Establishing the Primary HEFT as a Precision Benchmark for UV-HEFT Matching
Zizhou Ge, Huayang Song, Xia Wan

TL;DR
This paper introduces the primary HEFT (pHEFT) as a precise benchmark for UV-HEFT matching, emphasizing its advantages in parameter choice and perturbative accuracy, with applications to various scalar extension models.
Contribution
The paper establishes pHEFT as a systematic, accurate framework for UV-HEFT matching, including the first derivation of HEFT operators involving fermions in the RHTM.
Findings
pHEFT maintains linear relations between parameters and heavy masses.
pHEFT preserves maximal UV information and improves perturbative accuracy.
Application to RHTM, 2HDM, and singlet models demonstrates its effectiveness.
Abstract
We match the real Higgs triplet model (RHTM) onto HEFT under different parameter choices and power-counting schemes, thereby obtaining several representative HEFT formulations and clarifying their relations. We establish the primary HEFT (pHEFT) as a benchmark framework, demonstrating that alternative HEFT constructions can be systematically derived from it. A key advantage of the pHEFT construction is its parameter choice, which maintains linear relations between the UV Lagrangian parameters and squared heavy masses. By strictly employing the inverse squared heavy masses as the expansion parameters without imposing additional constraints, pHEFT preserves maximal ultraviolet (UV) information and ensures higher perturbative accuracy by avoiding the additional truncations inherent in more complex, non-linear formulations or extra constraints. Through the analysis of the -symmetric…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Neutrino Physics Research · Computational Physics and Python Applications
