Renormalisation group effects on SMEFT interpretations of LHC data
Published for SISSA by
Springer
Received: January 11, 2023
Revised: August 19, 2023
Accepted: September 19, 2023
Published: September 27, 2023
Rafael Aoude,a Fabio Maltoni,a,b Olivier Mattelaer,a Claudio Severic
and Eleni Vryonidouc
a
Centre for Cosmology, Particle Physics and Phenomenology (CP3),
Université Catholique de Louvain,
B-1348 Louvain-la-Neuve, Belgium
b
Dipartimento di Fisica e Astronomia, Università di Bologna and INFN, Sezione di Bologna,
via Irnerio 46, 40126 Bologna, Italy
c
Department of Physics and Astronomy, University of Manchester,
Oxford Road, Manchester M13 9PL, U.K.
E-mail: , ,
, ,
Abstract: We explore the impact of Renormalisation Group (RG) effects in the Standard
Model Effective Field Theory (SMEFT) interpretations of LHC measurements. We implement the RG running and mixing for the Wilson coefficients as obtained from the one-loop
anomalous dimension matrix in the SMEFT into a Monte Carlo generator. This allows to
consistently predict and combine in global fits collider observables characterised by different
scales. As a showcase, we examine the impact of RG running in the strong coupling on the
SMEFT predictions for tt̄ production cross sections and differential distributions as well as
on the bounds on the Wilson coefficients that can be obtained from current LHC data.
Keywords: Renormalization Group, SMEFT, Automation
ArXiv ePrint: 2212.05067
Open Access, c The Authors.
Article funded by SCOAP3 .
https://doi.org/10.1007/JHEP09(2023)191
JHEP09(2023)191
Renormalisation group effects on SMEFT
interpretations of LHC data
Contents
1
2 Computation and Monte Carlo implementation setup
3
3 RGE of top quark operators
3.1 Bosonic and two-quark operators
3.2 Four-fermion operators
4
4
6
4 Results for top pair production at the LHC
4.1 Scale choices
4.2 Cross-section results
4.3 Differential distributions
4.4 Comparison of NLO with the RGE-evolved LO
9
10
10
12
13
5 Impact of RGE effects on constraints on the EFT
14
6 Conclusion
17
A Conventions for operators with repeated currents
20
B Additional results for differential distributions
20
C Generation details
20
1
Introduction
In the light of no evidence for the existence of new degrees of freedom at the weak scale or
below, the Standard Model Effective Field Theory (SMEFT) [1–3] provides a conceptually
simple, compelling, and powerful framework to probe beyond the Standard Model physics.
The SMEFT allows us to consistently and systematically parameterise possible deviations
from the SM predictions in the interactions among the known particles, using minimal
theoretical assumptions.
The interest in the SMEFT approach has triggered considerable efforts over the last
years not only in the quest for the best SM predictions, which are necessary to detect
deviations, but also to improve the accuracy of the SMEFT predictions by consistently
including higher order corrections in QCD and EW couplings.
With improved predictions at hand and more and more precise measurements coming
from the LHC, performing global interpretations of LHC measurements has become imperative and first results in the top quark sector [4–7], the Higgs and electroweak gauge
sector [8–10] as well as combinations of the two [11, 12] have appeared.
–1–
JHEP09(2023)191
1 Introduction
–2–
JHEP09(2023)191
These first studies have demonstrated that global interpretations in the SMEFT are
feasible and that order of tens of operator coefficients can be determined simultaneously,
by also exploiting the crucial fact that the SMEFT correlates observables from different
sectors.
Whilst the combination of different processes is needed to maximise the potential of
SMEFT interpretations, it comes with various complications and challenges. One such
complication is the fact that observables are typically associated to specific energy scales,
even in the same experiment. The same SMEFT operators are therefore probed at different
scales. In order to consistently combine the results, however, Renormalisation Group (RG)
effects should be taken into account, as RG Equations (RGE) are necessary to account for
different natural scales of different processes.
In principle, an approximate RGE flow can be computed off-line and once and for
all. The complete RGE of the SMEFT at dimension-6 are known at one-loop [13–15],
and several codes exist which allow one to input a set of Wilson coefficients at a given
scale and extract them at a different one [16–20]. Results on the SMEFT RGE for selected
dimension-8 operators are also available at one loop [21–24]. Up to now, the RGE evolution
in SMEFT interpretations of LHC measurements has either been neglected altogether, or
it has been taken from a high-scale µ0 to a fixed low-scale µ. Analyses where the scale µ is
chosen bin-by-bin for differential distributions have started to appear in the literature [25].
However, the analysis of observables such as differential distributions, that span orders
of magnitude in energy, calls for an event-by-event choice of renormalisation scale, that
can only be handled in a Monte Carlo tool at runtime. A dynamical scale choice requires
recomputing the Wilson coefficients at every phase-space point, and the only practical
way of incorporating such RGE effects into theoretical predictions is to include them into
suitable MC generators. Up to now, no dedicated implementation has been made available.
In this work we present the first implementation of RGE effects in a Monte Carlo
generator, Madgraph5_aMC@NLO [26]. We discuss the implementation and then present
phenomenological examples where the impact of RGE is investigated within the context
of SMEFT interpretations, and compare it with the next-to-leading order predictions. RG
improved predictions for SMEFT can potentially form an intermediate step towards a full
next-to-leading (NLO) order computation by resumming large logarithms. Our current
implementation focuses on leading-order RGE improved results, which capture the leading
effects arising from the presence of separated energy scales. We nevertheless envision
that our setup, combined with the NLO computations of [27] and the two-loop anomalous
dimension matrix (once available) will form the basis of state-of-the-art SMEFT predictions
in the coming years.
The paper is organised as follows. We describe the setup used and implementation
details in section 2. In section 3 we discuss RGE effects for top quark operators presenting
the relevant anomalous dimension matrix and several examples of operator running and
mixing. In section 4, as an example we focus on top pair production and show the results
for the LHC taking into account running and mixing for different choices of dynamical and
fixed scales. These results are then used in section 5 to perform a toy fit to illustrate the
impact of RGE effects when constraining the Wilson coefficients. Finally we conclude in
section 6.
2
Computation and Monte Carlo implementation setup
In the conte (...truncated)