Four orders of magnitud difference in cross section for process with decay and without the decay
Hi
I want to understand the reason of a difference in the integrated weight (pb) reported in madgraph for different "versions" of the same process.
The main process that I want to generate is a p p > stop stop + 0,1,2 j, stop > q q. An RPV process using the RPVMSSM model.
Now, if I generate
1) p p > stop stop, stop > q q the integrated weight that I got is 2.14E+07, but if I generate
2) p p > stop stop + 0,1,2 j, where j = u d s c b g, this weight is 5.91E+03, four orders of magnitud less.
Because of computational problems I NEED to generate 2) in madgraph and then I will manage the stop decays in pythia8. But also, the other issue is that because of the high cross section at low RPV stop masses, I will need to generate a huge number of events and I want to lower that number by applying an HT cut at madgraph level. But now I am not sure how to calculate the efficiency of this selection.
Any ideas?
thanks
Question information
- Language:
- English Edit question
- Status:
- Solved
- Assignee:
- No assignee Edit question
- Solved by:
- Olivier Mattelaer
- Solved:
- Last query:
- Last reply: