Workflow overview
Contents
Workflow overview¶
Here we illustrate the structure of data analysis with MadMiner:
The package is structured in the following sub-packages:
madminer.core: functions to set up the process, parameter space, morphing, and to steer MadGraph and Pythia.madminer.delphes: contain one implementation for a detector simulation and observable calculation.madminer.fisherinformation: functions to calculate the Fisher information, both on parton and detector level.madminer.lhe: contain one alternative implementation for a detector simulation and observable calculation.madminer.ml: contains implementations for the ML part.madminer.sampling: train and test samples for the ML part (data generation and augmentation).
Technical documentation¶
The MadMiner API is documented as well, just look through the pages linked on the left.
Support¶
If you have any questions, please chat to us in our Gitter community.