CheckMATE 2: From the model to the limit

CheckMATE 2: From the model to the limit
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DOI:
10.1016/j.cpc.2017.08.021
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发表时间:
2016-11
期刊:
Comput. Phys. Commun.
影响因子:
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通讯作者:
D. Dercks;N. Desai;Jong Soo Kim;K. Rolbiecki;J. Tattersall;T. Weber
D. Dercks;N. Desai;Jong Soo Kim;K. Rolbiecki;J. Tattersall;T. Weber
中科院分区:
其他
文献类型:
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作者:
D. Dercks;N. Desai;Jong Soo Kim;K. Rolbiecki;J. Tattersall;T. Weber

文献摘要

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我们目前的最新发展CheckMATE计划,使新的物理模型,可以很容易地对最近的LHC数据进行测试。为了实现这一目标,CheckMATE的核心现在包含60多个LHC分析,其中12个来自13 TeV运行。主要的新功能是CheckMATE 2现在通过MadGraph5_aMC@NLO和Pythia 8集成了Monte Carlo事件生成。这允许用户直接从SLHA文件或UFO模型转到是否允许模型的结果。此外,事件生成的集成导致程序速度的显着提高。还进行了许多其他改进,包括现在结合联合收割机信号区域以给出模型的总可能性的可能性。程序摘要程序标题:CheckMATE程序文件doi:http://dx.doi.org/10.17632/k4pnk5wrfm.1Licensing规定:GPL v3编程语言:C++,Python外部例程/库:ROOT,Python,HepMC(可选)Pythia 8(可选),Madgraph5_aMC@NLO(可选)使用的子程序:Delphes问题的性质:LHC实验在过去的几年里进行了大量的新物理搜索。然而,结果只能给出几个基准模型的大量存在于文献中。解决方案方法:CheckMATE是一个程序,自动计算新的物理模型的限制。原始版本要求用户在CheckMATE运行之前自己生成Monte Carlo事件,但新版本现在集成了这一步骤。CheckMATE最简单的输出是模型是否在95% CL时被排除。然而,也可以使用更复杂的统计指标,包括许多信号区域的组合。限制:仅实现了可用实验结果的子集。其他评论:·CheckMATE是建立在许多人的工具和辛勤工作之上的。如果在您的出版物中使用CheckMATE,则包括以下所有引用非常重要:-Delphes 3 [1]. https://cp3.irmp.ucl.ac.be/projects/delphes-FastJet [2,3].http:fastjet.fr/-Anti-kt jet algorithm [4].-CLS处方[5].-用于在研究中设置限制的所有实验分析,如果分析由非CheckMATE作者实施,则相关实施参考。-MadGraph5_aMC@NLO [6]如果用于从www.example.com 8.2中计算硬矩阵元素CheckMATE.https://launchpad.net/mg5amcnlo-Pythia[7]如果从www.example.com中进行淋浴或匹配CheckMATE.http://home.thep.lu.se/~torbjorn/Pythia.html-The如果.hepmc或.lhe文件是外部生成的,则使用Monte Carlo事件生成器。-在使用mT 2运动学判别式[8,9]的分析中,我们使用mt2_bisect库[10]。我们还包括MT 2b和MT 2 W衍生工具[11]。http://particle.physics.ucdavis.edu/hefti/projects/doku.php? id=wimpmasshttps:sites.google.com/a/ucdavis.edu/mass/-In使用MCT运动学判别式家族的分析,我们使用包括以下变量的MctLib库,MCT [12],MCT校正[13],MCT平行和垂直[14]。https://mctlib.hepforge.org/-In使用顶部变量的分析,我们使用顶部库[15]。https://github.com/michaelgraesser/topness-Super-Razor [16]在使用...
We present the latest developments to the CheckMATE program that allows models of new physics to be easily tested against the recent LHC data. To achieve this goal, the core of CheckMATE now contains over 60 LHC analyses of which 12 are from the 13 TeV run. The main new feature is that CheckMATE 2 now integrates the Monte Carlo event generation via MadGraph5_aMC@NLO and Pythia 8. This allows users to go directly from a SLHA file or UFO model to the result of whether a model is allowed or not. In addition, the integration of the event generation leads to a significant increase in the speed of the program. Many other improvements have also been made, including the possibility to now combine signal regions to give a total likelihood for a model.Program summaryProgram Title: CheckMATEProgram Files doi: http://dx.doi.org/10.17632/k4pnk5wrfm.1Licensing provisions: GPLv3Programming language: C++, PythonExternal routines/libraries: ROOT, Python, HepMC (optional) Pythia 8 (optional), Madgraph5_aMC@NLO (optional)Subprograms used: DelphesNature of problem: The LHC experiments have performed a huge number of searches for new physics in the past few years. However the results can only be given for a few benchmark models out of the huge number that exist in the literature.Solution method: CheckMATE is a program that automatically calculates limits for new physics models. The original version required the user to generate Monte Carlo events themselves before CheckMATE could be run but the new version now integrates this step. The simplest output of CheckMATE is whether the model is ruled out at 95% CLs or not. However, more complicated statistical metrics are also available, including the combination of many signal regions.Restrictions: Only a subset of available experimental results have been implemented.Additional comments:•CheckMATE is built upon the tools and hard work of many people. If CheckMATE is used in your publication it is extremely important that all of the following citations are included, –Delphes 3 [1].https://cp3.irmp.ucl.ac.be/projects/delphes–FastJet [2,3].http://fastjet.fr/–Anti-kt jet algorithm [4].–CLS prescription [5].–All experimental analyses that were used to set limits in the study and if the analysis was implemented by non- CheckMATE authors, the relevant implementation reference.–MadGraph5_aMC@NLO [6] if it is used to calculate the hard matrix element from within CheckMATE.https://launchpad.net/mg5amcnlo–Pythia 8.2 [7] if showering or matching is done from within CheckMATE.http://home.thep.lu.se/~torbjorn/Pythia.html–The Monte Carlo event generator that was used if .hepmc or .lhe files were generated externally.–In analyses that use the mT2 kinematical discriminant [8,9] we use the mt2_bisect library [10]. We also include the MT2bℓ and MT2W derivatives [11].http://particle.physics.ucdavis.edu/hefti/projects/doku.php?id=wimpmasshttps://sites.google.com/a/ucdavis.edu/mass/–In analyses that use the MCT family of kinematical discriminants we use the MctLib library that includes the following variables, MCT [12], MCT corrected [13], MCT parallel and perpendicular [14].https://mctlib.hepforge.org/–In analyses that use topness variable we use the topness library [15].https://github.com/michaelgraesser/topness–Super-Razor [16] in analyses that use …