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. 2022 Apr 4;82(4):290. doi: 10.1140/epjc/s10052-022-10127-0

Search for low-mass dilepton resonances in Higgs boson decays to four-lepton final states in proton–proton collisions at s=13TeV

A Tumasyan 1, W Adam 2, T Bergauer 2, M Dragicevic 2, J Erö 2, A Escalante Del Valle 2, R Frühwirth 2,196, M Jeitler 2,196, N Krammer 2, L Lechner 2, D Liko 2, T Madlener 2, I Mikulec 2, F M Pitters 2, N Rad 2, J Schieck 2,196, R Schöfbeck 2, M Spanring 2, S Templ 2, W Waltenberger 2, C-E Wulz 2,196, M Zarucki 2, V Chekhovsky 3, A Litomin 3, V Makarenko 3, J Suarez Gonzalez 3, M R Darwish 4,197, E A De Wolf 4, D Di Croce 4, X Janssen 4, T Kello 4,198, A Lelek 4, M Pieters 4, H Rejeb Sfar 4, H Van Haevermaet 4, P Van Mechelen 4, S Van Putte 4, N Van Remortel 4, F Blekman 5, E S Bols 5, S S Chhibra 5, J D’Hondt 5, J De Clercq 5, D Lontkovskyi 5, S Lowette 5, I Marchesini 5, S Moortgat 5, A Morton 5, Q Python 5, S Tavernier 5, W Van Doninck 5, P Van Mulders 5, D Beghin 6, B Bilin 6, B Clerbaux 6, G De Lentdecker 6, B Dorney 6, L Favart 6, A Grebenyuk 6, A K Kalsi 6, I Makarenko 6, L Moureaux 6, L Pétré 6, A Popov 6, N Postiau 6, E Starling 6, L Thomas 6, C Vander Velde 6, P Vanlaer 6, D Vannerom 6, L Wezenbeek 6, T Cornelis 7, D Dobur 7, M Gruchala 7, I Khvastunov 7,199, M Niedziela 7, C Roskas 7, K Skovpen 7, M Tytgat 7, W Verbeke 7, B Vermassen 7, M Vit 7, G Bruno 8, F Bury 8, C Caputo 8, P David 8, C Delaere 8, M Delcourt 8, I S Donertas 8, A Giammanco 8, V Lemaitre 8, K Mondal 8, J Prisciandaro 8, A Taliercio 8, M Teklishyn 8, P Vischia 8, S Wertz 8, S Wuyckens 8, G A Alves 9, C Hensel 9, A Moraes 9, W L Aldá Júnior 10, E Belchior Batista Das Chagas 10, H BRANDAO MALBOUISSON 10, W Carvalho 10, J Chinellato 10,200, E Coelho 10, E M Da Costa 10, G G Da Silveira 10,201, D De Jesus Damiao 10, S Fonseca De Souza 10, J Martins 10,202, D Matos Figueiredo 10, M Medina Jaime 10,203, C Mora Herrera 10, L Mundim 10, H Nogima 10, P Rebello Teles 10, L J Sanchez Rosas 10, A Santoro 10, S M Silva Do Amaral 10, A Sznajder 10, M Thiel 10, F Torres Da Silva De Araujo 10, A Vilela Pereira 10, C A Bernardes 11, L Calligaris 11, T R Fernandez Perez Tomei 11, E M Gregores 11, D S Lemos 11, P G Mercadante 11, S F Novaes 11, Sandra S Padula 11, A Aleksandrov 12, G Antchev 12, I Atanasov 12, R Hadjiiska 12, P Iaydjiev 12, M Misheva 12, M Rodozov 12, M Shopova 12, G Sultanov 12, M Bonchev 13, A Dimitrov 13, T Ivanov 13, L Litov 13, B Pavlov 13, P Petkov 13, A Petrov 13, W Fang 14,198, Q Guo 14, H Wang 14, L Yuan 14, M Ahmad 15, Z Hu 15, Y Wang 15, K Yi 15,204, E Chapon 16, G M Chen 16,205, H S Chen 16,205, M Chen 16, T Javaid 16,205, A Kapoor 16, D Leggat 16, H Liao 16, Z Liu 16, R Sharma 16, A Spiezia 16, J Tao 16, J Thomas-wilsker 16, J Wang 16, H Zhang 16, S Zhang 16,205, J Zhao 16, A Agapitos 17, Y Ban 17, C Chen 17, Q Huang 17, A Levin 17, Q Li 17, M Lu 17, X Lyu 17, Y Mao 17, S J Qian 17, D Wang 17, Q Wang 17, J Xiao 17, Z You 18, X Gao 19,198, M Xiao 20, C Avila 21, A Cabrera 21, C Florez 21, J Fraga 21, A Sarkar 21, M A Segura Delgado 21, J Jaramillo 22, J Mejia Guisao 22, F Ramirez 22, J D Ruiz Alvarez 22, C A Salazar González 22, N Vanegas Arbelaez 22, D Giljanovic 23, N Godinovic 23, D Lelas 23, I Puljak 23, Z Antunovic 24, M Kovac 24, T Sculac 24, V Brigljevic 25, D Ferencek 25, D Majumder 25, M Roguljic 25, A Starodumov 25,206, T Susa 25, M W Ather 26, A Attikis 26, E Erodotou 26, A Ioannou 26, G Kole 26, M Kolosova 26, S Konstantinou 26, J Mousa 26, C Nicolaou 26, F Ptochos 26, P A Razis 26, H Rykaczewski 26, H Saka 26, D Tsiakkouri 26, M Finger 27,207, M Finger Jr 27,207, A Kveton 27, J Tomsa 27, E Ayala 28, E Carrera Jarrin 29, H Abdalla 30,208, Y Assran 30,209,210, S Khalil 30,211, A Lotfy 31, M A Mahmoud 31, S Bhowmik 32, A Carvalho Antunes De Oliveira 32, R K Dewanjee 32, K Ehataht 32, M Kadastik 32, M Raidal 32, C Veelken 32, P Eerola 33, L Forthomme 33, H Kirschenmann 33, K Osterberg 33, M Voutilainen 33, E Brücken 34, F Garcia 34, J Havukainen 34, V Karimäki 34, M S Kim 34, R Kinnunen 34, T Lampén 34, K Lassila-Perini 34, S Lehti 34, T Lindén 34, H Siikonen 34, E Tuominen 34, J Tuominiemi 34, P Luukka 35, T Tuuva 35, C 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39, M Gouzevitch 39, B Ille 39, Sa Jain 39, I B Laktineh 39, H Lattaud 39, A Lesauvage 39, M Lethuillier 39, L Mirabito 39, L Torterotot 39, G Touquet 39, M Vander Donckt 39, S Viret 39, A Khvedelidze 40,207, Z Tsamalaidze 40,207, L Feld 41, K Klein 41, M Lipinski 41, D Meuser 41, A Pauls 41, M Preuten 41, M P Rauch 41, J Schulz 41, M Teroerde 41, D Eliseev 42, M Erdmann 42, P Fackeldey 42, B Fischer 42, S Ghosh 42, T Hebbeker 42, K Hoepfner 42, H Keller 42, L Mastrolorenzo 42, M Merschmeyer 42, A Meyer 42, G Mocellin 42, S Mondal 42, S Mukherjee 42, D Noll 42, A Novak 42, T Pook 42, A Pozdnyakov 42, Y Rath 42, H Reithler 42, J Roemer 42, A Schmidt 42, S C Schuler 42, A Sharma 42, S Wiedenbeck 42, S Zaleski 42, C Dziwok 43, G Flügge 43, W Haj Ahmad 43,214, O Hlushchenko 43, T Kress 43, A Nowack 43, C Pistone 43, O Pooth 43, D Roy 43, H Sert 43, A Stahl 43,215, T Ziemons 43, H Aarup Petersen 44, M Aldaya Martin 44, P Asmuss 44, I Babounikau 44, S Baxter 44, O Behnke 44, A Bermúdez 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Wichmann 44, C Wissing 44, S Wuchterl 44, O Zenaiev 44, R Zlebcik 44, R Aggleton 45, S Bein 45, L Benato 45, A Benecke 45, K De Leo 45, T Dreyer 45, A Ebrahimi 45, M Eich 45, F Feindt 45, A Fröhlich 45, C Garbers 45, E Garutti 45, P Gunnellini 45, J Haller 45, A Hinzmann 45, A Karavdina 45, G Kasieczka 45, R Klanner 45, R Kogler 45, V Kutzner 45, J Lange 45, T Lange 45, A Malara 45, C E N Niemeyer 45, A Nigamova 45, K J Pena Rodriguez 45, O Rieger 45, P Schleper 45, S Schumann 45, J Schwandt 45, D Schwarz 45, J Sonneveld 45, H Stadie 45, G Steinbrück 45, B Vormwald 45, I Zoi 45, J Bechtel 46, T Berger 46, E Butz 46, R Caspart 46, T Chwalek 46, W De Boer 46, A Dierlamm 46, A Droll 46, K El Morabit 46, N Faltermann 46, K Flöh 46, M Giffels 46, A Gottmann 46, F Hartmann 46,215, C Heidecker 46, U Husemann 46, M A Iqbal 46, I Katkov 46,220, P Keicher 46, R Koppenhöfer 46, S Maier 46, M Metzler 46, S Mitra 46, D Müller 46, Th Müller 46, M Musich 46, G Quast 46, K Rabbertz 46, J Rauser 46, D Savoiu 46, D Schäfer 46, M Schnepf 46, M Schröder 46, D Seith 46, I Shvetsov 46, H J Simonis 46, R Ulrich 46, M Wassmer 46, M Weber 46, R Wolf 46, S Wozniewski 46, G Anagnostou 47, P Asenov 47, G Daskalakis 47, T Geralis 47, A Kyriakis 47, D Loukas 47, G Paspalaki 47, A Stakia 47, M Diamantopoulou 48, D Karasavvas 48, G Karathanasis 48, P Kontaxakis 48, C K Koraka 48, A Manousakis-katsikakis 48, A Panagiotou 48, I Papavergou 48, N Saoulidou 48, K Theofilatos 48, K Vellidis 48, E Vourliotis 48, G Bakas 49, K Kousouris 49, I Papakrivopoulos 49, G Tsipolitis 49, A Zacharopoulou 49, I Evangelou 50, C Foudas 50, P Gianneios 50, P Katsoulis 50, P Kokkas 50, K Manitara 50, N Manthos 50, I Papadopoulos 50, J Strologas 50, M Bartók 51,221, M Csanad 51, M M A Gadallah 51,222, S Lökös 51,223, P Major 51, K Mandal 51, A Mehta 51, G Pasztor 51, O Surányi 51, G I Veres 51, G Bencze 52, C Hajdu 52, D Horvath 52,224, F Sikler 52, V Veszpremi 52, G Vesztergombi 52, S Czellar 53, J Karancsi 53,221, J Molnar 53, Z Szillasi 53, D Teyssier 53, P Raics 54, Z L Trocsanyi 54, B Ujvari 54, T Csorgo 55, F Nemes 55, T Novak 55, S Choudhury 56, J R Komaragiri 56, D Kumar 56, L Panwar 56, P C Tiwari 56, S Bahinipati 57,225, D Dash 57, C Kar 57, P Mal 57, T Mishra 57, V K Muraleedharan Nair Bindhu 57, A Nayak 57,226, D K Sahoo 57,225, N Sur 57, S K Swain 57, S Bansal 58, S B Beri 58, V Bhatnagar 58, G Chaudhary 58, S Chauhan 58, N Dhingra 58,227, R Gupta 58, A Kaur 58, S Kaur 58, P Kumari 58, M Meena 58, K Sandeep 58, S Sharma 58, J B Singh 58, A K Virdi 58, A Ahmed 59, A Bhardwaj 59, B C Choudhary 59, R B Garg 59, M Gola 59, S Keshri 59, A Kumar 59, M Naimuddin 59, P Priyanka 59, K Ranjan 59, A Shah 59, M Bharti 60,228, R Bhattacharya 60, S Bhattacharya 60, D Bhowmik 60, S Dutta 60, S Ghosh 60, B Gomber 60,229, M Maity 60,230, S Nandan 60, P Palit 60, P K Rout 60, G Saha 60, B Sahu 60, S Sarkar 60, M Sharan 60, B Singh 60,228, S Thakur 60,228, P K Behera 61, S C Behera 61, P Kalbhor 61, A 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PMCID: PMC8979937  PMID: 35467301

Abstract

A search for low-mass dilepton resonances in Higgs boson decays is conducted in the four-lepton final state. The decay is assumed to proceed via a pair of beyond the standard model particles, or one such particle and a Z boson. The search uses proton–proton collision data collected with the CMS detector at the CERN LHC, corresponding to an integrated luminosity of 137fb-1, at a center-of-mass energy s=13TeV. No significant deviation from the standard model expectation is observed. Upper limits at 95% confidence level are set on model-independent Higgs boson decay branching fractions. Additionally, limits on dark photon and axion-like particle production, based on two specific models, are reported.

Introduction

Following the discovery of the Higgs boson (H) by the ATLAS and CMS Collaborations [13] at the CERN LHC, a thorough program of precise measurements [46] has been carried out to uncover possible deviations from the standard model (SM) or to decipher the nature of the Higgs sector. In particular, various exotic decays of the Higgs boson have been considered, in which small deviations in the Higgs boson decay width or discovery of exotic decay modes could constitute evidence of beyond the SM (BSM) physics.

This paper describes a search for exotic decays of the Higgs boson HZX or HXX in the four-lepton (electrons or muons) final state, using a sample of proton–proton collision data at a center-of-mass energy of 13TeV recorded by the CMS experiment in 2016–2018. The analyzed data sample corresponds to an integrated luminosity of 137fb-1. Here X represents a possible BSM particle that could decay into a pair of opposite-sign, same-flavor (OSSF) leptons. In this paper, we consider two specific BSM models. In both models, leptonic decays of X and Z to either two muons or electrons give rise to the 4 (where 4 may denote 4μ, 2e2μ, or 4e) final states. Assuming narrow-width approximation decays of X, only the mass range mX<mH-mZ35GeV (mX<mH/262.5GeV) is kinematically possible for HZX (HXX), where mH and mZ are the Higgs boson mass and Z boson mass, respectively. The decay channel ppH4 has a large signal-to-background ratio. This channel allows a complete reconstruction of the kinematics of the Higgs boson based on final-state decay particles. In this analysis, a mass range of 4.0<mX<35.0GeV (62.5GeV) is considered.

The first model considered, hereby referred to as the “hidden Abelian Higgs model” (HAHM), concerns theories with a hidden “dark” sector [711], with the X particle identified as the dark photon (ZD), which mediates a dark U(1)D gauge symmetry, which is spontaneously broken by a dark Higgs mechanism. Interactions of the dark sector with SM particles can occur through a hypercharge portal via the kinetic-mixing parameter ε, or through a Higgs portal via the Higgs-mixing parameter κ, as shown in Fig. 1. Details of this theory and subsequent phenomenological implications can be found in Ref. [7]. Several searches for ZD were previously performed by collider experiments, for example ATLAS [12, 13] and LHCb [14]. Other experiments, such as beam dump experiments, fixed target experiments, helioscopes, and cold dark matter direct detection experiments, provide complementary sensitivities to ZD. A summary of the experimental coverage of the HAHM model can be found in Refs. [15, 16].

Fig. 1.

Fig. 1

Feynman diagrams for Higgs boson decay via the kinetic-mixing (left) or Higgs-mixing mechanism (right) [7]. The symbol h represents the Higgs boson, and s represents the dark Higgs boson. The symbol ε represents the kinetic-mixing parameter while κ represents the Higgs-mixing parameter

The second model involves axion-like particles (ALPs), with X being a pseudoscalar gauge singlet a. Axions were originally proposed to address the strong CP problem [17]. Recently, ALPs were proposed to explain the observed anomaly in the magnetic moment of the muon [18]. Theoretical overviews of the ALP models can be found in Refs. [19, 20]. The models are formulated as an effective field theory of ALPs coupled to various SM particles. In particular, the theory allows the coupling between the Higgs boson, Z boson, and the ALP field, or the Higgs boson and the ALP field. These couplings are represented by the Wilson coefficients CZH/Λ and CaH/Λ2, respectively, where Λ is the decoupling energy scale in the effective field theory, or the mass scale of new physics. The former (latter) coefficient gives rise to the exotic decay of HZa (aa). Various experimental searches for Haa have been performed [2126]. Recently a direct search for HZa has been performed targeting a signature with a light and hadronically decaying resonance a with ma<4GeV [27]. The present search provides complementary coverage of the phase space of the ALP model with mass greater than 4GeV.

This paper is organized as follows. Section 2 describes the CMS detector and event reconstruction algorithms. Section 3 outlines the collision data used and various software packages used to generate the samples of simulated events. Section 4 summarizes the selection criteria and the categorization of signal events, and Sect. 5 describes the reducible background estimation method. Section 6 describes the various sources of systematic uncertainties in the search. Finally, results and interpretations are detailed in Sect. 7, and a summary is given in Sect. 8. Tabulated results are provided in HEPData [28].

The CMS detector and event reconstruction

The central feature of the CMS apparatus is a superconducting solenoid of 6m internal diameter, providing a magnetic field of 3.8T. Within the solenoid volume are a silicon pixel and strip tracker, a lead tungstate crystal electromagnetic calorimeter (ECAL), and a brass and scintillator hadron calorimeter (HCAL), each composed of a barrel and two endcap sections. Forward calorimeters extend the pseudorapidity (η) coverage provided by the barrel and endcap detectors. Muons are detected in gas-ionization chambers embedded in the steel flux-return yoke outside the solenoid. A more detailed description of the CMS detector, together with a definition of the coordinate system used and the relevant kinematic variables, can be found in Ref. [29].

Events of interest are selected using a two-tiered trigger system [30]. The first level, composed of custom hardware processors, uses information from the calorimeters and muon detectors to select events at a rate of around 100kHz within a fixed time interval of about 4μs. The second level, known as the high-level trigger, consists of a farm of processors running a version of the full event reconstruction software optimized for fast processing, and reduces the event rate to around 1kHz before data storage.

The candidate vertex with the largest value of summed physics-object pT2 (where pT is the transverse momentum) is taken to be the primary pp interaction vertex. The physics objects are the jets, clustered using the jet finding algorithm [31, 32] with the tracks assigned to candidate vertices as inputs, and the associated missing transverse momentum, taken as the negative vector sum of the pT of those jets.

The particle-flow (PF) algorithm [33] aims to reconstruct and identify each individual particle in an event (PF candidate), with an optimized combination of information from the various elements of the CMS detector. The energy of photons is obtained from the ECAL measurement. The energy of electrons is determined from a combination of the electron momentum at the primary interaction vertex as determined by the tracker, the energy of the corresponding ECAL cluster, and the energy sum of all bremsstrahlung photons spatially compatible with originating from the electron track. The energy of muons is obtained from the curvature of the corresponding track. The energy of charged hadrons is determined from a combination of their momentum measured in the tracker and the matching ECAL and HCAL energy deposits, corrected for the response function of the calorimeters to hadronic showers. Finally, the energy of neutral hadrons is obtained from the corresponding corrected ECAL and HCAL energies.

The missing transverse momentum vector pTmiss is computed as the negative vector sum of the transverse momenta of all the PF candidates in an event, and its magnitude is denoted as pTmiss  [34]. The pTmiss is modified to account for corrections to the energy scale of the reconstructed jets in the event.

Muons in the four lepton final state are measured in the range |η|<2.4, with detection planes made using three technologies: drift tubes, cathode strip chambers, and resistive plate chambers. The single-muon trigger efficiency exceeds 90% over the full η range, and the efficiency to reconstruct and identify muons is greater than 96%. Matching muons to tracks measured in the silicon tracker results in a relative pT resolution, for muons with pT up to 100GeV, of 1% in the barrel and 3% in the endcaps [35].

Electrons in the four lepton final state with pT>7GeV and |η|<2.5 are identified by a multivariate discriminant, which is constructed by observables related to the bremsstrahlung along the electron trajectory, ECAL energy measurements, electromagnetic showers, missing pixel detector hits, and the photon conversion vertex fit probability [36]. The electron momentum is estimated by combining the energy measurement in the ECAL with the momentum measurement in the tracker. The momentum resolution for electrons with pT45GeV from Zee decays ranges from 1.7 to 4.5%. It is generally better in the barrel region than in the endcaps, and also depends on the bremsstrahlung energy emitted by the electron as it traverses the material in front of the ECAL. The dielectron mass resolution for Zee decays when both electrons are in the ECAL barrel (endcap) is 1.9% (2.9%).

This analysis focuses on promptly produced signal processes. To reduce the contributions from leptons arising from hadron decays within jets, a requirement is imposed on each lepton candidate using a variable defined as:

I=pTcharged+max[0,pTneutral+pTγ-pTPU]pT 1

where the sums are over the PF candidates within a cone of radius R=Δη2+Δϕ2<0.3 (where ϕ is the azimuthal angle in radians), pTi represents transverse momenta from each particle i, where i represents either charged hadrons, neutral hadrons, photons, or particles originating from overlapping proton–proton interactions (pileup) [37]. For muons, the isolation is required to be Iμ<0.35. For electrons, this variable is included in the multivariate discriminant for datasets in 2017 and 2018, while for the dataset in 2016, an isolation requirement Ie<0.35 is imposed on each electron candidate. In addition, the three-dimensional impact parameter of electrons and muons is required to be consistent with the primary collision vertex. The requirement implies a negligible acceptance to signal models with long-lived X.

An algorithm is utilized to correct for effects arising from final-state radiation (FSR) from leptons. PF-reconstructed photons are considered as FSR candidates if they satisfy the requirement pTγ>2GeV and Iγ<1.8, where Iγ is calculated similarly to the lepton isolation variable. Then each FSR candidate is assigned to the closest lepton in the event. The candidates are further required to have ΔR(γ,)/(pTγ)2<0.012GeV-2 and ΔR(γ,)<0.5. These candidates are excluded from the calculation of the lepton isolation variables.

Lepton reconstruction and selection efficiencies are measured in data by a “tag-and-probe” technique with an inclusive sample of Z boson events [38]. The difference between the efficiencies in data and simulation are observed to be around 1–4%, depending on pT and η of the lepton considered. The differences are used to correct lepton efficiencies in simulation.

Data and simulated samples

Leading order (LO) signal samples for the physics processes ppHZZD(ZDZD)4, where =(e,μ), are generated using the MadGraph 5_amc@nlo 2.2.2 (2.4.2) [3941] generator for 2016 (2017 and 2018), with HAHM [7] at leading order. Cross sections for each ZD signal are calculated by multiplying the next-to-next-to-next-to-leading order (NNNLO) Higgs production cross section [42] by the branching fraction of HZZD and HZDZD, respectively [7]. Final states with τ leptons are neglected as their contribution to the signal region yield is below 1%. Signal contributions from vector-boson fusion and associated production with a top quark pair or a vector boson are also omitted.

The SM Higgs boson simulation samples, which include gluon fusion, vector boson fusion, and associated production with a top quark pair or a vector boson, and the simulated ZZ background from quark-antiquark annihilation are generated at next-to-leading order (NLO) in perturbative quantum chromodynamics with powheg  v2 [4346]. The cross section for the dominant production mode, gluon fusion, is taken at NNNLO [42].

Decays of the Higgs boson to four leptons are simulated with JHUGen 7.0.2 [47, 48]. The non-resonant process of ggZZ process is simulated at LO with mcfm 7.0.1 [49]. NLO correction factors [50] are applied to the ggZZ process.

Minor backgrounds from tt¯Z and triboson production processes are also simulated at LO and NLO, respectively, with the MadGraph 5_amc@nlo 2.2.2 (2.4.2) [3941] generator for 2016 (2017 and 2018).

The set of parton distribution functions (PDFs) used was NNPDF3.0 [51] (NNPDF3.1 [52]) for the 2016 (2017 and 2018) simulation. Parton showering and hadronization are simulated using the pythia  8.230 generator [53] with the CUETP8M1 (CP5) underlying event tune for the 2016 (2017 and 2018) simulation [54, 55]. The response of the CMS detector is modeled using the Geant4 program [56, 57]. Simulated events are reweighted according to a specified instantaneous luminosity and an average number of pileup events.

Event selection

In the trigger system, events are required to have more than two leptons. The overall trigger efficiency is measured in data using a sample of 4 events from single-lepton triggers and agreements are observed with simulation within 5%, and is found to be larger than 99%.

A set of requirements is applied to maximize the sensitivity of the search for a potential signal in the ZX and XX event topologies. In both cases, at least four well-identified and isolated leptons from the primary vertex are required, possibly accompanied by an FSR photon. Each muon (electron) is required to have pT>5GeV (7GeV). All four leptons must be separated from each other by ΔR(i,j)>0.02. The leading (subleading) lepton pT is required to satisfy pT>20GeV (10GeV). The four-lepton invariant mass m4 is required to be within 118<m4<130GeV. To further suppress background contributions from hadron decays in jet fragmentation or from the decay of low-mass resonances, all opposite-charge leptons pairs, regardless of lepton flavor, are required to satisfy m+->4GeV.

For each event in the ZX and XX searches, dilepton pair candidates are formed by considering all OSSF leptons. The dilepton invariant mass m+- for each candidate is required to be within 4<m+-<120GeV, however the mass window around the Υ bb¯ bound states (8.0<mΥ<11.5GeV) is also excluded.

Two dilepton candidates are then paired to form a ZX or XX event candidate. For the ZX search, Z1 is the OSSF dilepton pair with an invariant mass closest to the Z boson mass [58] (representing Z in ZX), and Z2 is the other pair (X). For the XX search, Z1 is the OSSF dilepton pair with the larger invariant mass, and Z2 is the lower-mass pair. For the ZX search, mZ1 is required to be larger than 40GeV. For the XX search, mZ1 and mZ2 must lie between 4 and 62.5GeV. For events with more than four selected leptons, the combination of four leptons with mZ1 closest to the Z boson is used for the ZX candidate, while the combination with the least value of (mZ1-mZ2)/(mZ1+mZ2) is used to select XX candidates with similar invariant masses.

Four final-state lepton categories can be defined as 4μ, 2μ2e, 4e, 2e2μ, where the order of lepton flavors corresponds to Z1 and Z2 flavors. For the 4μ and 4e final states, one alternative pairing of the four leptons is possible, labelled by Za and Zb. For the ZX search, events with mZb<12GeV and mZa closer to the Z boson mass than Z1 are discarded to suppress background contributions from on-shell Z and low-mass dilepton resonances. For the XX search, the XX candidate with the smallest value of (mZ1-mZ2)/(mZ1+mZ2) is chosen.

Background estimation

Irreducible background estimation

Irreducible backgrounds for this search come from processes including a SM Higgs boson, as well as nonresonant production of ZZ via quark-antiquark annihilation or gluon fusion, and rare backgrounds such as tt¯+Z and triboson production. These backgrounds are estimated from simulation. Details of the simulation used for each of the backgrounds are described in Sect. 3.

Reducible background estimation

The reducible backgrounds in the 4 final state can arise from the leptonic decays of heavy-flavor hadrons, in-flight decays of light mesons within jets, charged hadrons misidentified as electrons when in proximity of a π0, and photon conversions. These backgrounds primarily arise from the Z+jets process. Additional physics processes with kinematics similar to the signal include tt¯, Zγ, and WZ.

Two dedicated control regions are used to estimate the contribution from these backgrounds. The first (second) control region consists of events with two (three) leptons passing the lepton identification and isolation requirements and two (one) leptons failing the requirements, and is denoted as the 2P2F (3P1F) region. Backgrounds with only two prompt leptons, such as Z+jets and tt¯, are estimated by the 2P2F region, while backgrounds with three prompt leptons, such as WZ and Zγ with the photon converting to an electron pair, are estimated by the 3P1F region. Other than the lepton requirements, the 3P1F and 2P2F regions follow the same event selection and alternative pairing algorithms as in the signal region to closely mimic its kinematics.

The lepton misidentification rates fμ and fe are measured as a function of lepton pT and η with a sample which includes a Z candidate, formed by a pair of leptons passing the selection requirement of the analysis, and an additional lepton passing a relaxed requirement. These rates are measured separately in the data samples from 2016, 2017, and 2018. In addition, the mass of the Z candidate is required to satisfy the condition |mZ1-mZ|<7GeV to reduce contributions from WZ and tt¯ processes, and pTmiss is required to be less than 25GeV.

To estimate the background contribution in the signal region, events in the 3P1F and 2P2F control regions are reweighted by lepton misidentification probabilities. Each event i in the 3P1F region is weighted by a factor f4i/(1-f4i), where f4i corresponds to the lepton misidentification rate of the failed lepton in the event. Physics processes in the 2P2F control region can contribute to the 3P1F region and are estimated by reweighting 2P2F events with f3i/(1-f3i)+f4i/(1-f4i), where f3i and f4i correspond to the lepton misidentification rates of the two failed leptons in the event. A minor contribution from ZZ events to the 3P1F control region is estimated from simulation and subtracted. The expected yield for the signal region can then be estimated as:

NSRreducible=1-N3P1FZZN3P1F×iN3P1Ff4i1-f4i-iN2P2Ff3i1-f3if4i1-f4i 2

where each sum is over all 3P1F and 2P2F events, respectively.

Furthermore, dedicated validation regions, which include adjacent m4 regions to the signal region (70<m4<118GeV, 130<m4<200GeV), are defined to inspect the level of agreement between data and predictions.

Systematic uncertainties

Experimental sources of the systematic uncertainties applicable to all final states include the integrated luminosity uncertainty and the lepton identification and reconstruction efficiency uncertainty. The integrated luminosities of the 2016, 2017, and 2018 data-taking periods are individually known with uncertainties in the 1.2–2.5% range [5961], while the total Run 2 (2016–2018) integrated luminosity has an uncertainty of 1.6% [62], the improvement in precision reflecting the (uncorrelated) time evolution of some systematic effects. Lepton efficiency uncertainties are estimated in bins of lepton pT and η using the tag-and-probe method, as described in Sect. 2. These uncertainties on each lepton candidate lead to variations from 2.5 to 16.1% on event yields, dependent on final-state lepton categories. In addition, the systematic uncertainties in the lepton energy scale are determined by fitting the Z mass distribution in bins of lepton pT and η with a Breit–Wigner parameterization convolved with a double-sided Crystal Ball function [63]. Systematic uncertainties in the estimation of the reducible background are derived from the level of agreement between data and predictions in the validation regions in each lepton category (23–48% depending on data taking period), arising from different background compositions between signal and control regions (30–38% depending on lepton category), and from misidentification rate uncertainties (35–100% depending on lepton category).

Theoretical uncertainties that affect both the signal and background estimation include uncertainties in the renormalization and factorization scales and the choice of the PDF set. The uncertainty from the renormalization and factorization scales is determined by varying these scales between 0.5 and 2 times their nominal value while keeping their ratio between 0.5 and 2. The uncertainty from the PDF set is determined by taking the root-mean-square of the variation when using different replicas of the default NNPDF set [64]. An additional uncertainty of 10% in the K factor used for the gg4 prediction is included [37]. To estimate the effect of the interference between the signal and background processes, three types of samples are generated using the MadGraph 5_amc@nlo 2.4.2 [3941] generator: inclusive sample (HZZ4, HZX/XX4), signal-only sample HZX/XX4 and background-only sample HZZ4. The inclusive sample contains background, signal, and interference contributions. The effect of the interference on the normalization of the signal is estimated by taking the difference of the inclusive sample cross section and the sum of the cross sections of the signal and background samples. This difference is at 1–2% after the final event selection. Theoretical values of branching fractions B(ZDeeorμμ) are calculated in Ref. [7]. The calculations are based on experimental measurements of the ratio of the hadronic cross section to the muon cross section in electron-positron collisions Rμμ/Rhad up to mZD=12GeV and a next-to-leading order theoretical calculation for mZD>12GeV. To account for uncertainties in these theoretical estimates, a conservative 20% (10%) uncertainty is assigned to them for mZD<12GeV (mZD>12GeV) [7]. Differences in the kinematic properties between the HAHM and ALP model have been inspected. For the determination of model-independent exclusion limits, differences in acceptances are included as systematic uncertainties, ranging from 10% (mX4GeV) to 30% (mX35GeV for ZX, mX60GeV for XX), while they are used to correct signal yields for the determination of ALP exclusion limits.

In the combination of the three data taking periods, the theoretical uncertainties and experimental ones related to leptons are correlated across all data taking periods, while all others from experimental sources are taken as uncorrelated. The sensitivity of this analysis is dominated by data statistical uncertainty rather than systematic uncertainties.

Results and interpretation

Dilepton mass distributions for the ZX and XX selections are shown in Figs. 2 and 3, respectively. The dilepton mass variable for the XX selection shown in Fig. 3 is mZ12=(mZ1+mZ2)/2, which should peak at mX in case of a signal HXX. In all cases, the observed distributions agree well with standard model expectations within the assigned uncertainties.

Fig. 2.

Fig. 2

Event yields against mZ2 with the ZX selection for the muon and electron channels. Numbers in the legend show the total event yields with the ZX selection corresponding to data, and the expected yields for each background and signal processes, along with the corresponding statistical uncertainty coming from the amount of simulated data

Fig. 3.

Fig. 3

Event yields against mZ12=(mZ1+mZ2)/2 with the XX selection for the 4μ, 2e2μ, and 4e final states. Numbers in the legend show the total event yields with the XX selection corresponding to data, and the expected yields for each background and signal processes, along with the corresponding statistical uncertainty coming from the amount of simulated data

These results are further interpreted as upper limits on model-independent branching fractions and model parameters for the dark photon and ALP models. For interpretations of the results of the ZX selection, 351 mass hypotheses are considered. Each mass hypothesis mi is defined with an incremental step of 0.5%, as mi=4.20×1.005i, where i=0,1,2,,424, excluding the mass points around the Υ bb¯ bound states between 8.0<mΥ<11.5GeV (i=130,131,,201). The incremental step is chosen so as not to miss any potential signal contribution due to detector resolution in mZ2. For each mass hypothesis, the counting experiments are performed on the mZ2 distribution, with the bin centered at each mass hypothesis. Because of the finite mass resolution of mZ2, the choice of the bin width needs to be defined such that most of the signal contribution is included in the bin. The bin width is defined as 0.04(0.10)×mi for the 4μ and 2e2μ (4e and 2μ2e) categories. This width is chosen as two times the mZ2 resolution and includes 95% of signal events. The normalization of the Higgs background is allowed to float freely in the likelihood fit. For each mass hypothesis, events outside the mass window are included as a sideband to constrain the normalization parameter. No significant deviation with respect to the SM prediction is observed.

For interpretations of the results of the XX selection, 462 mass hypotheses are considered instead. In contrast to the ZX interpretations, the counting experiments are performed by constructing a rectangular region, centered at each mass hypothesis, in the (mZ1,mZ2) plane. The rectangular regions are effectively triangular as mZ1 is defined as the larger invariant mass. The bin widths are defined in a similar manner as 0.04mi (0.10mi) for mZ1 or mZ2 formed by muon (electron) pairs.

The likelihood model for each mass hypothesis is formulated as

Lm=Lm,SRLm,SB 3
Lm,SR=Pois(nm,|μHiggsnHiggs,m,+bnb,m,ρb,m,+μns,m,ρs,m,), 4
Lm,SB=Pois(n|μHiggsnHiggs,+bnb,ρb,) 5

where the function Pois(n|x) is the Poisson probability to observe n events, when the expectation is x. The symbol m represents a particular mass hypothesis. The likelihood term Lm,SR (Lm,SB) corresponds to the event yields within (outside) the mass window. The symbol μ is the signal strength parameter, μHiggs represents the free floating normalizing parameter on the SM Higgs boson process, represents each lepton category, b represents each background process, s represents a particular signal process and ni,m, represents the yield in a mass window associated with the mass hypothesis m, from a source i and the lepton category . In Eq. (5), the symbols nHiggs, and nb, represent the yields of the SM Higgs boson and other backgrounds b outside the mass window for the lepton category . Systematic uncertainties are included and profiled as nuisance parameters ρ [65].

For each interpretation, 95% exclusion limits are obtained with an asymptotic formulation of the modified frequentist CLs criterion as described in Refs. [6568] with the ZX selection and full CLs approach for the XX selection.

Model-independent limits

Upper limits at 95% confidence level (CL) are derived on model-independent branching fractions with the ZX and XX selections assuming three decay channels: a flavor symmetric decay of X to a muon or an electron pair, exclusive X decays to a muon pair, and exclusive X decays to an electron pair. Acceptance effects arising from different signal models are included as systematic uncertainties in the signal yields after event selection. Little model dependence is expected as the event selection is defined without using angular information between the leptons. Figures 4 and 5 show the exclusion limits on the model-independent branching fractions with the ZX and XX selections, respectively. The weaker observed limit in the XX selection at mX18GeV is due to one observed data event and does not represent a significant statistical deviation from the background hypothesis. Kinematic differences between the dark photon and ALP models are included as systematic uncertainties, as detailed in Sect. 6.

Fig. 4.

Fig. 4

Expected and observed 95% CL limits on B(HZX)B(Xμμ) assuming X decays to dimuons only, B(HZX)B(Xee) assuming X decays to dielectrons only, and B(HZX)B(Xeeorμμ) assuming a flavor symmetric decay of X to dimuons and dielectrons. The dashed black curve is the expected upper limit, with one and two standard-deviation bands shown in green and yellow, respectively. The solid black curve is the observed upper limit. The red curve represents the theoretical cross section for the signal process HZX4. The discontinuity at 12GeV in the uncertainty is due to the switch from experimental to theoretical uncertainty estimates of B(ZDeeorμμ), as described in Ref. [7]. The symbol ε is the kinetic-mixing parameter. The grey band corresponds to the excluded region around the bb¯ bound states of Υ

Fig. 5.

Fig. 5

Expected and observed 95% CL limits on B(HXX)B(Xμμ)2 assuming X decays to dimuons only, B(HXX)B(Xee)2 assuming X decays to dielectrons only, and B(HXX)B(Xeeorμμ)2 assuming a flavor symmetric decay of X to dimuons and dielectrons. The dashed black curve is the expected upper limit, with one and two standard-deviation bands shown in green and yellow, respectively. The solid black curve is the observed upper limit. The red curve represents the theoretical cross section for the signal process HXX4. The discontinuity at 12GeV in uncertainty is due to the switch from experimental to theoretical uncertainty estimates of B(ZDeeorμμ), as described in Ref. [7]. The symbol κ is the Higgs-mixing parameter. The grey band corresponds to the excluded region around the bb¯ bound states of Υ

Limits on dark photon model parameters

Upper limits at 95% CL are obtained on the Higgs-mixing parameter κ and B(HZDZD) with the XX selection, as shown in Fig. 6, assuming κε. The LHC provides unique sensitivity to the parameter κ due to the presence of the Higgs boson. In addition, this analysis provides some sensitivity to ε, but the upper limits are almost an order of magnitude weaker than those from the Drell–Yan search and from the LHCb Collaboration [14], and hence are not reported in this paper.

Fig. 6.

Fig. 6

95% CL limits on the Higgs-mixing parameter κ, based on the XX selection, as function of mZD. The dashed black curve is the expected upper limit, with one and two standard-deviation bands shown in green and yellow, respectively. The solid black curve is the observed upper limit. The grey band corresponds to the excluded region around the bb¯ bound states of Υ

Limits on the ALP model

Upper limits at 95% CL are calculated on the Wilson coefficients CZH/Λ and CaH/Λ2, as shown in Fig. 7, where CZH is the effective coupling parameter of the Higgs boson, Z boson, and the ALP, CaH is the effective coupling parameter of the Higgs boson and the ALP, and Λ is the new physics scale. In both interpretations, the ALP is assumed to decay promptly with B(aeeorμμ)=1, with equal fractions to muons and electrons. The last six mass hypotheses are omitted in the calculation of upper limits on CZH/Λ to match the ma range adopted in Ref. [20]. Kinematic differences between the dark photon and ALP models are included as corrections on signal region yields, as detailed in Sect. 6.

Fig. 7.

Fig. 7

95% CL limit on CZH/Λ and CaH/Λ2 as function of ma. Black curves are the expected upper limits, with one and two standard-deviation bands shown in green and yellow, respectively. The solid black curves represent the observed upper limits. The grey band corresponds to the excluded region around the bb¯ bound states of Υ

Summary

A search for dilepton resonances in Higgs boson decays to four-lepton final states has been presented. The search considers the two intermediate decay topologies HZX and HXX. No significant deviations from the standard model expectations are observed. The search imposes experimental constraints on products of model-independent branching fractions of B(HZX), B(HXX) and B(Xeeorμμ), assuming flavor-symmetric decays of X to dimuons and dielectrons, exclusive decays of X to dimuons, and exclusive decays of X to dielectrons, for mX>4GeV. In addition, two well-motivated theoretical frameworks beyond the standard model are considered. Due to the presence of the Higgs boson production in LHC proton–proton collisions, the search provides unique constraints on the Higgs-mixing parameter κ<4×10-4 at 95% confidence level (CL) in a dark photon model with the XX selection, in Higgs-mixing-dominated scenarios, while searches for ZD in Drell–Yan processes [14, 69] provide better exclusion limits on ε in kinetic-mixing-dominated scenarios. For the axion-like particle model, upper limits at 95% CL are placed on two relevant Wilson coefficients CZH/Λ and CaH/Λ2. This is the first direct limit on decays of the observed Higgs boson to axion-like particles decaying to leptons.

Acknowledgements

We congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC and thank the technical and administrative staffs at CERN and at other CMS institutes for their contributions to the success of the CMS effort. In addition, we gratefully acknowledge the computing centres and personnel of the Worldwide LHC Computing Grid and other centres for delivering so effectively the computing infrastructure essential to our analyses. Finally, we acknowledge the enduring support for the construction and operation of the LHC, the CMS detector, and the supporting computing infrastructure provided by the following funding agencies: BMBWF and FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China); MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT (Ecuador); MoER, ERC PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP (Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRI (Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland); INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania); MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI (Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC (Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI (Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST, STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU (Ukraine); STFC (United Kingdom); DOE and NSF (USA). Individuals have received support from the Marie-Curie programme and the European Research Council and Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 884104, and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and FWO (Belgium) under the “Excellence of Science – EOS" – be.h project n. 30820817; the Beijing Municipal Science & Technology Commission, No. Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Deutsche Forschungsgemeinschaft (DFG), under Germany’s Excellence Strategy – EXC 2121 “Quantum Universe" – 390833306, and under project number 400140256 - GRK2497; the Lendület (“Momentum") Programme and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences, the New National Excellence Program ÚNKP, the NKFIA research grants 123842, 123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the Council of Science and Industrial Research, India; the Latvian Council of Science; the Ministry of Science and Higher Education and the National Science Center, contracts Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861 (Poland); the Fundação para a Ciência e a Tecnologia, grant CEECIND/01334/2018 (Portugal); the National Priorities Research Program by Qatar National Research Fund; the Ministry of Science and Higher Education, projects no. 14.W03.31.0026 and no. FSWW-2020-0008, and the Russian Foundation for Basic Research, project No.19-42-703014 (Russia); the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the Stavros Niarchos Foundation (Greece); the Rachadapisek Sompot Fund for Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn Academic into Its 2nd Century Project Advancement Project (Thailand); the Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).

Data Availability

This manuscript has no associated data or the data will not be deposited. [Authors’ comment: For CMS Release and preservation of data used by the CMS Collaboration as the basis for publications is guided by the CMS policy as stated in “CMS data preservation, re-use and open access policy” (https://cms-docdb.cern.ch/cgi-bin/PublicDocDB/RetrieveFile?docid=6032&filename=CMSDataPolicyV1.2.pdf&version=2).]

Declarations

Conflict of interest

The authors declare that they have no conflict of interest.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

This manuscript has no associated data or the data will not be deposited. [Authors’ comment: For CMS Release and preservation of data used by the CMS Collaboration as the basis for publications is guided by the CMS policy as stated in “CMS data preservation, re-use and open access policy” (https://cms-docdb.cern.ch/cgi-bin/PublicDocDB/RetrieveFile?docid=6032&filename=CMSDataPolicyV1.2.pdf&version=2).]


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