Smodels
SModelS
Install / Use
/learn @SModelS/SmodelsREADME
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============== SModelS v3
SModelS -- A tool for interpreting simplified-model results from the LHC.
SModelS is an automatic, public tool for interpreting simplified-model results from the LHC. It is based on a general procedure to decompose Beyond the Standard Model (BSM) collider signatures into Simplified Model Spectrum (SMS) topologies. Our method provides a way to cast BSM predictions for the LHC in a model independent framework, which can be directly confronted with the relevant experimental constraints.
Installation
For instructions on how to install SModelS, see
the section Installation <http://smodels.readthedocs.io/en/latest/Installation.html>_ of the SModelS online manual_.
Running SModelS
SModelS provides a command-line tool (runSModelS.py) for the basic functionalities, which can be executed as:
./runSModelS.py -p <parameter file> -f <input file or directory> -o <output directory>
For help instructions:
./runSModelS.py -h
An example file on how to call the SModelS libraries from your own Python code can be found in Example.py.
Detailed explanations on how to use SModelS, including explanations of the
output, can be found in the section Using SModelS <http://smodels.readthedocs.io/en/latest/RunningSModelS.html>_ of the SModelS online manual_.
A few example input files are provided in the inputFiles folder and can be used to test runSModelS.py.
Citation
If you use this software please cite the SModelS v1-v3 manuals, the original
SModelS publication, as well as the programs it makes use of. For your
convenience, the relevant citations are provided in bibtex format in
references.bib <https://github.com/SModelS/smodels/blob/main/references.bib>_.
For citing the experimental analyses in the database, you can use
database.bib <https://github.com/SModelS/smodels-database-release/blob/main/database.bib>_.
.. _SModelS online manual: http://smodels.readthedocs.io/
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