[Rivet] Question on normalisation of histograms containing weighted events

[Holger Schulz]

Hi,

I am working on a template fit for some event shape
distributions. In each event, I ask for the number of MPI scatters
and thus get the distributions differential in #MPI.
Those distributions are not normalised in finalize().

I also obtain a histogram with the occurences of
the number of MPI-scatters, which I normalise to one.

Further I fill a histogram that contains the inclusive
distribution, which I normalise to 1.

When I try to "glue" the differential distributions
together, using the relative #MPI contributions
and afterwards scale the glued distribution to 1,
I do not get the same shape as is present in the
inclusive histo (see attachment).

The event generator I use is Sherpa, generating
weighted events and this is rivet still using the AIDA
histogramming.

Does anyone have a feeling if the weighted events
and my normalisations do not get along well?

Cheers,
Holger
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