RooHammerModel: interfacing the HAMMER software tool with HistFactory and RooFit
RooHammerModel: interfacing the HAMMER software tool with HistFactory and RooFit
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DOI：
10.1088/1748-0221/17/04/t04006
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发表时间：
2020-07
影响因子：
1.3
通讯作者：
J. García Pardiñas;S. Meloni;L. Grillo;P. Owen;M. Calvi;N. Serra
中科院分区：
文献类型：
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作者：
J. García Pardiñas;S. Meloni;L. Grillo;P. Owen;M. Calvi;N. Serra
最近的b -物理结果激发了人们对寻找超标准模型（BSM）物理的极大兴趣。需要以一致的方式分析这些搜索的大数据集，使用高统计蒙特卡罗（MC）样本，导致HAMMER的开发，一个软件工具，它能够执行MC衍生模板的快速变形，包括BSM效果和/或远距离效果的替代参数化，避免需要重新生成模拟样本。本文介绍了RooHammerModel的开发过程，该工具与常用的数据拟合框架HistFactory和RooFit之间的接口。本文档解释了用户界面的结构和功能。提供了可以访问它的公共存储库的信息，以及接口的验证和性能研究。在构建RooHammerModel过程中开发的方法可以为将来尝试将HAMMER与其他数据拟合框架接口提供有用的信息。
Recent B-physics results have sparkled great interest in the search for beyond-the-Standard-Model (BSM) physics in b ⟶ cℓν̅ transitions. The need to analyse in a consistent manner big datasets for these searches, using high-statistics Monte-Carlo (MC) samples, led to the development of HAMMER, a software tool which enables to perform a fast morphing of MC-derived templates to include BSM effects and/or alternative parameterisations of long-distance effects, avoiding the need to re-generate simulated samples. This paper describes the development of RooHammerModel, an interface between this tool and the commonly-used data-fitting frameworks HistFactory and RooFit. In this document, the structure and functionality of the user interface are explained. Information of a public repository where it can be accessed is provided, as well as validation and performance studies of the interface. The methods developed in the construction of RooHammerModel can provide useful information for alternative future attempts to interface HAMMER with other data-fitting frameworks.