate an array for each run intensity_distribution(n_events, n_intensity_bins) that could be displayed in the form of a colored table as sketched below.
Considerations on binning:
The data array could have a finer binning with coarser binning being possible upon plotting (e.g. using plt.hexbin()).
Several binning strategies could also be explored: linear or symlog.
Random extra thought: a similar plot for the whole experiment (with runs on the X-axis) might also be very useful for experiment summaries.
The text was updated successfully, but these errors were encountered:
(moved from apeck12#9)
this is needed for the analysis of cxilx5920, runs 143-151
In addition to information about intensity statistics during a run, it would be helpful to get a visual display of how intensity is distributed in range and in time. This would allow to quickly identify calibration issues, and to identify regime changes during collection that would help for example pinpoint events where the detector could have been at risk of being damaged.
An idea could be to populate an array for each run
intensity_distribution(n_events, n_intensity_bins)
that could be displayed in the form of a colored table as sketched below.Considerations on binning:
plt.hexbin()
).Random extra thought: a similar plot for the whole experiment (with runs on the X-axis) might also be very useful for experiment summaries.
The text was updated successfully, but these errors were encountered: