MC weights for MG @ LO
Dear experts,
I know that the question of MC weights at LO was asked but I wanted to ask a bit more different which confuses me a bit.
If you think it is still the same will you kindly direct me to the answer?
If you think it is irrelevant to ask here also please let me know and sorry for bothering.
I have generated my process of interest as
import model Higgs_Effective
generate p p > h c QED<=1
add process p p > h c~ QED<=1
and then I added in the extras the following things:
extras = { 'lhe_version'
'lhaid' : '260000',
}
According to what I understood adding use_syst = true and sys_scalefact = 1,0.5,2.0 - will get scale and PDF variations via event weights.
I know that at LO the MC weights correspond to the cross-section,
I know that if I would work with Sherpa or Powheg, and I wanted to make any sort of distributions I would use the MC weights,
but as I understand this is not the case in MG_LO since it is just a cross section. And that setup which I used will give me only the weights as systematic variations. Is that true?
Thank you for your help,
Anna
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