Search for supersymmetry in final states with two or three soft leptons and missing transverse momentum in proton-proton collisions at s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \sqrt{s} $$\end{document} = 13 TeV

A search for supersymmetry in events with two or three low-momentum leptons and missing transverse momentum is performed. The search uses proton-proton collisions at s\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \sqrt{s} $$\end{document} = 13 TeV collected in the three-year period 2016–2018 by the CMS experiment at the LHC and corresponding to an integrated luminosity of up to 137 fb−1. The data are found to be in agreement with expectations from standard model processes. The results are interpreted in terms of electroweakino and top squark pair production with a small mass difference between the produced supersymmetric particles and the lightest neutralino. For the electroweakino interpretation, two simplified models are used, a wino-bino model and a higgsino model. Exclusion limits at 95% confidence level are set on χ~20/χ~1±\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ {\overset{\sim }{\upchi}}_2^0/{\overset{\sim }{\upchi}}_1^{\pm } $$\end{document} masses up to 275 GeV for a mass difference of 10 GeV in the wino-bino case, and up to 205(150) GeV for a mass difference of 7.5 (3) GeV in the higgsino case. The results for the higgsino are further interpreted using a phenomenological minimal supersymmetric standard model, excluding the higgsino mass parameter μ up to 180 GeV with the bino mass parameter M1 at 800 GeV. In the top squark interpretation, exclusion limits are set at top squark masses up to 540 GeV for four-body top squark decays and up to 480 GeV for chargino-mediated decays with a mass difference of 30 GeV.

Despite numerous searches for new particles, no experimental evidence for their production in LHC collisions has been found, and strong experimental constraints on the masses of SUSY particles have been set. As a result, the relevance of SUSY at the electroweak scale has come under intense scrutiny and several possibilities of how electroweak-scale SUSY might have escaped detection are being considered. Compressed mass spectra offer a possible scenario in which low-energy SUSY might have eluded experiments thus far, if the new particles exist in a region of SUSY parameter space where experimental searches have lower sensitivity.
In compressed spectra scenarios, most of the energy and momentum of higher-mass states is carried away in the rest energy of the LSPs and the remaining detectable SM particles have low momentum. Events with such characteristics can be distinguished from bulk SM processes by requiring a jet with large transverse momentum (p T ) from initial state radiation (ISR) that leads to a large boost of the SUSY particle pair and thus large p miss T . Final states with only soft jets and moderate p miss T do not exhibit high sensitivity to new physics because of the presence of huge backgrounds from quantum chromodynamics (QCD) multijet production and Z+jets events with invisible Z boson decays. In the latter case, the SM background can be reduced effectively with the additional requirement of two or three soft light leptons (electrons or muons).
These soft leptons, along with moderate or large p miss T , constitute the signature of the search presented in this paper. Specifically, the production of charginos ( χ ± 1 ) and neutralinos ( χ 0 1 ) with nearly degenerate mass, decaying to soft leptons and p miss T is considered. In what follows, neutralinos and charginos are collectively referred to as electroweakinos.
The results are interpreted in the context of R-parity conserving SUSY. A simplified wino-bino model is probed. In such scenarios the LSP can be a WIMP DM candidate that was depleted in the early universe through co-annihilation processes to match the observed DM density [16,17]. Light higgsinos, which are favored by naturalness arguments, are likely to be nearly degenerate in mass [18][19][20][21]. Two minimal SUSY SM (MSSM) hypotheses, where the lightest electroweakinos are higgsino-like, are tested: a simplified higgsino model and a phenomenological MSSM higgsino model based on the pMSSM [22]. The search is also sensitive to top squark pair production models where a light top squark and the LSP are nearly degenerate in mass and the top squark decays directly to four fermions. The near-degeneracy in mass of the top squark and the LSP is a typical example of the so-called co-annihilation region, in which the LSP is the sole source of DM [23].

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Results of searches in final states with soft leptons and missing transverse momentum were previously presented by ATLAS and CMS using data sets at center of mass energy . The previous iteration of this CMS analysis targeted signal events with moderate or large p miss T , by requiring an ISR jet and a pair of soft oppositely charged (opposite sign (OS)) leptons. The analysis presented in this paper extends the previous search with the addition of soft trilepton final states, as well as a relaxed selection on the dilepton invariant mass (from 4 to 1 GeV) and reoptimized signal regions, yielding extended sensitivity towards lower values of the χ 0 2χ 0 1 mass difference (∆m), where χ 0 2 is the next to lightest neutralino. The analysis also employs improved methods for the estimation of the nonprompt lepton background and uses the CMS data set collected during 2016-2018, corresponding to an integrated luminosity of up to 137 fb −1 . The final results are extracted from a simultaneous binned maximum likelihood fit to the data of the signal and background expectations from all the signal and control regions. The experimental and theoretical uncertainties affecting the background and signal estimations are incorporated as nuisance parameters. The results of this analysis are included in tabulated form in the HEPData record [29].
The paper is organized as follows: section 2 summarizes the general features of the CMS detector, while section 3 describes the data set and simulation samples used in this search. After defining the physics objects in section 4, the event selection and the signal regions of the search are described in section 5. The background estimation and the systematic uncertainties are discussed in sections 6 and 7, respectively. The results of the search are presented in section 8 and their interpretations in the relevant SUSY scenarios in section 9. The summary of the paper is given in section 10.
The five signal models considered in this analysis include the production of electroweakinos and top squark pairs. Simplified models [49][50][51] are used in which all SUSY particles other than the electroweakinos (or the top squarks) under study are assumed to be too massive to affect the analysis observables. Such models target scenarios with a bino LSP and wino next-to-LSP (NLSP), a higgsino LSP, and top squarks decaying to electroweakino LSPs. In all of the simplified models in this search, the assumption of 100% branching fractions to a single, representative decay is made. A pMSSM-inspired model is also considered and is described below. Figure 1 shows representative diagrams for simplified models of electroweakino and top squark pair production.
In the wino-bino simplified model (denoted as TChiWZ), the neutralino-chargino ( χ 0 2χ ± 1 ) pair production process is studied assuming a pure wino production cross section, where the χ 0 2 and χ ± 1 are assumed to be mass degenerate and taken to decay to the LSP via virtual Z and W bosons. For the higgsino simplified model, production through both ) is assumed. In each case, the production cross sections are computed at NLO plus next-to-leading logarithmic (NLL) precision [52][53][54] and correspond to the cases of pure wino and pure higgsino states, respectively. Mass differences between the χ 0 2 and χ 0 1 ranging from 1 to 50 GeV are considered in these simplified models of electroweakino production.
A model inspired by the pMSSM is used for further interpretations in the case of a higgsino LSP. For a higgsino LSP in the pMSSM, the physical mass eigenstates of the χ 0 1 , χ ± 1 , and χ 0 2 are determined primarily by the higgsino, bino, and wino mass parameters (µ, M 1 , and M 2 , respectively) through the neutralino and chargino mixing matrices. The residual dependence on the ratio of the two vacuum expectation values tan β of the Higgs fields is small when tan β is relatively large; here, tan β is fixed to 10. In this model, µ is scanned from 100 to 240 GeV and M 1 from 0.3 to 1.2 TeV with the electroweakino masses and branching fractions calculated from the prescribed pMSSM parameters. The choice of parameters in the scan translates to values for the χ 0 2χ 0 1 mass difference that range from 4 to 28 GeV. In the scan, trilinear couplings are removed and the gluino mass parameter M 3 is assumed to be sufficiently high to decouple from the observable -5 -

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phenomena. The unification-inspired relation M 1 = 0.5M 2 is further assumed, in order to reduce the parameter space to a two-dimensional scan. Cross sections are independently calculated for each model point in the pMSSM space using the prospino2 computational package [55]. The SUSY parameters are used to calculate the physical mass spectra and decay rates via additional computational tools [56][57][58][59][60].
Electroweakino decays are implemented using pythia, and are reweighted to incorporate further modeling improvements with respect to ref.
[25]: the dilepton mass spectrum is reproduced from the matrix element and depends on the sign of the product of the two smallest (in magnitude) eigenvalues of the diagonalized neutralino mass matrix [61], denoted as m . While this product is always negative for a higgsino LSP, both cases are possible in the simplified wino-bino model and each is separately considered, since it leads to slightly different invariant mass distributions for the final state leptons. The branching fractions of highly virtual W and Z bosons to leptons are corrected for massive decay products, as functions of the electroweakino mass splittings, using the susy-hit 1.5a computational package [59].
Finally, two simplified models are considered for top squark pair production. The first model, denoted by T2bff χ 0 1 and motivated by ref. [62], considers the scenario of a top squark NLSP that decays via an off-shell top quark undergoing the four-body process t → bf f χ 0 1 , where the f and f fermions are decay products of the virtual W. In the second model, denoted by T2bW, each top squark is taken to decay to a bottom quark and a chargino t → b χ ± 1 , with each χ ± 1 subsequently decaying to the LSP with a 100% branching fraction χ ± 1 → W χ 0 1 , in which the W boson is always off-shell. This decay dominates in naturalness-inspired models featuring light top squarks and higgsinos where only the chargino-mediated decay is not suppressed by an off-shell top quark. In this simplified model, m ) is assumed. For each scenario, a range of top squark and LSP masses are considered with a mass difference ranging from 10 to 80 GeV. Whereas the full detector simulation is used for the wino-bino and the higgsino simplified models, a fast detector simulation [63,64] is utilized for samples of simulated events for top squark pair production and the pMSSM higgsino model. Typically, in the investigated phase space, the fast detector simulation provides a percent-level agreement with the full detector simulation.
The trigger, lepton identification, and b tagging efficiencies, as well as the distribution of pileup interactions (PU) are corrected in the simulation with scale factors measured in dedicated data samples [65]. Corrections for the use of the fast detector simulation are also applied to the top squark pair production and the pMSSM higgsino signal samples.

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those jets. The PV must lie within 24 cm in the z axis direction and 2 cm in the transverse direction from the nominal interaction point. Vertices other than the PV are associated with either PU interactions or with the decay of particles with nonnegligible lifetime (e.g., bottom quarks). The PV is then used in association with the charged-hadron subtraction algorithm [69,70] to mitigate the effects of pileup in this analysis.
Events are reconstructed using the particle-flow (PF) algorithm [71], which significantly improves the event description, reconstructing and identifying final-state particles by combining information gathered from the entirety 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 PV, 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 tracks. The muon tracks are built by the combination of measurements in the tracker and muon chambers. The momentum of a muon is obtained from the curvature of the corresponding tracks. 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 electron momentum is estimated by combining the energy measurement in the ECAL with the momentum measurement in the tracker. It is generally better in the barrel region (|η| < 1.48) than in the endcaps (1.48 < |η| < 2.50), and also depends on the bremsstrahlung energy emitted by the electron as it traverses the material in front of the ECAL [72]. Muons are measured in the range |η| < 2.4. Matching muons to tracks measured in the silicon tracker results in a relative muon p T resolution of 1% in the barrel and 3% in the endcaps [73] for p T up to 100 GeV.
In the current analysis, which targets the compressed region of SUSY parameter space, the final-state leptons tend to be soft: the lower p T threshold of the electrons (muons) is set as low as 5.0 (3.5) GeV. Only soft leptons with p T up to 30 GeV are used in this analysis.
To identify electrons, a multivariate discriminant based on the energy distribution in the ECAL shower and track quality variables is used. Electrons must be built from tracks that have a hit at every pixel detector layer and are not associated to a conversion vertex. These requirements suppress backgrounds arising from misreconstruction or photon conversions. The identification criteria applied on the muons are based on the quality of the track in the muon system and/or the track in the tracker, and correspond to the loose and soft identification criteria of ref. [73].
Leptons must be isolated according to the absolute and relative isolation variables. The former counts the energy sum deposited by PF candidates in a cone of radius ∆R = 0.3 around the lepton, where ∆R = (∆η) 2 + (∆φ) 2 , and φ is the azimuthal angle measured in radians. The latter isolation variable is obtained by dividing the absolute isolation by the lepton candidate p T . The relative isolation criterion is chosen to be rather loose (less than 0.5) in order to ensure a high selection efficiency for soft leptons, while the added absolute isolation requirement is useful for candidates with higher p T . To mitigate the effect of PU, only charged PF candidates with tracks associated to the PV are considered in the computation of the isolation.

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Tight three-dimensional impact parameter requirements are imposed on the leptons [74] to ensure that they are prompt, meaning that they originate from the PV. Leptons are selected only if they satisfy IP 3D < 0.01 cm with a significance < 2, where IP 3D is the 3D distance of the lepton from the PV.
The lepton reconstruction, identification, and selection efficiencies depend on the lepton p T and are different for electrons and muons. For electrons, the efficiency increases with p T , starting from ∼30% at 5 GeV and increasing to ∼70% at 30 GeV. For muons, the p T dependence is less strong and the efficiency ranges from 70 to 85%.
Jets are reconstructed using the anti-k T algorithm [67] with a distance parameter R = 0.4. Tracks from charged particles not associated with the PV are removed from the clustering. Each jet is required to have p T ≥ 25 GeV and to be located within the tracker acceptance (|η| < 2.4). In what follows, the scalar sum of all selected jets is referred to as the transverse hadronic energy, H T . The energy of the jets is calibrated by correcting for PU effects, the detector response and residual differences between data and simulation [75]. The corrections are verified using data in dijet and Z/photon+jet events [76], exploiting the conservation of momentum in the transverse plane.
A jet tagged as originating from the hadronization of a bottom quark is referred to as b-tagged jet. The identification is achieved using the DeepCSV flavor tagging discriminant which combines secondary vertex and track-based information into a deep neural network [65]. The medium working point, which is used in this analysis, corresponds to an efficiency of about 68% for a mistagging rate for light flavor quark and gluon jets of approximately 1%.
The raw p miss T is defined as the magnitude of the negative vector p T sum of all PF candidates reconstructed in the event [77], corrected by propagating the jet calibration corrections presented above. In this analysis we apply a further correction to account for the presence of muons, with the goal of matching more closely the definition used in the trigger system. We define the resulting variable as p miss T . Anomalous high-p miss T events can be present due to a variety of reconstruction failures, detector malfunctions, or noncollision backgrounds. Such events are rejected by event filters that are designed to identify more than 85-90% of the spurious high-p miss T events with a mistagging rate of less than 0.1% [77].

Event selection
The analysis requires events with a distinct signature of two or three leptons with low p T , forming at least one OS pair and significant p miss   Each MET bin is further categorized by a specific discriminating variable. In the 2 -Ewk SRs, the dilepton invariant mass M ( ) of a pair of OS same flavor (SF) leptons, (M SFOS ( )), is used as it has an endpoint at the mass difference of χ 0 2χ 0 1 . In the 3 regions, the minimum of the invariant masses, (M min SFOS ( )), is used as the binning variable, since we expect our signal to have small mass differences.
The M ( ) binning used in the low-MET bin is [4,10,20,30,50] GeV, where the lowest boundary at 4 GeV is set due to the dimuon+p miss T trigger requirements described in section 3. Because of the requirements of this trigger, only µµ pairs are used in the low-MET bin. In the medium-, high-and ultra-MET bins, where the pure p miss T trigger is used, the lowest M ( ) boundary is relaxed to 1 GeV and the binning is [1,4,10,20,30,50] GeV. Dielectron pairs are also accepted in these bins.
In the 2 -Stop SR, the leptons are not bound to have same flavor (except for the low-MET bin, where again only µµ pairs are allowed due to the trigger requirements mentioned above) and their M ( ) spectrum has no sharp endpoint. The binning in this case is applied on the p T of the leading lepton, with boundaries [3.5, 8, 12, 16, 20, 25, 30] GeV. Table 2 summarizes the event selection criteria applied in the three SR groups, i.e. 2 -Ewk, 2 -Stop and 3 -Ewk, respectively. The selection requirements based on lepton quantities are shown in the upper part of table 2. Further requirements on the topology of the event are applied as listed in the lower part of table 2. The motivations for some of the requirements are presented below: • An Υ-meson veto and a J/ψ-meson veto are applied by rejecting events with M ( ) in the [9, 10.5] and [3, 3.2] GeV ranges respectively.
• H T > 100 GeV suppresses background events with low hadronic activity.
in the dilepton final state selection is found to suppress effectively QCD multijets events, while retaining signal events boosted by ISR.
• The requirement of "tight lepton veto" [78] identification criteria for the leading jet, which removes jets from calorimetric noise as well as jets from misreconstructed leptons, in combination with the sizable H T required, can only be realized by a

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jet coming from the initial state (ISR jet). This is because there is no photon or gluon final state radiation (FSR) from the LSP, which is neutral and not strongly interacting. Moreover, since the emitted SM particles and their subsequent decay products are off-shell and soft, due to the small ∆M of the signal, potential FSR from those particles or the jets from the hadronic decay of the W are going to have low p T , which is much lower than the H T required for the event selection. Finally, events with high multiplicity of soft jets that could potentially add up to 100 GeV of H T are very unlikely.
• Leptonic W boson decays in tt events can yield two prompt leptons and b-tagged jets in the final state. The tt background is suppressed by vetoing events with b-tagged jets with p T above 25 GeV. Events containing softer jets from the fragmentation and hadronization of a bottom quark are still retained, e.g., in the case of the top squark decay in T2bff χ 0 1 and T2bW models.
• The contamination from Drell-Yan (DY) events can be reduced significantly by applying a selection on the approximate invariant mass of the Z boson. Lorentz-boosted Z bosons that decay into two τ leptons, which further decay into two leptons and four neutrinos, can satisfy the event selection requirements. In such decays, the momentum direction of the final leptons is close to the original momentum direction of the Z boson. The momenta of the leptons are rescaled to balance the hadronic recoil of the Z boson, thus yielding an estimate of the transverse momenta of the two τ leptons. These are then used to estimate the invariant mass of the two τ leptons, M ττ [79]. The range 0 ≤ M ττ ≤ 160 GeV is vetoed, since it is found to contain most of the DY events and negligible contributions from signal events. Negative values of M ττ correspond to the cases when the momentum of either lepton flips direction during rescaling.
• The requirement on the transverse mass between each lepton and p miss T , m T ( i , p miss T ) (i = 1, 2), to be less than 70 GeV, has been found to be effective in reducing the tt background, the scale being set by the W boson mass. It is not applied in the 2 -Stop SRs in order to increase the stop signal acceptance.

Background estimation
The residual SM background present in the dilepton and trilepton SRs can be classified into four main categories. Two major backgrounds with prompt leptons arise from DY and tt production. A third background arises from diboson production: WW production for dileptons and WZ production for trileptons. A fourth background arises from nonprompt or misidentified leptons, mainly from W+jets events in the dilepton search and mainly from tt events in the trilepton search. Finally, rare SM processes lead to minor contributions in all SRs.
For each of the dominant prompt lepton SM backgrounds, a control region (CR) orthogonal to the SRs and enriched in the associated background process is defined. Each veto (3, 3.2) and (9, 10.5) Table 2. List of all criteria that events must satisfy to be selected in one of the SRs. The label "Low-MET" refers to the low-MET bin of the analysis, while the label "Higher-MET" refers collectively to the Med-, High-and Ultra-MET bins of the analysis.
CR is split into two MET bins according to raw p miss In particular, to verify and constrain the modeling of the dominant prompt-lepton backgrounds, two CRs with negligible signal contribution and with very high purity in the DY and tt dilepton processes, referred to as the DY and tt CRs, are used. Correspondingly, a CR designed to be enriched in trilepton WZ with nonnegligible signal contamination is referred to as the WZ-enriched region. Another CR, with moderate purity targeting dileptons from diboson processes, VV, is introduced and is referred to as the validation region (VR). The M ( ) distributions from the DY CR, tt CR, and WZ-enriched regions are included in the signal extraction procedure, which is based on a maximum likelihood fit to the data, while the VV VR is only used to assess an estimate of the corresponding background normalization uncertainty.
An additional dilepton CR comprising events with same sign (SS) leptons is used to constrain the background from nonprompt or misidentified leptons. This is described in detail in section 6.6. The SS CR is defined only for p miss At least one µ with p T > 20 GeV

SS(2 ) CR Same-sign requirement on lepton electric charge
No requirement on m T ( i , p miss T ) Table 3. Summary of changes in the selection criteria with respect to the SR for all the background control and validation regions.
trigger. The M ( ) distributions of this CR are included in the maximum likelihood fit to the data as well. Table 3 presents the selection criteria for the various background CRs that are modified with respect to those of the SR, described in table 2.
For each of the DY, tt, and WZ processes, and for each of the two MET bins, an unconstrained scale factor is included as a nuisance parameter in the maximum likelihood fit, to correct the normalization of the simulation yields of each process to match the data. The uncertainties on the predicted yields include the statistical and systematic components, as described in section 7.

WZ-enriched region
The decay of bosons in WZ events to three leptons is the dominant prompt background process for the 3 SRs (the WZ label shown in the plots corresponds to W and Z bosons both decaying leptonically while the other decay modes are included in the VV label, described in the next subsection). In order to assess the normalization of the SM WZ process to fully leptonic final states, a WZ-enriched region is employed, split in the same two MET bins as for the other CRs. In the low-MET bin of the WZ-enriched region, a pure dimuon trigger is used instead of the dimuon+p miss

VV validation region
Diboson production VV accounts for the mixture of WW, WZ (all decay modes, except the fully leptonic one), and ZZ events, where the processes are given in descending order with respect to their contribution in the dilepton search regions. The event selection of the VV VR is obtained by inverting the m T ( i , p miss T ) requirement, removing the upper bound on the lepton p T and requiring a high-p T (> 30 GeV) leading lepton to ensure orthogonality to the SRs. This region is less pure with respect to the CRs mentioned so far; it has a purity of 18% and 31% for the low-MET and high-MET selection, respectively. It is thus only used to check the pre-fit data and simulation agreement, which is found to be good. This VV-like region is not included in the maximum likelihood fit.

Rare SM processes
The previously mentioned SM processes leading to minor contributions in the SRs are collectively referred to as rare. These comprise the production of a W, Z or Higgs boson (H) in association with top quarks, such as tW, ttV, ttH, tZW, and triboson processes VVV. Due to their very small contribution in the SR, no dedicated CR is designed for the estimation of these processes and their yield is taken directly from simulation.

Nonprompt background
The background from nonprompt or misidentified leptons is evaluated with the "tight-toloose" method [80]. For the calculation of the nonprompt background in the SR two addi-

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tional regions need to be defined. The application region (AR) is selected by applying the SR requirements except the tight identification and isolation lepton requirement which is replaced by at least one lepton failing the tight identification and isolation criteria but passing a looser selection. Therefore, the AR is enriched in nonprompt leptons. The measurement region (MR) is a region enriched in events that contain strongly produced jets, referred to as QCD multijet events. The MR is defined by requiring one loose lepton, and a jet separated from the lepton by ∆R ≥ 0.7. The probability that a nonprompt lepton that passes the loose selection also satisfies the tight selection is called the fake rate and it is measured in MR data as a function of lepton p T and η. The probability of a prompt lepton to pass the tight identification and isolation requirement is called prompt rate and it is measured in simulation. The nonprompt background estimation in the SR is performed by weighting the AR events by a transfer factor (TF), which depends on the fake rate and the prompt rate.
The MR for muons is selected by prescaled single-muon triggers with no isolation requirement, while for electrons, a mixture of prescaled jet triggers is used. The jet selection requirements applied for the MR for muons is p T ≥ 50 GeV and for the electrons are p T ≥ 30(40) GeV in 2018 (2016 and 2017), according to the trigger requirements that evolved during data-taking.
In the data-driven tight-to-loose method, the fake rate is measured in QCD multijet data events of the MR and applied in W+jets and tt data events with loose leptons in the AR. Therefore, the jet flavor composition of the MR and the AR may differ and this can affect the prediction of the nonprompt background. The fake rate calculated in QCD multijet simulation was studied and found to be consistent across the different processes. The closure of the method is verified by applying the fake rate determined from QCD multijet data events to simulated W+jets and tt events containing at least one nonprompt lepton in the AR. The resulting estimated nonprompt background in the SR is compared with the observed simulated W+jets and tt events with at least one nonprompt lepton in the SR. The maximum nonclosure of the method is found to be 40% and this value is used as the systematic uncertainty in the normalization of the nonprompt background.
The TF are constructed with the prompt rate and the fake rate and they are applied on the AR events, in which at least one lepton fails the tight identification and isolation criteria. This yields the number of events with nonprompt leptons in the SR. This method is applied in MET bins with sizable numbers of events, e.g., the low-MET bins of the 2 -Ewk and Stop SRs. In MET bins with limited numbers of events, namely the medium-, high-and ultra-MET bins of the 2 -Ewk and Stop SR and the low-and high-MET bins of the 3 SR, the nonprompt-lepton background is estimated by applying the TF to the M ( ) shapes in the AR, as obtained by simulation and normalized to data. This latter approach maintains the robustness in the measurement of the misidentification probability by utilizing control samples in data and in the normalization of the misidentified-lepton background in the AR, while using the M ( ) shape in simulation to reduce statistical fluctuations.
To reduce the statistical uncertainty in the estimation of the nonprompt-lepton background in the 2 -Ewk medium-, high-and ultra-MET SRs, the M ( ) shape of the nonprompt-lepton simulation in the AR is merged into one inclusive MET bin. The simulated M ( ) shape of the nonprompt-lepton background is indeed found to be compatible  across different MET bins. A dedicated systematic uncertainty is applied to the nonpromptlepton background in the 2 -Ewk medium-, high-and ultra-MET bins, to account for the M ( ) shape extrapolation across the MET bins. The SS CR is used to further constrain the nonprompt-lepton background prediction uncertainty using data. This CR is obtained by requiring two leptons of the same sign instead of opposite sign when applying the 2 -Stop SR selection in the p miss T > 200 GeV region. The requirement of two SS leptons increases significantly the probability that at least one of the two is nonprompt, thus enriching the CR in nonprompt-lepton background. The M ( ) distribution of the SS CR, with the nonprompt-lepton background predicted with the tight-to-loose method, is included in the maximum likelihood fit. The post-fit M ( ) distribution of the SS CR is shown in figure 4. A scale factor of 1.06 is estimated between the pre-and post-fit normalizations of the tight-to-loose prediction.

Systematic uncertainties
Systematic uncertainties arise from experimental effects and from the modeling of the simulated processes. This section describes the sources of systematic uncertainties and quantifies their effect on the estimated background. The post-fit effect of each source of uncertainty is quoted.
All of the trigger, lepton selections, and b tagging efficiency corrections that are applied to simulated samples have uncertainties related to the methods used to estimate them from data; these uncertainties affect the final predictions with values that fall in the ranges 2--17 -

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9%, 2-9% and 1-4%, respectively. Additional experimental uncertainties arise from the jet energy scale and resolution corrections that account for any differences between data and simulation when measuring the jet energies. These uncertainties affect all simulated backgrounds and result in 1-10% uncertainty in the total background prediction. The uncertainties of the trigger efficiency and lepton selection are applied separately for each year, while the b tagging efficiency and the jet energy corrections are correlated across years and are treated accordingly.
Dedicated weights are applied to the simulated samples to correct the distribution of the true number of PV to the one measured in data. The number of interactions per bunch crossing is estimated from the total inelastic cross section, which has been measured with an uncertainty of 4.6% [81]. The PU uncertainty is estimated by propagating the total inelastic cross section uncertainty to the PU weights and using their variation as a shape uncertainty for all years combined. The net effect on the final total background prediction is found to be at most 1-2%.
The uncertainties in the luminosity measurements are incorporated in the estimates of all the prompt-lepton backgrounds and the predicted signal yields. As presented in section 6, the dedicated CRs for the dominant prompt-lepton backgrounds are included in the maximum likelihood fit to the data. The normalization of each of these processes is left to float freely in the fit, independently for each year and for each MET bin. The resulting uncertainties are found to be in the ranges 15-35% for the DY, ∼15% for the tt, and 12-27% for the WZ backgrounds.
The VV background, described in section 6, accounts for all the diboson processes that enter the dilepton search. Its modeling is validated in the VV VR, and its estimated contribution is assigned an uncertainty of 50%, correlated across the three years.
To fully account for all uncertainties related to the simulation of the rare SM processes, a conservative uncertainty of 50% has been assigned to these minor backgrounds for all years.
From the closure tests of the tight-to-loose method, which are presented in section 6.6, a pre-fit systematic uncertainty of 40%, correlated across the three years of data-taking, is assigned on the misidentified-lepton background estimation. This background, however, is constrained significantly by including the SS CR in a single MET bin (p miss T > 200 GeV) in the maximum likelihood fit. With the inclusion of the SS CR in the fit, the post-fit uncertainty in the nonprompt-lepton background after the fit is reduced to ∼5%.
An extra shape uncertainty is applied to the nonprompt-lepton background prediction to account for potential disagreements between data distributions and the templates from simulation used in the ARs. An additional shape uncertainty is included for the SRs for which the corresponding AR distributions are merged across MET bins to account for minor shape discrepancies in different MET bins. These shape uncertainties are applied to the nonprompt prediction independently for every year. The post-fit effect of these two separate shape uncertainties on the nonprompt background is approximately 8% and 5%, respectively.

JHEP04(2022)091
Two additional uncertainties are assigned to all simulated signal samples: the uncertainty in the theoretical cross section due to the variation of the parton density functions is included in the ±1σ curves on the limit scans, and amounts to 3.5-8.5%. The acceptance uncertainties due to the variations of the renormalization and factorization scales are added separately as nuisance parameters in the maximum likelihood fit and are of ∼1% each.
Potential differences between data and simulation in modeling ISR jets are also a source of systematic uncertainty. To this end, the data are compared with the simulation in a general selection that requires two isolated leptons and at least one ISR jet. The residual differences between data and simulation are used to determine p T -dependent correction factors, independently for each data-taking year. The correction factors are applied to the simulation and their differences from unity (1-5%) are assigned as a systematic uncertainty.
Differences in the p miss T reconstruction in the detailed and fast simulations used for the signal samples are taken into account as an additional systematic uncertainty for each year separately. This uncertainty varies between 1 and 10% for the yields of the fast simulation signal samples.
During the 2016 and 2017 data-taking periods, a gradual shift was observed in the timing of the trigger information from the ECAL towards early values. This causes a sizable fraction of electromagnetic objects with |η| > 2.5 to be assigned to the previous bunch crossing. To account for this issue, correction factors are applied and their uncertainties (∼1%) are propagated to the final result.
The uncertainties presented above are included as nuisance parameters in the likelihood fit to the data. To freely float in the fit, the DY, tt and WZ backgrounds are assigned uniformly distributed uncertainties, whereas all other fit parameters are assigned normally distributed uncertainties. The dominant uncertainties are generally the statistical ones. The prompt and nonprompt background normalization uncertainties also become important, depending on the part of the phase space that is probed.

Results
The signal and background expectations are fitted to the data using a binned maximum likelihood fit with the uncertainties incorporated as nuisance parameters, as mentioned above. The signal yields are scaled in all regions of the analysis (also in the CRs to account for possible signal contamination) by a single, unconstrained parameter of interest. The CRs for the DY, tt and WZ processes are added to determine the normalization of the respective processes. Similarly, the SS dilepton CR is included in the fit in order to constrain the nonprompt background. The distribution that enters the maximum likelihood fit is the M min SFOS ( ) for the 3 CRs and the 3 -Ewk SRs, and the M ( ) for the 2 CRs and the 2 -Ewk SRs. Each distribution is comprised by 4 bins in the low-MET bins and 5 bins otherwise. For the 2 -Stop SRs, the p T distribution of the leading lepton (6 bins in each MET bin) is used. In total, the fit that targets signal models with electroweakinos is given 28 SRs (19 dilepton and 9 trilepton SRs), while for models with top squark production 24 SRs (dilepton only) are used. In both cases, the same 32 CR bins are used. 3.6 ± 2.0 6.8 ± 3.0 9 Table 4. Observed and predicted yields as extracted from the maximum likelihood fit, in the 2 -Ewk SRs. Uncertainties include both the statistical and systematic components.
The estimated yields for the SM background processes and the data observed in the 2 -and 3 -Ewk SRs are shown in figures 5 and 6 respectively, while figure 7 shows the 2 -Stop SRs. The estimated yields from the different backgrounds and the data are also summarized in tables 4-7 for each SR. The estimates correspond to the post-fit results (background-only), extracted from the maximum likelihood fit to the data. The uncertainties in the predicted yields include both statistical and systematic components, as described in section 7. No significant deviation from the SM prediction is observed in the data.

Interpretation
The results of the search are interpreted in the context of the SUSY scenarios described in section 3. Limits on the production cross section for SUSY particle pairs as a function of their masses are computed using a modified frequentist approach that employs the CL s criterion and an asymptotic formulation [85][86][87][88].
We express the results as upper limits at 95% confidence level (CL) on the potential presence of a SUSY signal in the data. The limits of the TChiWZ simplified model for the production of a wino pair decaying into bino LSPs are shown for the two signal scenarios described in section 3. When considering the full matrix element of the electroweakino     Table 6. Observed and predicted yields as extracted from the maximum likelihood fit, in the WZ-like selection SRs. Uncertainties include both the statistical and systematic components.
decay, the relative sign of the eigenvalues of the neutralino mass matrix leads to two slightly different M ( ) distributions in χ 0 2 decays. The upper plot in figure 8 shows the limit for the scenario where the product of m The observed exclusion limit shown in figure 8 is weaker than the expected one in the intermediate and high ∆m ranges. This is due to data yields that are higher than the predictions in specific bins of the 2 -Ewk SR (table 4,  15.0 ± 4.0 22.9 ± 5.9 6.6 ± 3.1 6.0 ± 2.  < 0, since this is the combination allowed when the higgsino is the LSP. The results also take into account the off-shell W and Z boson branching fraction corrections mentioned in section 3. A weaker than expected observed exclusion limit in the higher ∆m region is present also for this interpretation for the reasons mentioned above.  The expected and observed exclusion contours for the pMSSM higgsino model are shown in the lower plot of figure 9. The limits are presented in the plane of the higgsinobino mass parameters µ-M 1 . In the pMSSM, larger µ values roughly correspond to larger masses for the parent SUSY particles. Larger values of the M 1 parameter correspond to smaller values of the mass difference between the LSP and its parent SUSY particle. Due to this, the fact that the observed limit is weaker than the expected one for intermediate and higher ∆m values of the TChiWZ and higgsino simplified models manifests at small M 1 values for the pMSSM higgsino model. For direct production of top squarks, the 2 -Stop SRs are instead used in the maximum likelihood fit to extract upper limits on the T2bff χ 0 1 and T2bW models presented in section 3. Figure 10 shows the limits of the T2bff χ 0 1 (upper) and T2bW (lower) simplified models. For both models, the corrections for the modulation of the off-shell W bosons branching fraction are considered. The drop in the exclusion line around ∆m = 20 GeV is caused by the smaller acceptance when going to lower ∆m, which is due to the minimum lepton p T requirements of the SRs.   Figure 10. The observed 95% CL exclusion contours (black curves) assuming the NLO+NLL cross sections, with the variations (thin lines) corresponding to the uncertainty in the cross section for the T2bff χ 0 1 (upper) and T2bW (lower) simplified models. The red curves present the 95% CL expected limits with the band (thin lines) covering 68% of the limits in the absence of signal. The range of luminosities of the analysis regions included in the fit is indicated on the plot.

Summary
A search for new physics is performed using events with two or three soft leptons and missing transverse momentum. These signatures are motivated by models predicting a weakly interacting massive particle that originates from the decay of another new particle with nearly degenerate mass. The results are based on data collected by the CMS experiment at the LHC during 2016-2018, corresponding to an integrated luminosity of up to 137 fb −1 . The observed event yields are in agreement with the standard model expectations.
The results are interpreted in the framework of supersymmetric (SUSY) simplified models targeting electroweakino mass-degenerate spectra and top squark-lightest neutralino ( tχ 0 1 ) mass-degenerate benchmark models. An interpretation of the analysis is performed also in the phenomenological minimal SUSY standard model (pMSSM) framework. In particular, the simplified wino-bino model in which the next-to-lightest neutralino and the lightest chargino are produced and decay according to χ 0 2 χ ± 1 → Z * W * χ 0 1 χ 0 1 are explored for mass differences (∆m) between χ 0 2 and χ 0 1 of less than 50 GeV, assuming wino production cross sections. At 95% confidence level, wino-like χ ± 1 / χ 0 2 masses are excluded up to 275 GeV for ∆m of 10 GeV relative to the lightest neutralino. The higgsino simplified model is of particular interest; mass-degenerate electroweakinos are expected in natural SUSY, which predicts light higgsinos. In this model, excluded masses reach up to 205 GeV for ∆m of 7.5 GeV and 150 GeV for a highly compressed scenario with ∆m of 3 GeV. In the pMSSM higgsino model, the limits are presented in the plane of the higgsino-bino mass parameters µ-M 1 ; the higgsino mass parameter µ is excluded up to 170 GeV, when the bino mass parameter M 1 is 600 GeV. For larger values of M 1 , the mass splitting ∆m( χ 0 2 , χ 0 1 ) becomes smaller; for M 1 = 800 GeV, µ is excluded up to 180 GeV. Finally, two tχ 0 1 mass-degenerate benchmark models are considered. Top squarks with masses below 540 (480) GeV are excluded for the four-body (chargino-mediated) top squark decay model, with a ( tχ 0 1 ) mass splitting at 30 GeV.