SModelS: A Tool for Making Systematic Use of Simplified Models Results

17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research

物理学;计算机科学

Waltenberger, Wolfgang^1

Institute for High Energy Physics, Austrian Academy of Sciences, Nikolsdorfergasse 18, Wien

1050, Austria^1

关键词: Bottom-up fashion;    Confidence levels;    Efficiency maps;    Production cross section;    Standard model;    Supersymmetric models;    The standard model;    Two-component;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/762/1/012076/pdf
DOI  :  10.1088/1742-6596/762/1/012076

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

We present an automated software tool "SModelS" to systematically confront theories Beyond the Standard Model (BSM) with experimental data. The tool consists of a general procedure to decompose such BSM theories into their Simplified Models Spectra (SMS). In addition, SModelS features a database containing the majority of the published SMS results of CMS and ATLAS. These results consist of the 95% confidence level upper limits on signal production cross sections. The two components together allow us to quickly confront any BSM model with LHC results. As a show-case example we will briefly discuss an application of our procedure to a specific supersymmetric model. It is one of our ongoing efforts to extend the framework to include also efficiency maps produced either by the experimental collaborations, by efforts performed within the phenomenological groups, or possibly also by ourselves. While the current implementation can handle null results only, it is our ultimate goal to build the Next Standard Model in a bottom-up fashion from both negative and positive results of several experiments. The implementation is open source, written in python, and available from http://smodels.hephy.at.