4.7 Article

WCxf : An exchange format for Wilson coefficients beyond the Standard Model

期刊

COMPUTER PHYSICS COMMUNICATIONS
卷 232, 期 -, 页码 71-83

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.cpc.2018.05.022

关键词

High energy physics and computing; Models beyond the standard model

资金

  1. DFG cluster of excellence Origin and Structure of the Universe
  2. DFG [BU 1391/2-1, PO 1337-7/1]
  3. Villum Foundation, NBIA
  4. Discovery Centre at Copenhagen University
  5. Danish National Research Foundation (DNRF91)
  6. Juan de la Cierva program - Spanish MINECO [27-13-463B-731]
  7. MINECO [FPA2014-58183-P, FPA2017-85216-P, SEV-2014-0398]
  8. Generalitat Valenciana [PROMETEOII/ 2014/084]
  9. Deutsche Forschungsgemeinschaft (DFG) within the Emmy Noether programme [DY 130/1-1]
  10. DFG Collaborative Research Center 110 Symmetries and the Emergence of Structure in QCD
  11. National Science Center, Poland [DEC-2015/19/13/ST2/02848, DEC-2015/18/M/ST2/00054]
  12. ERC Recognition Award of the Helmholtz Association [ERC-RA-0008]

向作者/读者索取更多资源

We define a data exchange format for numerical values of Wilson coefficients of local operators parameterising low-energy effects of physics beyond the Standard Model. The format facilitates interfacing model-specific Wilson coefficient calculators, renormalisation group (RG) runners, and observable calculators. It is designed to be unambiguous (defining a non-redundant set of operators with fixed normalisation in each basis), extensible (allowing the addition of new EFTs or bases by the user), and robust (being based on industry standard file formats with parsers implemented in many programming languages). We have implemented the format for the Standard Model EFT (SMEFT) and for the weak effective theory (WET) below the electroweak scale and have added interfaces to a number of public codes dealing with SMEFT or WET. We also provide command-line utilities and a Python module for convenient manipulation of WCxf files, including translation between different bases and matching from SMEFT to WET. (C) 2018 Elsevier B.V. All rights reserved.

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