Generating events with flat pT distribution

Asked by akash

Dear MadGraph Team,

I am working on machine learning applications for a particular BSM scenario, and as part of my work, I am training different ML algorithms with W-initiated jets obtained from FastJet to build a robust W-tagging algorithm.

The training datasets for these applications come from <email address hidden> generated diboson events (p p > w+ w- > hadronic decay). In order to not bias the training datasets, I would like to generate events such that the pT distribution of the W boson at generator level is a flat distribution rather than the usual one. Is there a way to do this?

Thank you.

Question information

Language:
English Edit question
Status:
Answered
For:
MadGraph5_aMC@NLO Edit question
Assignee:
No assignee Edit question
Last query:
Last reply:
Revision history for this message
Olivier Mattelaer (olivier-mattelaer) said :
#1

Should be possible if you know the original pt distribution
(at worse a first run can give it to you).

Then you can use this method:
https://cp3.irmp.ucl.ac.be/projects/madgraph/wiki/LOEventGenerationBias

Cheers,

Olivier

Can you help with this problem?

Provide an answer of your own, or ask akash for more information if necessary.

To post a message you must log in.