# Standard Model updates and new physics analysis with the Unitarity Triangle fit

SNSN-323-63 July 17, 2018

Standard Model updates and new physics analysis with the Unitarity Triangle fit

A. Bevan, M. Bona^{1}

[3mm] UTfit Collaboration

Queen Mary University of London

INFN, Sezione di Roma Tre

University of Oxford

INFN, Sezione di Roma

INFN, Sezione di Roma Tre, and Università di Roma Tre

SISSA-ISAS

Università di Genova and INFN

California Institute of Technology

IPNL-IN2P3 Lyon

IN2P3-CNRS et Université de Paris-Sud

INFN, Sezione di Bologna

We present here the update of the Unitarity Triangle (UT) analysis performed by the UTfit Collaboration within the Standard Model (SM) and beyond. Continuously updated flavour results contribute to improving the precision of several constraints and through the global fit of the CKM parameters and the SM predictions. We also extend the UT analysis to investigate new physics (NP) effects on processes. Finally, based on the NP constraints, we derive upper bounds on the coefficients of the most general effective Hamiltonian. These upper bounds can be translated into lower bounds on the scale of NP that contributes to these low-energy effective interactions.

PRESENTED AT

8th International Workshop on the CKM Unitarity Triangle (CKM 2014), Vienna, Austria, September 8-12, 2014

## 1 Introduction

One of the main tasks of Flavor Physics is an accurate determination of the parameters of the Cabibbo-Kobayashi-Maskawa (CKM) matrix. It represents a crucial test of the SM and, moreover, improving the accuracy on the CKM parameters is at the heart of many searches for NP, where small NP effects are looked for.

## 2 Unitarity Triangle Analysis in the SM

The Unitarity Triangle (UT) analysis presented here is performed by the
UTfit Collaboration following the method described in
Refs [1, 2]. From a Bayesian global fit
the CKM parameters and from the Wolfenstein
parameterisation are obtained exploiting a plethora of flavour
measurements, both theoretical and experimental.
The basic constraints are: from semileptonic
decays, and from oscillations,
from mixing, from charmless hadronic
decays, from charm hadronic decays,
and from decays.
The complete set of numerical values used as inputs can be found at the URL
http://www.utfit.org ^{2}

Consider the angle of the CKM triangle: it is extracted from charmless hadronic decays with the method described in [5]. For this report, we updated the extraction with the latest input values, in particular using the BR with the new average , including the latest Belle result [6]. The left plot in Figure 1 shows the effect on the BR values on the p.d.f., while the middle plot combines the results from the analyses with the other charmless hadronic decays. This combination gives .

Using the above inputs and our Bayesian framework, we perform the global fit to extract the CKM matrix parameters and : we obtain and . The right plot in Figure 1 shows the result of the SM fit on the - plane.

With the default global fit, it is interesting to extract the UTfit predictions for SM observables. The BR is found to be in agreement at the level of with the experimental measurement of BR [3]. The BR is found to be , while BR is to be compared with the recent results by CMS and LHCb Collaborations ( and [7]).

## 3 Beyond the SM: Unitarity Triangle Analysis in presence of New Physics

We perform a full analysis of the UT reinterpreting the experimental observables including possible model-independent NP contributions. The possible NP effects considered in the analysis are those entering neutral meson mixing ( transitions) and they can be parameterised in a model-independent way as:

where in the SM and , or equivalently and . In addition, is the SM effective Hamiltonian, is its extension in a general NP model, and or .

The following experimental inputs are added to the fit to extract information on the system: the semileptonic asymmetry in decays, the di-muon charge asymmetry, the lifetime from flavour-specific final states, and CP-violating phase and the decay-width difference for mesons from the time-dependent angular analyses of decays.

From the full NP analysis, the global fit selects a region of the plane (left plot in Figure 2, with and ) which is consistent with the results of the SM analysis. The NP parameters in the and systems are also extracted from the fit and found in agreement with the SM expectations: , , and . The two right plots in Figure 2 show the values still available for the NP parameters in the system. Currently, the ratio of NP/SM amplitudes needs to be less than at probability ( at prob.) in mixing and less than at prob. ( at ) in mixing.

We now consider the most general effective Hamiltonian for processes () in order to translate the current constraints into allowed ranges for the Wilson coefficients of . The full procedure and analysis details are given in [8]. These coefficients have the general form

(1) |

where is a function of the (complex) NP flavour couplings, is a loop factor that is present in models with no tree-level Flavour Changing Neutral Currents (FCNC), and is the scale of NP. For a generic strongly-interacting theory with arbitrary flavour structure, one expects so that the allowed range for each of the can be immediately translated into a lower bound on .

The left plot in Figure 3 shows the results for the lower bounds on coming from all the ’s for all the sectors in the case of the general NP scenario, with arbitrary NP flavour structures () with arbitrary phase and corresponding to strongly-interacting and/or tree-level NP. To obtain the lower bound on for loop-mediated contributions, one simply multiplies the bounds we quote in the following by or by . The right plot in Figure 3 shows the lower bounds on in a Next-to-Minimal-Flavour-Violation (NMFV) scenario where the flavour structure is SM-like but with arbitrary phase relative to the SM.

We conclude that any model with strongly interacting NP and/or tree-level contributions is beyond the reach of direct searches at the LHC, while in the case of weak couplings the lower bounds on the NP scale are at the limit of the LHC reach. The flavour sector provides the possibility of indirect searches that remain a fundamental tool to constrain (or detect) NP at scales higher that the LHC can provide.

### Footnotes

- Speaker
- The results presented here are an update on the “Summer 2014” analysis and they will appear in the web-page as “Winter 2015”.

### References

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