Welcome to The CROWN documentation!
The C ++-based RO OT W orkflow for N -tuples (CROWN) is a fast new way to convert NanoAOD samples into flat TTrees to be used in further analysis. The main focus of the framework is to provide a fast and clean way of selecting events and calculating quantities and weights. The framework has minimal dependencies and only uses ROOT and it’s Dataframe as a backend.
Note
To get started, go here: Getting started.
Note
To read about recent changes and new features, go here: Changelog.
Available Analyses
The following analysis configurations are currently available in CROWN. If you want to add your analysis configuration, contact the developers.
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Documentation Content
Documentation
Setup your own Configuration
Documentation
- Documentation of available python classes
- Documentation of available C++ functions
- Namespace: Basefunctions
- Namespace: Ditau_pairselection
- Namespace: Fakefactors
- Namespace: Genmatching
- Namespace: Htxs
- Namespace: Jet
- Namespace: Lorentzvectors
- Namespace: Met
- Namespace: Metfilter
- Namespace: Basefunctions
- Namespace: Physicsobject
- Namespace: Quantities
- Namespace: Reweighting
- Namespace: Scalefactor
- Namespace: Topreco
- Namespace: Trigger
- Namespace: Vectoroperations
- Namespace: Whtautau_tripleselection