when producing cutflow plots using fccanalysis plots plots.py the background processes do not appear to be stacked. The option stack = True/False seems to affect only the signal process.
As a result, background contributions can overlap and hide each other in certain bins. Since the purpose of a cutflow plot is to track the event counts for each process after each selection cut, this behavior makes the plots difficult to interpret.
Example below: The contribution of lla (dark green) is in the order 10e5 in the third bin but it is hidden.
It would be helpful if background processes could be stacked or ordered so that each contribution remains visible throughout the cutflow.
when producing cutflow plots using
fccanalysis plots plots.pythe background processes do not appear to be stacked. The option stack = True/False seems to affect only the signal process.As a result, background contributions can overlap and hide each other in certain bins. Since the purpose of a cutflow plot is to track the event counts for each process after each selection cut, this behavior makes the plots difficult to interpret.
Example below: The contribution of lla (dark green) is in the order 10e5 in the third bin but it is hidden.
It would be helpful if background processes could be stacked or ordered so that each contribution remains visible throughout the cutflow.