An Efficient On-shell Framework for EFT Matching
Ziyu Dong, Cihang Li, Teng Ma, Jing Shu, Zizheng Zhou

TL;DR
This paper introduces a streamlined on-shell method for matching UV theories to EFTs at loop level, simplifying calculations by avoiding gauge fixing, ghost fields, and redundant operator issues.
Contribution
It develops a novel on-shell framework that efficiently performs EFT matching at loop level using unitarity cuts in dimensional regularization, eliminating traditional complexities.
Findings
Constructible integrands include branch cuts and rational terms.
Unnecessary parts like tadpoles are proven to be irrelevant for EFT matching.
The method simplifies loop amplitude construction and operator matching.
Abstract
We develop an on-shell framework for matching ultraviolet (UV) theories to low-energy effective field theories (EFTs) at loop level, based on the unitary cut method. By promoting unitarity double-cuts to dimensions, the constructible integrands incorporate both branch-cut components and rational terms. The unconstructible parts, such as tadpoles and kinematically independent bubbles, are proved to be unnecessary for EFT matching. In this framework, all requisite loop amplitudes are constructed by sewing a pair of on-shell tree-level amplitudes. Consequently, the method eliminates complications from gauge fixing and ghost fields inherent in traditional loop calculations, while also avoiding supplementary efforts to construct rational terms and implement generalized unitarity cuts for master integral coefficient extraction required in conventional on-shell approaches. This…
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Taxonomy
TopicsSpeech Recognition and Synthesis · Network Packet Processing and Optimization
