Classifying Standard Model Extensions Effectively with Precision Observables
Supratim Das Bakshi, Joydeep Chakrabortty, Michael Spannowsky

TL;DR
This paper demonstrates that analyzing which effective operators are induced by specific Standard Model extensions enables more precise identification of the underlying high-scale theories using low-energy observables.
Contribution
It introduces a method to distinguish Standard Model extensions by their characteristic effective operators and applies it to 15 scalar field models, improving model identification.
Findings
Most models can be phenomenologically distinguished based on their operator signatures.
Few models remain indistinguishable after analysis.
The approach helps determine the effective field theory truncation level.
Abstract
Effective theories are well established theoretical frameworks to describe the effect of energetically widely separated UV models on observables at lower energy scales. Due to the complexity of the effective theory when taking all the Standard Model symmetries and degrees of freedoms into account, tensioning the entire system in a completely agnostic way against experimental measurements results in constraints on the Wilson Coefficients of the effective operators that either bears little information or challenge intrinsic assumptions imposed on the effective field theory framework. In general, a specific high-scale extension of the Standard Model only induces a subset of all possible operators. Thus, by investigating which operators are induced by different classes of the Standard Model extensions and comparing to which precision observables they contribute, we show that it is possible…
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