How To’s¶
Below we provide a few examples for using SModelS and some of the SModelS tools as a Python library [1].
To try out the examples in interactive mode: 
¶
Main examples:¶
- How to run SModelS using a parameter file (download the Python code
here, IPython notebookhere) - How to run SModelS as a python library (download the Python code
here, IPython notebookhere)
Examples displaying several functionalities:¶
- How to load the database (download the Python code
here, IPython notebookhere) - How to obtain experimental upper limits (download the Python code
here, IPython notebookhere) - How to obtain experimental efficiencies (download the Python code
here, IPython notebookhere) - How to print decomposition results (download the Python code
here, IPython notebookhere) - How to print theory predictions (download the Python code
here, IPython notebookhere) - How to compare theory predictions with experimental limits (download the Python code
here, IPython notebookhere) - How to use a LHE input including width information (download the Python code
here, IPython notebookhere) - How to compute the likelihood and chi2 for a theory predictions (download the Python code
here, IPython notebookhere) - How to find missing topologies (download the Python code
here, IPython notebookhere) - How to generate ascii graphs (download the Python code
here, IPython notebookhere) - How to marginalize a combined limit instead of profiling it (download the Python code
here, IPython notebookhere)
Examples using the cross-section computer:¶
- How to compute leading order cross sections (for MSSM) (download the Python code
here, IPython notebookhere) - How to compute next-to-leading order cross sections (for MSSM) (download the Python code
here, IPython notebookhere)
Examples using the Database Browser¶
- How to obtain upper limits (download the Python code
here, IPython notebookhere) - How to select specific results (download the Python code
here, IPython notebookhere)
Examples using the Interactive Plots tool¶
- How to make interactive plots (download the Python code
here, IPython notebookhere)
| [1] | Some of the output may change depending on the database version used. |