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STrEAMlining EFT Matching

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arxiv 2012.07851 v2 pith:R44GDPH6 submitted 2020-12-14 hep-ph hep-th

Timothy Cohen , Xiaochuan Lu , Zhengkang Zhang This is my paper · ORCID
classification hep-phhep-th
keywords matchingstreamexpansionfunctionalarbitraryarisearxivautomate
verification ladder T0 review T1 audit T2 compute T3 formal
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This paper presents STrEAM (SuperTrace Evaluation Automated for Matching), a Mathematica package that calculates all functional supertraces which arise when matching a generic UV model onto a relativistic Effective Field Theory (EFT) at one loop and to arbitrary order in the heavy mass expansion. STrEAM implements the covariant derivative expansion to automate the most tedious step of the streamlined functional matching prescription presented in arXiv:2011.02484 . The code and an example notebook are available at https://www.github.com/EFTMatching/STrEAM .

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Renormalization of general Effective Field Theories: Formalism and renormalization of bosonic operators

    hep-ph 2025-01 conditional novelty 7.0 of 10

    The authors compute, for the first time, the one-loop renormalization group equations of the bosonic operators of a completely general EFT up to mass dimension 6.

  2. A Guide to Functional Methods Beyond One-Loop Order

    hep-ph 2024-12 conditional novelty 7.0 of 10

    Functional methods are generalized to two-loop EFT matching and running with manifest gauge covariance, and the hard-region matching formula is proven to all loop orders.

  3. Electroweak Scalar Effects Beyond Dimension-6 in SMEFT

    hep-ph 2025-01 conditional novelty 6.0 of 10

    One-loop dimension-eight SMEFT matching is derived for complex triplet and two-Higgs-doublet scalar extensions, and the dimension-eight terms are shown to matter for GigaZ electroweak precision projections.

  4. Fingerprinting New Physics with Effective Field Theories

    hep-ph 2025-01 conditional novelty 2.0 of 10

    A thesis compiling published SMEFT global fits, automated UV-model constraints, and ML-based unbinned observables, with projections for HL-LHC, FCC-ee, and CEPC.

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