Article Content
Abstract
1. Introduction
2. ALPs effective Lagrangian
3. ALP production in association with electroweak gauge bosons
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Fig. 1. Representative Feynman diagrams contributing to the associated production of an ALP with two electroweak gauge bosons, WW or ZZ, at the leading order at a proton-proton collider.
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Fig. 2. Leading-order cross sections of the processes pp → WWa (left) and pp → ZZa (right) as a function of cWW assuming TeV, ma = 1 MeV and two non-zero Wilson coefficients at a time.
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Fig. 3. Leading-order production cross section of the pp → ZZa as a function of cWW and cBB assuming cGG = 0.5 TeV−1 and ma = 1 MeV.
4. Analysis
4.1. Event generation
4.2. Validity of the ALP effective Lagrangian
To ensure the validity of the effective Lagrangian, the mass scale of new physics, , should be significantly larger than the typical energy scale, , of the process under study. The strict requirement for the validity of the effective description is, therefore, to satisfy the condition . However, cannot be experimentally measured due to the presence of invisible ALPs in the final state. One may use the correlation between and the missing transverse energy, obtained using the Monte Carlo simulated events, to naively ensure validity of the EFT by requiring

, where

is the highest missing transverse energy data bin in the analysis. In this work, the strict EFT validity condition is imposed by discarding events that do not satisfy the condition

.
4.3. Object identification and event selection
To analyze the WWa signal in the fully leptonic final state, events are required to have exactly two isolated oppositely-charged leptons (electron or muon) and no jet. The flavors of the leptons can be the same or different. For the ZZa analysis, both the fully leptonic and semi-leptonic final states are studied. Two signal regions corresponding to these final states are defined as follows. SR1 is defined by the requirement that events should have exactly two pairs of isolated oppositely-charged same-flavor leptons (electron or muon) and no jet. This includes events with the final states , and . SR2 is defined by requiring exactly one pair of isolated oppositely-charged same-flavor leptons (ee or μμ) and at least two jets. The missing transverse energy,

, which shows the energy imbalance in the transverse plane is required to be larger than 30 GeV for all events for the ZZa SR2 and aWW analyses. In the analysis, jets from all parton flavors are considered, with no flavor-based selection, and jets found within a cone of around any selected lepton are removed to avoid overlap. In SR1, lepton pairs are required to have invariant masses consistent with the Z boson mass window. Fake leptons and jet misidentification effects are not included in the fast detector simulation via Delphes and are therefore beyond the scope of this study.
Table 1. Event selection efficiencies after applying all selection cuts obtained for the signal (ZZa, WWa) and different background processes. Two efficiencies are presented for each signal process. For the signal processes the couplings values are cWW = 0.1, cGG = 0.1.
| ZZa (SR1) | ZZ | ttZ | WWZ | ttH | WWWW | tttt |
|---|---|---|---|---|---|---|
| 0.071 | 0.0024 | 0.00043 | 0.00047 | 1.5e-6 | 0.0035 | 0.0013 |
| ZZa (SR2) | tW | WW | WZ | ZZ | ttZ | WWZ | ttH | |
|---|---|---|---|---|---|---|---|---|
| 0.396 | 0.034 | 0.024 | 0.0022 | 0.013 | 0.015 | 0.082 | 0.043 | 0.0028 |
| WWa | tW | WW | WZ | ZZ | ttZ | WWZ | ttH | |
|---|---|---|---|---|---|---|---|---|
| 0.478 | 0.199 | 0.235 | 0.128 | 0.00091 | 0.0017 | 0.096 | 0.113 | 0.013 |
4.4. Signal-background discrimination
Signal events with non-zero and are analyzed independently for the ZZa (SR1 and SR2) and WWa processes resulting in exclusion limits in the – plane, respectively. Different variables are defined and used to discriminate between the selected events in the signal and background samples. To obtain the best signal-background discrimination, a multivariate technique using the TMVA (Toolkit for Multivariate Data Analysis) package [72], [73], [74] is deployed. The discrimination power of all the multivariate classification algorithms available in the TMVA package is compared using the receiver operating characteristic (ROC) curve to find the algorithm with the highest discrimination power. The Boosted Decision Trees (BDT) algorithm [75] was found to be the most powerful algorithm for both the ZZa and WWa analyses and is thus used in this study. The distributions obtained for the discriminating variables are passed to the BDT algorithm, and the BDT performs the training process considering all background processes according to their respective weights. The TMVA overtraining check is performed to ensure overtraining does not occur. Kolmogorov-Smirnov (K-S) test is also performed to ensure the consistency of the BDT responses obtained for the training and test samples. The discriminating variables defined to be used for the SR1 signal region in the ZZa analysis are:
- •
Missing transverse energy,

.
- •
Invariant mass of the four reconstructed charged leptons, .
- •
Magnitude of the sum of transverse momentum vectors of the four reconstructed charged leptons, .
- •
Azimuthal separation between the two reconstructed Z bosons, . Each Z boson is reconstructed using a pair of oppositely-charged same-flavor charged leptons. If two lepton pairs of the same flavor exist, i.e. and , the pair of oppositely-charged leptons with minimum (with being the Z boson mass) is used to reconstruct the first Z boson (Z1), and the remaining pair is used to reconstruct the second Z boson (Z2).
Distributions obtained from the selected events for the above variables are shown in Fig. 4. According to the BDT output,

, and are the best variables in terms of the discrimination power for the ZZa SR1 analysis. The discriminating variables listed below are used for the WWa and ZZa SR2 analyses:
- •
Missing transverse energy,

.
- •
Invariant mass of the two reconstructed charged leptons, .
- •
Magnitude of the sum of transverse momentum vectors of the two reconstructed charged leptons, .
- •
Spatial separation, , with η and ϕ being the pseudorapidity and azimuth angle, between the two reconstructed charged leptons, .
- •
Number of reconstructed jets, .
Distributions obtained for these variables in the WWa analysis (for example) are shown in Fig. 5.
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Fig. 4. Distributions of the discriminating variables for the signal and background processes obtained for the SR1 signal region in the ZZa analysis. The signal and the total background distributions are normalized to unity.
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Fig. 5. Distributions of the discriminating variables for the signal and background processes obtained in the WWa analysis. The signal and the total background distributions are normalized to unity.
As discussed in section 3, the dominant fraction of ALPs produced at the collider decay outside the detector. The resulting missing energy signature plays an important role in separating the signal from background in both the WWa and ZZa analyses. The only source of missing energy in the SM background is the missing neutrinos which result in missing energies typically lower than that of the signal (see Figs. 4a, 5a). The magnitude of the sum of transverse momentum vectors of the reconstructed leptons, i.e. and , are also powerful variables as the final state ALP in the ZZa and WWa processes prevents the produced W and Z bosons from being emitted in a back-to-back configuration (unlike the case of ZZ and WW production) resulting in relatively large momenta sum values. Furthermore, the dominance of the s-channel diagrams contribution to the signal cross section results in W and Z bosons mostly emitted near the transverse plane leading to high transverse momenta sums. As a result, the ZZ and WW production processes, which are respectively the dominant backgrounds for the ZZa and WWa signals, are significantly suppressed by the momenta sum variables (see Figs. 4b, 5b). As seen in Fig. 5e, the number of jets, , is particularly useful for suppressing backgrounds with high jet multiplicities like ttZ, WWZ, ttH and tt. According to the BDT output, , and

(

, and ) are the most powerful variables for the ZZa SR2 (WWa) analysis to discriminate the signal from background.
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Fig. 6. Distributions of the BDT response obtained for the signal and background processes corresponding to the ALP mass of 1 MeV and TeV for a) ZZa SR1, b) ZZa SR2 and c) WWa analyses. For each analysis, distributions are presented for the case of non-zero cGG and cWW.
5. Expected limits and comparison with existing bounds
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Fig. 7. Expected 95% CL limits in the cWW–cGG plane corresponding to ma = 1 MeV obtained in the ZZa SR1, ZZa SR2 and WWa analyses assuming an overall uncertainty of 10% on the signal and background event selection efficiencies. The presented limits are based on the integrated luminosities of 138 fb−1 (full run II of the LHC data) and 3 ab−1.
6. Probe of the ALP couplings using the LHC measurements of W+jets and Z+jets
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Fig. 8. Representative leading order Feynman diagrams for production of an ALP in association with Z+jets (top) and W+jets (bottom) at the LHC.
6.1. Z+jets+ALP process
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Fig. 9. Left: The measured differential cross section as a function of the Z boson pT for Z+jets with the SM expectation and theoretical prediction of Z+jets+ALP where ALP escape detection and appears as missing transverse momentum. Right: Differential cross section measurement for the leading jet transverse momentum in the W±+jets process as well as the SM prediction. The black circular markers represent the unfolded data measurement and the ALP expectation is displayed as solid blue line. For both plots the ALP mass is taken as 1 MeV.
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Fig. 10. Observed 95% CL limits in the cWW–cGG plane corresponding to TeV and ma = 1 MeV obtained from the measurement of the CMS experiment on Z+jets and W+jets taken from Refs. [85], [86]. The projected bounds corresponding to Lint. = 3 ab−1 for the HL-LHC are displayed in dashed curves as well.
6.2. jets+ALP process
7. Summary and conclusions
Declaration of Competing Interest
Acknowledgements
Data availability
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Cited by (0)
- 1
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https://github.com/delphes/delphes/blob/master/cards/delphes_card_CMS.tcl.
- 2
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https://feynrules.irmp.ucl.ac.be/attachment/wiki/ALPsEFT/ALP_linear_UFO.tar.gz.