BSM constraints from model-independent measurements: A Contur Update
J. M. Butterworth

TL;DR
This paper updates the Contur tool to compare particle-level measurements with various BSM models, providing a model-independent way to constrain new physics scenarios using differential cross-section data.
Contribution
It presents an updated version of the Contur package that utilizes model-independent measurements to set constraints on diverse BSM models, including gauge symmetries, Dark Matter, and light scalars.
Findings
Constraints on a gauged Baryon-minus-Lepton symmetry model.
Limits on several Dark Matter simplified models.
Analysis of generic light scalar models.
Abstract
Particle-level measurements, especially of differential cross-sections, made in fiducial regions of phase-space have a high degree of model-independence and can therefore be used to give information about a wide variety of Beyond the Standard Model (BSM) physics implemented in Monte Carlo generators, using a broad range of final states. The Contur package is used to make such comparisons. We summarise a snapshot of current results for a number of BSM scenarios; a UV complete model in which the global Baryon-number minus Lepton-number symmetry is gauged; several Dark Matter simplified models, and two generic light scalar models.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
BSM constraints from model-independent measurements: A Contur Update
Jon Butterworth
Department of Physics & Astronomy, UCL, London, Gower St., London WC1E 6BT, UK [email protected]
Abstract
Particle-level measurements, especially of differential cross-sections, made in fiducial regions of phase-space have a high degree of model-independence and can therefore be used to give information about a wide variety of Beyond the Standard Model (BSM) physics implemented in Monte Carlo generators, using a broad range of final states. The Contur package is used to make such comparisons. We summarise a snapshot of current results for a number of BSM scenarios; a UV complete model in which the global Baryon-number minus Lepton-number symmetry is gauged; several Dark Matter simplified models, and two generic light scalar models.
1 Introduction
The Contur programme was presented in Ref. [1]. It makes use of the well-developed chain of phenomenological and experimental software tools which allows a new model to be coded in FeynRules[2], exported in a standard format [3] intelligible to full final-state event generators [4] such as Herwig [5], and compared to particle-level collider data stored in HEPDATA [6] using the analyses encoded in Rivet [7]. Essentially the idea is to look at the predicted contributions from a BSM model to the fiducial phase space of measurements which have been shown to be in good agreement with the Standard Model (SM), and see if the additional contributions would have been visible in the measurement. If so, that model (or those parameters of that model) are said to be disfavoured by the data, at some confidence level. More details are given in [1]. In each case, the Herwig event generator [5, 8] is used to generate inclusively all signatures involving the new particle content of the model. In this presentation we give an update of some recent results.
2 Gauged B-L model with heavy neutrinos
There is significant interest in extensions to the SM in which the global symmetry behind the conservation of (Baryon number minus lepton number) is gauged, giving an additional symmetry and an associated new gauge boson. One such model was discussed in [9], in which the additional gauge symmetry is spontaneously broken by an extra singlet Higgs. To make the model anomaly-free it also incorporates three generations of neutral leptons sterile under the SM gauge interactions, thereby enabling the Seesaw mechanism of light neutrino mass generation.
In [10], the potential signatures from a range of model parameters and processes were considered. While the heavy neutrinos may give rare and distinct signals (as discussed in [9]), they play no significant role in the signatures addessed by Contur. The important parameters are the mass of the new gauge boson and its coupling, , to the SM, and the mass of the new Higgs, , and its mixing, , with the SM Higgs. If the Higgs sector is decoupled (), the model reduces a rather standard model, and the majority of the parameter space reachable by Contur is already excluded by dedicated searches. More interesting is the case where is non-zero. An example, for GeV and , is shown in Figure 1. The Contur analysis of ATLAS, CMS and LHCb data disfavours a substantial region of the plane.
In regions where signatures involving direct production of the are not visible, either because it is too massive or is too low, it is useful to scan the vs plane to see where signatures involving the BSM Higgs might play a role. An example is given in Figure 2. The constraints from mass measurements (where the additional Higgs can contribute to loop corrections) are stringent. The Contur analysis extends them slightly, and there is lower sensitivity beyond this, apparent in the heatmap, showing that future measurements should be able to probe lower values.
3 Dark Matter
A Dark Matter (DM) ‘simplified model’ was considered in the first Contur paper [1]. In this model, DM is a Majorana fermion which couples to a mediating spin-1 boson via an axial-vector current with strength . The boson in turn couples to first generation SM quarks with a vector coupling of strength . An update of the results for is shown in Figure 3. The data which have been added to HEPDATA and Rivet since 2016 lead to improved sensitivity, although the lack of the published 8 TeV and 13 TeV dijet data still weakens the analysis compared to searches with those datasets. It is hoped that these data will soon be available in Rivet. The diagonal structure along the line is caused by the reduced sensitivity when the decays to DM rather than to jets.
A simple modification of this model such that the couples to all three flavours of quarks has also been studied. The main impact of this change is to open up decays to top quark pairs once . Many top measurements from both ATLAS and CMS are available in Rivet for 8 TeV and 13 TeV data, so the lack of dijet data is less important. The improved sensitivity is clearly visible in Figure 4.
This variant, with the coupling to all three generations, is much closer to the benchmark models studied by the experiments, for example in the summaries shown by CMS at ICHEP 2018 (see Figure 5), and the recent ATLAS compilation [13]. The most similar of these models has the same couplings, the only difference being that the DM candidate is now a Dirac fermion.
Exactly this model was also tested with Contur, with the result shown in Figure 6. The Contur limits are close to those given by the searches, despite the lack of dijet data and generally lower luminosity used in the measurements so far.
Another variant of the model, studied in [13], reduces to 0.1 but allows a small coupling to leptons, , opening up dilepton signatures. The Contur result for this scenario is shown in Figure 7. The sensitivity is not as strong as that of the searches in [13], because in addition to the lack of 8 and 13 TeV dijets, there is no 13 TeV dilepton measurement yet available in Rivet.
4 Light Scalars
Finally we consider LHC sensitivity to additional light scalar particles. These are a common feature in extensions of the SM, for example appearing in composite Higgs scenarios, or as the radion in models with extra dimensions [14]. Consideration of precision electroweak measurements, collider searches and flavour physics does not completely exclude the existence of light neutral CP-odd or CP-even scalar particles below the mass of the observed Higgs boson[15]. A CP-even scalar can for example be identified as the radion mode present in warped extra-dimension models with bulk gauge fields. A CP-odd scalar is typically a pseudo Nambu Goldstone boson from an approximate global symmetry, just like those appearing in composite Higgs models. The couplings to gauge fields are induced by the many fermion resonances populating the TeV scale (see e.g [16] or also [17]).
As part of the 2017 Les Houches workshop on TeV scale physics [18], a simplified model was used to examine whether measurements at the LHC can give information about such possible particles. Here we present updated results of that study.
The study uses an effective theory approach to describe a scalar with mass interacting with gauge bosons. The effective theory has symmetry. When the scalar is light, with a mass below the electroweak scale, we assume that it has large tree-level couplings, so that the loop-induced electroweak-breaking contributions are subleading. Under these conditions the interactions of a CP-even and CP-odd scalars with gauge bosons are described by dimension-5 effective Lagrangians. Mixing with the SM Higgs is assumed to be small to ensure that the SM Higgs has SM-like couplings compatible with measurements. A common scale for all couplings was assumed. More details are given in [18].
The measurements of interest are those involving isolated photons, or pairs of photons, in the final state. These have been measured inclusively [19, 20, 21], and in association with jets [22, 23, 24], or bosons[25, 26] (i.e. leptons and/or missing energy). At low and low-ish , one of the most sensitive measurements is the measurement from [25]. The Higgs fiducial diphoton measurements [27] are also of interest. These were studied and in principle have some sensitivity – events generated by the models considered do contribute to the fiducial region. However, since the value of considered here lie below the SM Higgs mass, the events which will enter the fiducial phase space of the Higgs measurement will arise from combinatorial backgrounds of pairs of photons, and thus will not exhibit a peak at the Higgs mass. Because of this, they are likely to removed as part of the background fitting and subtraction process in that analysis. We therefore do not include the Higgs cross sections when calculating the sensitivity.
A study carried out around the same time as the Les Houches study [28] using lower energy data as well as LHC data, but not the LHC boson+ data, obtains similar results, although due to differences in the definition of the couplings a precise comparison has not been carried out.
Figure 8 shows the LHC sensitivity in the vs plane for the CP-even scalar. Figure 9 the equivalent sensitivity for the CP-even scalar.
Dependent on , the values up to 4.5 to 10.5 TeV are excluded, under the assumptions of our procedure, for the CP-even scalar. For the CP-odd scalar, the maximum reach is around 8.5 TeV in .
5 Summary and Future Plans
The Contur approach exposes significant sensitivity to SM extensions in unfolded particle-level measurements. Where dedicated searches for these models have already been performed, see [29, 30], Contur has similar sensitivity if the same data set is used; however, in several cases it lags behind either because the measurements have not yet been made, or because they have not been made available in HEPDATA and Rivet. For BSM scenarios which have not been considered by dedicated searches, Contur provides an efficient way to identify models and regions of parameter space which are disfavoured by existing data, and those which remain of interest. The ability to consider the exact, inclusive phenomenology of a new model means that Contur smoothly transitions between different signals as the parameters of the model change the dominant processes.
At present, Contur does not make use of the full correlation information which is available for several of the measurements considered. The intention is to do so, which should increase the sensitivity is several cases. Also, in these studies we have taken the data – which are consistent with the SM – to be exactly equal to the SM, looking for whether the BSM contributions would have made a visible difference compared to the experimental uncertainties. In this mode, Contur can only ever exclude BSM scenarios, and where the SM theory uncertainty is large, it may in fact overestimate the exclusion. It is however possible to make use of precision final-state SM calculations, which means that in future Contur could potentially identify BSM scenarios which describe the data better than the SM.
More results and updates are available at https://contur.hepforge.org .
Acknowledgments
This work has received funding from the European Union’s Horizon 2020 research and innovation programme as part of the Marie Sklodowska-Curie Innovative Training Network MCnetITN3 (grant agreement no. 722104). I’d like to thank my Contur co-authors, especially David Yallup, as well as Peter Richardson who provided impressive support with the Herwig UFO interface. Finally, I would like to thank the conference organisers for the invitation and for hosting a really stimulating meeting, and especially Deepak Kar for his hospitality at University of the Witwatersrand.
References
- [1]
Butterworth J M, Grellscheid D, Krämer M, Sarrazin B and Yallup D 2017 JHEP 03 078 (Preprint 1606.05296)
- [2]
Alloul A, Christensen N D, Degrande C, Duhr C and Fuks B 2014 Comput. Phys. Commun. 185 2250–2300 (Preprint 1310.1921)
- [3]
Degrande C, Duhr C, Fuks B, Grellscheid D, Mattelaer O and Reiter T 2012 Comput. Phys. Commun. 183 1201–1214 (Preprint 1108.2040)
- [4]
Buckley A et al. 2011 Phys. Rept. 504 145–233 (Preprint 1101.2599)
- [5]
Bellm J et al. 2016 Eur. Phys. J. C76 196 (Preprint 1512.01178)
- [6]
Maguire E, Heinrich L and Watt G 2017 J. Phys. Conf. Ser. 898 102006 (Preprint 1704.05473)
- [7]
Buckley A, Butterworth J, Lonnblad L, Grellscheid D, Hoeth H et al. 2013 Comput.Phys.Commun. 184 2803–2819 (Preprint 1003.0694)
- [8]
Bellm J et al. 2017 (Preprint 1705.06919)
- [9]
Deppisch F F, Liu W and Mitra M 2018 JHEP 08 181 (Preprint 1804.04075)
- [10]
Amrith S, Butterworth J M, Deppisch F F, Liu W, Varma A and Yallup D 2018 LHC Constraints on a Gauge Model using Contur Tech. rep. UCL (Preprint 1811.11452)
- [11]
Busoni G et al. 2016 Recommendations on presenting LHC searches for missing transverse energy signals using simplified -channel models of dark matter Tech. rep. CERN (Preprint 1603.04156)
- [12]
Albert A et al. 2017 Recommendations of the LHC Dark Matter Working Group: Comparing LHC searches for heavy mediators of dark matter production in visible and invisible decay channels Tech. rep. CERN (Preprint 1703.05703)
- [13]
Aad G et al. (ATLAS Collaboration) 2018 Constraints on mediator-based dark matter models using TeV collisions at the LHC with the ATLAS detector Tech. Rep. ATLAS-CONF-2018-051 CERN Geneva URL https://cds.cern.ch/record/2646248
- [14]
Angelescu A, Moreau G and Richard F 2017 Phys. Rev. D96 015019 (Preprint 1702.03984)
- [15]
Cacciapaglia G, Deandrea A, Gascon-Shotkin S, Le Corre S, Lethuillier M and Tao J 2016 JHEP 12 068 (Preprint 1607.08653)
- [16]
Belyaev A, Cacciapaglia G, Cai H, Ferretti G, Flacke T, Parolini A and Serodio H 2017 JHEP 01 094 (Preprint 1610.06591)
- [17]
Fichet S, von Gersdorff G, Ponton E and Rosenfeld R 2016 JHEP 09 158 (Preprint 1607.03125)
- [18]
Brooijmans G et al. 2018 Les Houches 2017: Physics at TeV Colliders New Physics Working Group Report (Preprint 1803.10379) URL http://lss.fnal.gov/archive/2017/conf/fermilab-conf-17-664-ppd.pdf
- [19]
Aad G et al. (ATLAS) 2013 JHEP 01 086 (Preprint 1211.1913)
- [20]
Aad G et al. (ATLAS) 2014 Phys. Rev. D89 052004 (Preprint 1311.1440)
- [21]
Aad G et al. (ATLAS) 2016 JHEP 08 005 (Preprint 1605.03495)
- [22]
Chatrchyan S et al. (CMS) 2014 JHEP 06 009 (Preprint 1311.6141)
- [23]
Aad G et al. (ATLAS) 2013 Nucl. Phys. B875 483–535 (Preprint 1307.6795)
- [24]
Aad G et al. (ATLAS) 2012 Phys. Rev. D85 092014 (Preprint 1203.3161)
- [25]
Aad G et al. (ATLAS) 2013 Phys. Rev. D87 112003 [Erratum: Phys. Rev.D91,no.11,119901(2015)] (Preprint 1302.1283)
- [26]
Aad G et al. (ATLAS) 2016 Phys. Rev. D93 112002 (Preprint 1604.05232)
- [27]
Aad G et al. (ATLAS) 2014 JHEP 09 112 (Preprint 1407.4222)
- [28]
Mariotti A, Redigolo D, Sala F and Tobioka K 2018 Phys. Lett. B783 13–18 (Preprint 1710.01743)
- [29]
Whalen K these proceedings
- [30]
Pandolfi F these proceedings
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Butterworth J M, Grellscheid D, Krämer M, Sarrazin B and Yallup D 2017 JHEP 03 078 ( Preprint 1606.05296 )
- 2[2] Alloul A, Christensen N D, Degrande C, Duhr C and Fuks B 2014 Comput. Phys. Commun. 185 2250–2300 ( Preprint 1310.1921 )
- 3[3] Degrande C, Duhr C, Fuks B, Grellscheid D, Mattelaer O and Reiter T 2012 Comput. Phys. Commun. 183 1201–1214 ( Preprint 1108.2040 )
- 4[4] Buckley A et al. 2011 Phys. Rept. 504 145–233 ( Preprint 1101.2599 )
- 5[5] Bellm J et al. 2016 Eur. Phys. J. C 76 196 ( Preprint 1512.01178 )
- 6[6] Maguire E, Heinrich L and Watt G 2017 J. Phys. Conf. Ser. 898 102006 ( Preprint 1704.05473 )
- 7[7] Buckley A, Butterworth J, Lonnblad L, Grellscheid D, Hoeth H et al. 2013 Comput.Phys.Commun. 184 2803–2819 ( Preprint 1003.0694 )
- 8[8] Bellm J et al. 2017 ( Preprint 1705.06919 )
