Metadata-Version: 1.1
Name: smodels
Version: 1.2.3
Summary: A tool for interpreting simplified-model results from the LHC
Home-page: https://smodels.github.io/
Author: Federico Ambrogi, Juhi Dutta, Jan Heisig, Charanjit K. Khosa, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Veronika Magerl, Wolfgang Magerl, Philipp Neuhuber, Doris Proschofsky, Humberto Reyes-Gonzalez, Michael Traub, Jory Sonneveld, Wolfgang Waltenberger, Matthias Wolf, Alicia Wongel
Author-email: smodels-developers@lists.oeaw.ac.at 
License: GPLv3
Description: .. image:: https://smodels.github.io/pics/banner.png
        
        ==============
        SModelS v1.2
        ==============
        
        **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 presenting a Z\ :sub:`2` symmetry 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. Our concrete
        implementation currently focusses on supersymmetry searches with missing
        energy, for which a large variety of SMS results from ATLAS and CMS are
        available. 
        
        
        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 both the SModelS v1.1_ and v1.2_ manuals, 
        the original_ SModelS publication, as well as the programs
        it makes use of (pythia8_/pythia6_, NLL-fast_ and pyslha_). 
        If you use specifically the long-lived particles implementation, please cite also this_ paper.
        For the Run2 database, cite the v1.2_ manual and the databaseUpdate_ paper.
        
        For your convenience, the relevant
        citations are provided in bibtex format in *references.bib*.
        
        For citing the experimental analyses in the database, you can use
        *smodels-database/database.bib*.
        
        .. _v1.2: https://inspirehep.net/record/1705426
        .. _v1.1: https://inspirehep.net/record/1510436
        .. _original: https://inspirehep.net/record/1269436
        .. _this: https://inspirehep.net/record/1687820
        .. _databaseUpdate: https://inspirehep.net/record/1658765
        .. _pythia6: https://pythia6.hepforge.org/
        .. _pythia8: http://home.thep.lu.se/~torbjorn/Pythia.html
        .. _pyslha: http://www.insectnation.org/projects/pyslha.html
        .. _NLL-fast: http://pauli.uni-muenster.de/~akule_01/nllwiki/index.php/NLL-fast 
        .. _SModelS online manual: http://smodels.readthedocs.io/
        
Keywords: simplified models LHC BSM theories interpretation supersymmetry UEDs
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
