2021
DOI: 10.1007/jhep04(2021)281
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SuperTracer: a calculator of functional supertraces for one-loop EFT matching

Abstract: We present SuperTracer, a Mathematica package aimed at facilitating the functional matching procedure for generic UV models. This package automates the most tedious parts of one-loop functional matching computations. Namely, the determination and evaluation of all relevant supertraces, including loop integration and Dirac algebra manipulations. The current version of SuperTracer also contains a limited set of output simplifications. However, a further reduction of the output to a minimal basis using Fierz iden… Show more

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Cited by 49 publications
(59 citation statements)
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“…approach is more suitable for computer programming. Recently, two such Mathematica packages, i.e., STrEAM [47] and SuperTracer [48], have been made available publicly. Both of them follow the prescription proposed in ref.…”
Section: Jhep09(2021)163mentioning
confidence: 99%
See 3 more Smart Citations
“…approach is more suitable for computer programming. Recently, two such Mathematica packages, i.e., STrEAM [47] and SuperTracer [48], have been made available publicly. Both of them follow the prescription proposed in ref.…”
Section: Jhep09(2021)163mentioning
confidence: 99%
“…[36]. However, there is an alternative way that is more suitable to be implemented in a computer program [47,48]. Considering that ln det ∆ φ contains pure light loops and then its hard part is scaleless (i.e., vanishing after integration), then by virtue of eqs.…”
Section: Jhep09(2021)163mentioning
confidence: 99%
See 2 more Smart Citations
“…A powerful framework to identify, parametrise, and correlate in a model-independent manner the possible deviations from the SM predictions that arise in such indirect searches is provided by the effective field theory (EFT) framework, such as the Standard Model EFT (SMEFT) (e.g. [1][2][3][4][5][6][7][8][9][10][11][12][13][14]) or the Higgs EFT (HEFT) (e.g. [15][16][17][18][19][20][21][22]).…”
Section: Introductionmentioning
confidence: 99%