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Hi Andy,<br>
<br>
oh sorry, our bad - we were only looking at the individual
histograms.<br>
<br>
So what we were/are looking for is the number of 'attempts' which
would differ from the number of 'events' by the count of events with
zero weight (that also contribute to the calculation of the cross
section). Obviously this would have to be communicated to Rivet from
the generator for which there currently is no existing
infrastructure, right?<br>
<br>
The motivation for this is to calculate the statistical MC error
also using the second part "-(sum of weights)^2/N" where N is the
number of attempts. You can find a copy of my master's thesis at <a
href="http://www.itp.kit.edu/prep/diploma/PSFiles/ms-thesis-daniel-rauch.pdf"><a class="moz-txt-link-freetext" href="http://www.itp.kit.edu/prep/diploma/PSFiles/ms-thesis-daniel-rauch.pdf">http://www.itp.kit.edu/prep/diploma/PSFiles/ms-thesis-daniel-rauch.pdf</a></a>
- the corresponding sections would be 4.2 & 4.3 for the
equations for the combination of 1D histos and their MC errors,
appendices B and C for the derivations and sec 5.4 for the
implementation in the Herwig-Parallel toolset.<br>
<br>
<blockquote cite="mid:563B5BEF.8050302@cern.ch" type="cite">We're
avoiding building any special interpretation of such variables
into YODA (and especially yodamerge), so that it remains a generic
data analysis package with capabilities useful for these studies,
rather than a one-trick package specifically for MC analysis, so
at a later point we plan to have a rivet-merge or similar script
which will use the logic of yodamerge with added MC-specific use
of this information.<br>
</blockquote>
So I understand this is the reason for going with the sqrt( sum of (
weights^2 ) ) error definition - we will then most probably try to
check if we can somehow develop similar patches for Rivet 2.4 to do
the communication of the number of attempts from Herwig to Rivet.<br>
<br>
Many thanks,<br>
Daniel<br>
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