how to normalize the output events

Asked by panda on 2021-06-05

Hi
For example, I generate 2 process like p p > h and p p > z h with both 10000 of the events and the output file is the unweighted LHE file . The two processes have different cross section and if I want to polt a figure which shows the different number of events between these two processes at the Integral luminosity 300 fb-1 then what should I do.
I convert the LHE file to root file and find their is a tree called weight, so how to understand this kind of thing and how to normalize the two processes at a fixed Integral luminosity.

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Olivier Mattelaer (olivier-mattelaer) said :
#1

Hi,

I do not know how root works but when you do histogram you should add to each bin the value of the weight for each event.
After you can change the full normalisation to get back a number of events to the luminosity that you want to represent.

Cheers,

Olivier

> On 5 Jun 2021, at 05:01, panda <email address hidden> wrote:
>
> New question #697398 on MadGraph5_aMC@NLO:
> https://answers.launchpad.net/mg5amcnlo/+question/697398
>
> Hi
> For example, I generate 2 process like p p > h and p p > z h with both 10000 of the events and the output file is the unweighted LHE file . The two processes have different cross section and if I want to polt a figure which shows the different number of events between these two processes at the Integral luminosity 300 fb-1 then what should I do.
> I convert the LHE file to root file and find their is a tree called weight, so how to understand this kind of thing and how to normalize the two processes at a fixed Integral luminosity.
>
>
> --
> You received this question notification because you are an answer
> contact for MadGraph5_aMC@NLO.

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