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        "description": ".. image:: http://smodels.hephy.at/images/banner720.png\n\n==============\nSModelS v1.2\n==============\n\n**SModelS -- A tool for interpreting simplified-model results from the LHC.**\n\nSModelS is an automatic, public tool for interpreting simplified-model results\nfrom the LHC. It is based on a general procedure to decompose Beyond the\nStandard Model (BSM) collider signatures presenting a Z\\ :sub:`2` symmetry into\nSimplified Model Spectrum (SMS) topologies. Our method provides a way to cast\nBSM predictions for the LHC in a model independent framework, which can be\ndirectly confronted with the relevant experimental constraints. Our concrete\nimplementation currently focusses on supersymmetry searches with missing\nenergy, for which a large variety of SMS results from ATLAS and CMS are\navailable. \n\n\nInstallation\n============\n\nFor instructions on how to install SModelS, see \nthe section `Installation <http://smodels.readthedocs.io/en/latest/Installation.html>`_ of the `SModelS online manual`_.\n\n\nRunning SModelS\n===============\n\nSModelS provides a command-line tool (runSModelS.py) for the basic functionalities,\nwhich can be executed as:\n\n*./runSModelS.py -p <parameter file> -f <input file or directory> -o <output directory>*\n\nFor help instructions:\n\n*./runSModelS.py -h*\n\nAn example file on how to call the SModelS libraries from your own\nPython code can be found in *Example.py*.\n\nDetailed explanations on how to use SModelS, including explanations of the\noutput, can be found in the section `Using SModelS <http://smodels.readthedocs.io/en/latest/RunningSModelS.html>`_ of the `SModelS online manual`_.\n\nA few example input files are provided in the inputFiles folder and can be\nused to test *runSModelS.py*.\n\n\nCitation\n========\n\nIf you use this software please cite both the SModelS v1.1_ and v1.2_ manuals, \nthe original_ SModelS publication, as well as the programs\nit makes use of (pythia8_/pythia6_, NLL-fast_ and pyslha_). \nIf you use specifically the long-lived particles implementation, please cite also this_ paper.\nFor the Run2 database, cite the v1.2_ manual and the databaseUpdate_ paper.\n\nFor your convenience, the relevant\ncitations are provided in bibtex format in *references.bib*.\n\nFor citing the experimental analyses in the database, you can use\n*smodels-database/database.bib*.\n\n.. _v1.2: https://inspirehep.net/record/1705426\n.. _v1.1: https://inspirehep.net/record/1510436\n.. _original: https://inspirehep.net/record/1269436\n.. _this: https://inspirehep.net/record/1687820\n.. _databaseUpdate: https://inspirehep.net/record/1658765\n.. _pythia6: https://pythia6.hepforge.org/\n.. _pythia8: http://home.thep.lu.se/~torbjorn/Pythia.html\n.. _pyslha: http://www.insectnation.org/projects/pyslha.html\n.. _NLL-fast: http://pauli.uni-muenster.de/~akule_01/nllwiki/index.php/NLL-fast \n.. _SModelS online manual: http://smodels.readthedocs.io/",
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