CMS-PAS-B2G-23-008 | ||
Search for a heavy resonance decaying into ZH in events with an energetic jet and two electrons, two muons, or missing transverse momentum | ||
CMS Collaboration | ||
26 March 2024 | ||
Abstract: A search is presented for a heavy resonance decaying into a Z boson and a Higgs (H) boson. The analysis uses data from proton-proton collisions at a centre-of-mass energy of 13 TeV corresponding to 138 fb−1 of integrated luminosity, recorded with the CMS experiment in the years 2016 to 2018. Resonance masses between 1.4 and 5 TeV are considered, resulting in large transverse momenta of the Z and H bosons. The search targets the Z boson decay into two electrons, two muons, or two neutrinos. The H boson is reconstructed with a single large-radius jet, recoiling against the Z boson. The search is designed for the hadronic H boson decay modes H→cˉc and H→VV∗→ 4 quarks, where V denotes a W or Z boson. It achieves complementary sensitivity to previous searches targeting the H→bˉb decays for high resonance masses. | ||
Links:
CDS record (PDF) ;
Physics Briefing ;
CADI line (restricted) ;
These preliminary results are superseded in this paper, Submitted to JHEP. The superseded preliminary plots can be found here. |
Figures | |
![]() png pdf |
Figure 1:
Distributions in mrecZ′ for the dimuon (upper left), dielectron (upper right), and in mTZ′ for the neutrino (lower) channels after the kinematic selections. The data are compared to simulation. The ratios to the total SM background are shown in the lower panels, where the statistical and total uncertainties are displayed as grey regions. The signal distributions are shown for an arbitrary cross section of 1 pb. |
![]() png pdf |
Figure 1-a:
Distributions in mrecZ′ for the dimuon (upper left), dielectron (upper right), and in mTZ′ for the neutrino (lower) channels after the kinematic selections. The data are compared to simulation. The ratios to the total SM background are shown in the lower panels, where the statistical and total uncertainties are displayed as grey regions. The signal distributions are shown for an arbitrary cross section of 1 pb. |
![]() png pdf |
Figure 1-b:
Distributions in mrecZ′ for the dimuon (upper left), dielectron (upper right), and in mTZ′ for the neutrino (lower) channels after the kinematic selections. The data are compared to simulation. The ratios to the total SM background are shown in the lower panels, where the statistical and total uncertainties are displayed as grey regions. The signal distributions are shown for an arbitrary cross section of 1 pb. |
![]() png pdf |
Figure 1-c:
Distributions in mrecZ′ for the dimuon (upper left), dielectron (upper right), and in mTZ′ for the neutrino (lower) channels after the kinematic selections. The data are compared to simulation. The ratios to the total SM background are shown in the lower panels, where the statistical and total uncertainties are displayed as grey regions. The signal distributions are shown for an arbitrary cross section of 1 pb. |
![]() png pdf |
Figure 2:
The product of signal acceptance and efficiency for signal events as a function of mZ′ for the charged lepton and neutrino channels in the SR. The efficiency is calculated with respect to Z boson decays to neutrinos and to charged leptons for the neutrino and charged lepton channels, respectively. For comparison, the results from the ≤1b category of the previous CMS search in the ZH channel [16] are shown as dashed lines. |
![]() png pdf |
Figure 3:
Fits of the background functions to the mZ′ and mTZ′ distributions in data in the VRs (left) and simulation in the SRs (right) for the muon (upper), electron (middle), and neutrino (lower) channels. Each bin is divided by the bin width. The fit range excludes the kinematic turn-on, created by the selection criteria. |
![]() png pdf |
Figure 3-a:
Fits of the background functions to the mZ′ and mTZ′ distributions in data in the VRs (left) and simulation in the SRs (right) for the muon (upper), electron (middle), and neutrino (lower) channels. Each bin is divided by the bin width. The fit range excludes the kinematic turn-on, created by the selection criteria. |
![]() png pdf |
Figure 3-b:
Fits of the background functions to the mZ′ and mTZ′ distributions in data in the VRs (left) and simulation in the SRs (right) for the muon (upper), electron (middle), and neutrino (lower) channels. Each bin is divided by the bin width. The fit range excludes the kinematic turn-on, created by the selection criteria. |
![]() png pdf |
Figure 3-c:
Fits of the background functions to the mZ′ and mTZ′ distributions in data in the VRs (left) and simulation in the SRs (right) for the muon (upper), electron (middle), and neutrino (lower) channels. Each bin is divided by the bin width. The fit range excludes the kinematic turn-on, created by the selection criteria. |
![]() png pdf |
Figure 3-d:
Fits of the background functions to the mZ′ and mTZ′ distributions in data in the VRs (left) and simulation in the SRs (right) for the muon (upper), electron (middle), and neutrino (lower) channels. Each bin is divided by the bin width. The fit range excludes the kinematic turn-on, created by the selection criteria. |
![]() png pdf |
Figure 3-e:
Fits of the background functions to the mZ′ and mTZ′ distributions in data in the VRs (left) and simulation in the SRs (right) for the muon (upper), electron (middle), and neutrino (lower) channels. Each bin is divided by the bin width. The fit range excludes the kinematic turn-on, created by the selection criteria. |
![]() png pdf |
Figure 3-f:
Fits of the background functions to the mZ′ and mTZ′ distributions in data in the VRs (left) and simulation in the SRs (right) for the muon (upper), electron (middle), and neutrino (lower) channels. Each bin is divided by the bin width. The fit range excludes the kinematic turn-on, created by the selection criteria. |
![]() png pdf |
Figure 4:
Distributions in mrecZ′ and mTZ′ for data in the SRs, together with fits of the background functions under the background-only hypothesis for the muon (upper left), electron (upper right), and neutrino (lower) channels. The number of observed events in each bin is divided by the bin width. The signal predictions are shown for different Z′ masses. |
![]() png pdf |
Figure 4-a:
Distributions in mrecZ′ and mTZ′ for data in the SRs, together with fits of the background functions under the background-only hypothesis for the muon (upper left), electron (upper right), and neutrino (lower) channels. The number of observed events in each bin is divided by the bin width. The signal predictions are shown for different Z′ masses. |
![]() png pdf |
Figure 4-b:
Distributions in mrecZ′ and mTZ′ for data in the SRs, together with fits of the background functions under the background-only hypothesis for the muon (upper left), electron (upper right), and neutrino (lower) channels. The number of observed events in each bin is divided by the bin width. The signal predictions are shown for different Z′ masses. |
![]() png pdf |
Figure 4-c:
Distributions in mrecZ′ and mTZ′ for data in the SRs, together with fits of the background functions under the background-only hypothesis for the muon (upper left), electron (upper right), and neutrino (lower) channels. The number of observed events in each bin is divided by the bin width. The signal predictions are shown for different Z′ masses. |
![]() png pdf |
Figure 5:
Expected and observed upper limits at 95% CL on the product of the production cross section σ(pp→Z′) and the branching fraction B(Z′→ZH) as a function of the Z′ mass. Expected limits obtained from the three different final states are compared to the combined result (left). The expected and observed limits from the combination of all final states are compared to predictions from the HVT and limits from a previous analysis [16] (right). |
![]() png pdf |
Figure 5-a:
Expected and observed upper limits at 95% CL on the product of the production cross section σ(pp→Z′) and the branching fraction B(Z′→ZH) as a function of the Z′ mass. Expected limits obtained from the three different final states are compared to the combined result (left). The expected and observed limits from the combination of all final states are compared to predictions from the HVT and limits from a previous analysis [16] (right). |
![]() png pdf |
Figure 5-b:
Expected and observed upper limits at 95% CL on the product of the production cross section σ(pp→Z′) and the branching fraction B(Z′→ZH) as a function of the Z′ mass. Expected limits obtained from the three different final states are compared to the combined result (left). The expected and observed limits from the combination of all final states are compared to predictions from the HVT and limits from a previous analysis [16] (right). |
![]() png pdf |
Figure 6:
Observed upper limits at 95% CL on gF for different Z′ masses as a function of the product of gH with the sign of gF. The two benckmark scenarios of the HVT model are shown by the black markers. |
Tables | |
![]() png pdf |
Table 1:
Sources of systematic uncertainties considered in this analysis, and their effect on the signal normalisation. The uncertainty ranges correspond to different signal masses. |
Summary |
A search has been presented for the resonant production of a spin-1 particle with mass in the range of 1.4-5 TeV and the decay into a Z and a Higgs (H) boson. The analysis is performed using data recorded with the CMS detector at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 138 fb−1. The final states explored include the Z boson decays into a pair of electrons, muons or neutrinos, and the hadronic decays of the H boson reconstructed as a single large-radius jet. A novel approach analysing the flavour content and substructure of the H boson jet was deployed to improve the sensitivity for high resonance masses. This analysis shows for the first time the benefit of including H boson decays into c¯c and VV∗→4 quarks, where V denotes a W or Z boson, besides the commonly used H→b¯b decays in searches for new physics. Exclusion limits at 95% confidence level are set on both the mass of a heavy resonance and the couplings to fermions and bosons in the HVT model. Resonances with masses below 3 TeV are excluded. |
References | ||||
1 | S. Rappoccio | The experimental status of direct searches for exotic physics beyond the standard model at the Large Hadron Collider | Rev. Phys. 4 (2019) 100027 | 1810.10579 |
2 | D. Pappadopulo, A. Thamm, R. Torre, and A. Wulzer | Heavy vector triplets: Bridging theory and data | JHEP 09 (2014) 060 | 1402.4431 |
3 | V. D. Barger, W. Keung, and E. Ma | A gauge model with light W and Z bosons | PRD 22 (1980) 727 | 0801.1345 |
4 | G. Altarelli, B. Mele, and M. Ruiz-Altaba | Searching for new heavy vector bosons in p¯p colliders | Z. Phys. C 45 (1989) 109 | |
5 | E. Salvioni, G. Villadoro, and F. Zwirner | Minimal Z′ models: Present bounds and early LHC reach | JHEP 11 (2009) 068 | 0909.1320 |
6 | C. Grojean, E. Salvioni, and R. Torre | A weakly constrained W′ at the early LHC | JHEP 07 (2011) 002 | 1103.2761 |
7 | M. Schmaltz and D. Tucker-Smith | Little Higgs review | Ann. Rev. Nucl. Part. Sci. 55 (2005) 229 | hep-ph/0502182 |
8 | N. Arkani-Hamed, A. G. Cohen, E. Katz, and A. E. Nelson | The littlest Higgs | JHEP 07 (2002) 034 | hep-ph/0206021 |
9 | R. Contino, D. Marzocca, D. Pappadopulo, and R. Rattazzi | On the effect of resonances in composite Higgs phenomenology | JHEP 10 (2011) 081 | 1109.1570 |
10 | D. Marzocca, M. Serone, and J. Shu | General composite Higgs models | JHEP 08 (2012) 013 | 1205.0770 |
11 | B. Bellazzini, C. Csàki, and J. Serra | Composite Higgses | EPJC 74 (2014) 2766 | 1401.2457 |
12 | D. Greco and D. Liu | Hunting composite vector resonances at the LHC: Naturalness facing data | JHEP 12 (2014) 126 | 1410.2883 |
13 | K. Lane and L. Pritchett | The light composite Higgs boson in strong extended technicolor | JHEP 06 (2017) 140 | 1604.07085 |
14 | CMS Collaboration | Search for heavy resonances decaying into a vector boson and a Higgs boson in final states with charged leptons, neutrinos and b quarks at √s= 13 TeV | JHEP 11 (2018) 172 | 1807.02826 |
15 | CMS Collaboration | Search for heavy resonances decaying to ZZ or ZW and axion-like particles mediating nonresonant ZZ or ZH production at √s= 13 TeV | JHEP 04 (2022) 087 | 2111.13669 |
16 | CMS Collaboration | Search for a heavy vector resonance decaying to a Z boson and a higgs boson in proton--proton collisions at √s= 13 TeV | EPJC 81 (2021) 688 | 2102.08198 |
17 | CMS Collaboration | Search for heavy resonances decaying to WW, WZ, or WH boson pairs in the lepton plus merged jet final state in proton-proton collisions at √s= 13 TeV | PRD 105 (2022) 032008 | 2109.06055 |
18 | CMS Collaboration | Search for heavy resonances decaying to Z(ν¯ν)V(q¯q′) in proton--proton collisions at √s= 13 TeV | PRD 106 (2022) 012004 | 2109.08268 |
19 | ATLAS Collaboration | Search for heavy diboson resonances in semileptonic final states in pp collisions at √s= 13 TeV with the ATLAS detector | EPJC 80 (2020) 1165 | 2004.14636 |
20 | ATLAS Collaboration | Search for heavy resonances decaying into a Z or W boson and a Higgs boson in final states with leptons and b-jets in 139 fb−1 of pp collisions at √s= 13 TeV with the ATLAS detector | JHEP 06 (2023) 016 | 2207.00230 |
21 | ATLAS Collaboration | Search for resonances decaying into a weak vector boson and a Higgs boson in the fully hadronic final state produced in proton--proton collisions at √s= 13 TeV with the ATLAS detector | PRD 102 (2020) 112008 | 2007.05293 |
22 | CMS Collaboration | Search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson pairs in the all-jets final state in proton--proton collisions at √s= 13 TeV | PLB 844 (2023) 137813 | 2210.00043 |
23 | CMS Collaboration | The CMS experiment at the CERN LHC | JINST 3 (2008) S08004 | |
24 | CMS Collaboration | Development of the CMS detector for the CERN LHC Run 3 | CMS-PRF-21-001 2309.05466 |
|
25 | CMS Collaboration | The CMS trigger system | JINST 12 (2017) P01020 | CMS-TRG-12-001 1609.02366 |
26 | CMS Collaboration | Performance of the CMS Level-1 trigger in proton--proton collisions at √s= 13 TeV | JINST 15 (2020) P10017 | CMS-TRG-17-001 2006.10165 |
27 | CMS Collaboration | Particle-flow reconstruction and global event description with the CMS detector | JINST 12 (2017) P10003 | CMS-PRF-14-001 1706.04965 |
28 | CMS Collaboration | Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC | JINST 16 (2021) P05014 | CMS-EGM-17-001 2012.06888 |
29 | CMS Collaboration | Performance of the CMS muon detector and muon reconstruction with proton--proton collisions at √s= 13 TeV | JINST 13 (2018) P06015 | CMS-MUO-16-001 1804.04528 |
30 | CMS Collaboration | Pileup mitigation at CMS in 13 TeV data | JINST 15 (2020) P09018 | CMS-JME-18-001 2003.00503 |
31 | D. Bertolini, P. Harris, M. Low, and N. Tran | Pileup per particle identification | JHEP 10 (2014) 059 | 1407.6013 |
32 | M. Cacciari, G. P. Salam, and G. Soyez | FastJet user manual | EPJC 72 (2012) 1896 | 1111.6097 |
33 | M. Cacciari, G. P. Salam, and G. Soyez | The anti-kT jet clustering algorithm | JHEP 04 (2008) 063 | 0802.1189 |
34 | A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler | Soft drop | JHEP 05 (2014) 146 | 1402.2657 |
35 | M. Dasgupta, A. Fregoso, S. Marzani, and G. P. Salam | Towards an understanding of jet substructure | JHEP 09 (2013) 029 | 1307.0007 |
36 | Y. L. Dokshitzer, G. D. Leder, S. Moretti, and B. R. Webber | Better jet clustering algorithms | JHEP 08 (1997) 001 | hep-ph/9707323 |
37 | M. Wobisch and T. Wengler | Hadronization corrections to jet cross-sections in deep inelastic scattering | in Proceedings of the Workshop on Monte Carlo Generators for HERA Physics, Hamburg, Germany, 1998 link |
hep-ph/9907280 |
38 | CMS Collaboration | Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV | JINST 12 (2017) P02014 | CMS-JME-13-004 1607.03663 |
39 | CMS Collaboration | Performance of missing transverse momentum reconstruction in proton-proton collisions at √s= 13 TeV using the CMS detector | JINST 14 (2019) P07004 | CMS-JME-17-001 1903.06078 |
40 | J. Alwall et al. | Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions | EPJC 53 (2008) 473 | 0706.2569 |
41 | J. Alwall et al. | The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations | JHEP 07 (2014) 079 | 1405.0301 |
42 | T. Sjöstrand et al. | An introduction to PYTHIA 8.2 | Comput. Phys. Commun. 191 (2015) 159 | 1410.3012 |
43 | P. Nason | A new method for combining NLO QCD with shower Monte Carlo algorithms | JHEP 11 (2004) 040 | hep-ph/0409146 |
44 | S. Frixione, P. Nason, and C. Oleari | Matching NLO QCD computations with parton shower simulations: The POWHEG method | JHEP 11 (2007) 070 | 0709.2092 |
45 | S. Frixione, P. Nason, and G. Ridolfi | A positive-weight next-to-leading-order Monte Carlo for heavy flavour hadroproduction | JHEP 09 (2007) 126 | 0707.3088 |
46 | S. Alioli, P. Nason, C. Oleari, and E. Re | A general framework for implementing NLO calculations in shower Monte Carlo programs: The POWHEG BOX | JHEP 06 (2010) 043 | 1002.2581 |
47 | E. Re | Single-top Wt-channel production matched with parton showers using the POWHEG method | EPJC 71 (2011) 1547 | 1009.2450 |
48 | M. Czakon and A. Mitov | Top++: A program for the calculation of the top-pair cross-section at hadron colliders | Comput. Phys. Commun. 185 (2014) 2930 | 1112.5675 |
49 | CMS Collaboration | Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements | EPJC 80 (2020) 4 | CMS-GEN-17-001 1903.12179 |
50 | NNPDF Collaboration | Parton distributions from high-precision collider data | EPJC 77 (2017) 663 | 1706.00428 |
51 | GEANT4 Collaboration | GEANT4---a simulation toolkit | NIM A 506 (2003) 250 | |
52 | CMS Collaboration | Measurement of the inelastic proton-proton cross section at √s= 13 TeV | JHEP 07 (2018) 161 | CMS-FSQ-15-005 1802.02613 |
53 | A. J. Larkoski, I. Moult, and B. Nachman | Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning | Phys. Rept. 841 (2020) 1 | 1709.04464 |
54 | R. Kogler, B. Nachman, A. Schmidt (editors) et al. | Jet substructure at the Large Hadron Collider | Rev. Mod. Phys. 91 (2019) 045003 | 1803.06991 |
55 | R. Kogler | Advances in jet substructure at the LHC: Algorithms, measurements and searches for new physical phenomena | volume 284 of Springer Tracts Mod. Phys. Springer, ISBN~978-3-030-72857-1, 978-3-030-72858-8, 2021 link |
|
56 | CMS Collaboration | Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV | JINST 13 (2018) P05011 | CMS-BTV-16-002 1712.07158 |
57 | H. Qu and L. Gouskos | ParticleNet: Jet tagging via particle clouds | PRD 101 (2020) 056019 | 1902.08570 |
58 | A. M. Mood, F. A. Graybill, and D. C. Boes | Introduction to the theory of statistics | McGraw-Hill, 1973 | |
59 | M. Oreglia | A Study of the Reactions ψ′→γγψ | PhD thesis, SLAC, 1980 | |
60 | T. Skwarnicki | A study of the radiative CASCADE transitions between the Upsilon-Prime and Upsilon resonances | PhD thesis, Cracow, INP and DESY, 1986 | |
61 | CMS Collaboration | Precision luminosity measurement in proton--proton collisions at √s=13 TeV in 2015 and 2016 at CMS | EPJC 81 (2021) 800 | CMS-LUM-17-003 2104.01927 |
62 | CMS Collaboration | CMS luminosity measurement for the 2017 data-taking period at √s= 13 TeV | CMS Physics Analysis Summary, 2018 CMS-PAS-LUM-17-004 |
CMS-PAS-LUM-17-004 |
63 | CMS Collaboration | CMS luminosity measurement for the 2018 data-taking period at √s= 13 TeV | CMS Physics Analysis Summary, 2019 CMS-PAS-LUM-18-002 |
CMS-PAS-LUM-18-002 |
64 | J. Butterworth et al. | PDF4LHC recommendations for LHC Run II | JPG 43 (2016) 023001 | 1510.03865 |
65 | ATLAS and CMS Collaborations, and LHC Higgs Combination Group | Procedure for the LHC Higgs boson search combination in Summer 2011 | CMS Note CMS-NOTE-2011-005, ATL-PHYS-PUB-2011-11, 2011 | |
66 | A. L. Read | Presentation of search results: The CLs technique | JPG 28 (2002) 2693 | |
67 | T. Junk | Confidence level computation for combining searches with small statistics | NIM A 434 (1999) 435 | hep-ex/9902006 |
![]() |
Compact Muon Solenoid LHC, CERN |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |