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Report number arXiv:2212.02905 ; CERN-LHCEFTWG-2022-002 ; CERN-LPCC-2022-07
Title Precision matching of microscopic physics to the Standard Model Effective Field Theory (SMEFT)
Status draft
Author(s) Greljo, Admir (Universitaet Bern (CH)) ; Dawson, Sally (Department of Physics, Brookhaven National Laboratory (US)) ; Lohwasser, Kristin (University of Sheffield (GB)) ; Aebischer, Jason (Universität Zürich (CH)) ; Das Bakshi, Supratim (Universidad de Granada (ES)) ; Carmona, Adrían (Universidad de Granada (ES)) ; Chakrabortty, Joydeep (Indian Institute of Technology Kanpur (IN)) ; Cohen, Timothy (University of Oregon (US)) ; Criado, Juan Carlos (Durham University (UK)) ; Fuentes-Martín, Javier (Universidad de Granada (ES)) ; Lazopoulos, Achilleas (ETH Zürich (CH)) ; Lu, Xiaochuan (University of Oregon (US)) ; Olgoso, Pablo (Universidad de Granada (ES)) ; Kumar Patra, Sunando (Bangabasi Evening College (IN)) ; Santiago Perez, Jose (Universidad de Granada (ES)) ; Thomsen, Anders Eller (University of Bern (CH)) ; Zhang, Zhengkang (University of California Santa Barbara (US)) ; Di Noi, Stefano (Università degli Studi di Padova and INFN (IT)) ; Silvestrini, Luca (Sapienza Universita e INFN, Roma I (IT))
Publication 2022
Document contact Contact: Kristin Lohwasser
Email: kristin.lohwasser@cern.ch
Imprint 2022-11-25
Number of pages 23
Note 23 pages, 2 figures
Subject category Particle Physics - Phenomenology
Accelerator/Facility, Experiment LHC
Keywords Effective Field Theory ; UV Models ; Matching ; SMEFT ; Standard Model ; Beyond the Standard Model ; BSM
Abstract This note gives an overview of the tools for the precision matching of ultraviolet theories to the Standard Model effective field theory (SMEFT) at the tree level and one loop. Several semi- and fully automated codes are presented, as well as some supplementary codes for the basis conversion and the subsequent running and matching at low energies. A suggestion to collect information for cross-validations of current and future codes is made.
Other source Inspire
Copyright/License preprint: (License: CC BY 4.0)
Submitted by kristin.lohwasser@cern.ch



 


 Rekord stworzony 2022-11-25, ostatnia modyfikacja 2024-11-14


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