This is a repository for the jet assignment project using state-of-the-art Machine Learning method.
There is two main part in the repository, madgraph and analysis_script. The madgraph folder contains the configuration and auto-run script for generating Monte Carlo simulation data.
In this project, we generate the data base on the follwing model.
- Fully hadronic top decay[link]:
p p > t t~ QED=0, (t > W+ b, W+ > j j), (t~ > w- b~, w- > j j ) - Standard Model Higgs boson produced in association with top quarks[link]:
p p > t t~ h , (t > W+ b, W+ > j j), (t~ > w- b~, w- > j j ), (h > b b~ ) - Four top production(fully hadronic decay)[link]:
p p > t t~ t t~ QED=0, (t > W+ b, W+ > j j), (t~ > w- b~, w- > j j ) - Semi-leptonic top decay[link]:
p p > t t~ QED=0, (t > W+ b, W+ > j j), (t~ > W- b~, W- > l- vl~)
The script for analysis events can be found in this folder.
The supported analysis method in this repository is:
- Delta R matching(truth matching)
- Chi-square reconstruction(Only available for two models)
- Cutflow
- Gaussian fitting for finding
$\sigma$ for reconstructed invariant mass.
A full version can be found in HackMD page.